Untitled

[ittarget]

Tech Vedika Cloud Managed Services to help you Improve Security and Optimize Cost & Performance

Introduction

This whitepaper describes in detail the components of AWS Managed Services offered and the benefits an organization can realize by embracing Cloud Managed Services. Manging services in the cloud require professionals with a good understanding of cloud services, cloud-native development, and tools for monitoring & alerting, and handling incidents proactively. We also put forward the unique value proposition Tech Vedika brings to help organizations in enhancing the ROI from their cloud investments and improving the overall application performance and security.

Cloud Managed services are either the partial or complete management and control of a client’s cloud platform. The services include migration, maintenance, and optimization of infra and applications hosted on the cloud. By using a managed cloud service provider, a business can ensure that its cloud resources are used efficiently to keep cost and performance at optimal levels.

The cloud management lifecycle includes the configuration and management of the cloud environment’s core processes, services, operations, and support components. Clients can adopt Cloud Managed Services throughout the cloud management lifecycle. These services can be used to help with an initial adoption or can be provided continually.

AWS Managed Services – Overview

Tech Vedika’s offering for AWS Managed Services comprises of the following core services:

An assessment of the current AWS support services

AWS Services support for the full DevOps cycle including development, testing, staging, and production deployment

Design and implementation of cloud services and resources to set up new systems

Operations management with 24/7 active monitoring & IT support

Cloud account security and compliance

Cloud resource optimization which includes cost and performance optimization

Infra as a code, automation

By offloading these types of tasks to Tech Vedika, organizations can free up their internal IT teams to focus on more complex initiatives and efforts that drive new business outcomes.

AWS Managed Service Offerings

The following are the service offerings that are included in Tech Vedika’s AWS Managed Services model:

Application Deployment & Configuration

Tailored for providing deployment support to Project Teams

Design Deployment Architecture

Setup Environments

Develop Scripts & Automate Deployment

Manage User Access to Infra Services

24 by 7 Infra and Application Performance Monitoring

Tag Infra and App Services for collecting data

Configure AWS and 3rd Party tools for Infra and App Monitoring

Setup thresholds and alerts

Proactively identify Performance Issues for Corrective Action

Ensure Optimal Application performance

Incident Analysis & Resolution

Help Desk (L1) Support

Prepare User Guides & Technical Support docs

Application Usage, Dashboards & Reports

Involve AWS SREs (L2) for root cause analysis and incident resolution

Route incidents to Application Development Team (L3) as needed

SLA and incident management reporting

AWS Backup and Disaster Recovery

Design Backup & DR Strategy

Setup Backup & DR Environments

Configure AWS tools and build scripts for Backup and archival

Support for Restore Operations

Account Monitoring & Cost Optimization

Manage AWS account and user access

Monthly reports on resource utilization and billing

Usage and Cost Monitoring for Reporting, Billing Analysis, and Cost Optimization

Analysis of unused, over-provisioned resources

Recommendations for Cost Optimization

Implement proven strategies for Cost Reduction

DevOps Automation

Implement CI/CD Pipelines using AWS & 3rd Party Tools

Source Code control Audit & Management

Provisioning, configuring and managing AWS infra resources using AWS tools & templates

Deployment of microservices using AWS container services

Log collection and analysis for app/infra health monitoring using AWS and 3rd Party Tool

Managed ServicesScope – AWS Infra Support

24*7 Monitoring of the Cloud infrastructure

Basic Monitoring of Infrastructure using tools such as CloudWatch, Cloud Trail (Optional RAM, Disk File Metrics)

Manage cloud services and components

Elastic Cloud Compute (EC2) instances

Storage

Network and Security (public subnets, private subnets, security rules, VLAN, etc.)

Identity and Access Management

Load Balancer

Take backups and snapshots of application servers and database

Creation of new AWS resources from pre-configured AMIs, creating read replicas, automating backups for new resources in AWS part of existing resources

Provide dashboards for monitoring and SLA reports using the ITSM tool

TechVedika Managed Services Model

Tech Vedika managed services are based on SLA-driven technical support.

Alerts that are triggered from the monitoring tools are converted to incidents using the ITSM tool. The Cloud monitoring team acknowledges the incident based on the priority and assigns a team to the cloud ops team for resolution. Customers are provided with access to the ticket management system for raising support requests. The Service request raised is then routed to the CloudOps team for resolution.

The below diagram depicts the flow of the incident and the SR that is being raised.

SLA Model

The service level agreement is prepared along with inputs from customer business and IT teams and the actual time expected to resolve issues is determined based on the system impact and customer expectations.

PriorityPriority DefinitionResponse TimeResolution Time in hours

Priority 1 (P1)

Unavailability of service for all end-users

High Business Impact

High Operational Impact

System Unavailability

Critical Incident

No workaround available

24X7 availability

Less than 15 mins

1 hour

Priority 2 (P2)

Partial unavailability of service

Low Business Impact

Low Operational Impact

Some end users impacted

Critical Incident

No workaround available

During Normal Business Hours

Less than 1 hour(s)

4 hours

Priority 3 (P3)

Non-critical problem

Low or no business impact

Low or no operational impact

Workaround available

During Normal Business Hours

Response within 4 hours

24 hours

Priority 4 (P4)

Service Request

During Normal Business Hours

Response within 24 hours

48 hours

Other than the above-defined priorities there will be an option to raise a service request for the ad-hoc activities through the ticket system. These ad-hoc requests are considered as low priority service requests and completion time is decided based on the type and scope of activity.

Managed Services Governance & Reporting Model

TechVedika will set up a governance model comprising of a steering committee and other stakeholders. TechVedika recommends the following communication and issues resolution process in the form of weekly, and monthly updates to ensure that the managed service is effective.

MeetingScheduleObjectivesMembers involved (both “Company Name” and Customer)

Project MeetingsWeeklyReview status against plan within project management, understand any issues that are impacting progressProject Manager, Support team lead

Steering Committee MeetingsMonthlyTo review progress, provide guidance and oversight to the project.

To monitor and communicate progress and status to company executives on a regular basis

To commit the required resources to the program

Members of Steering Committee from “Company Name” and Customer (Sponsors, Business leaders, “Company Name” Delivery Executive)

“Company Name” and Customer Project Managers

Why TechVedika for Cloud Managed Services?

Tech Vedika has proven experience in cloud-native development and ongoing support of cloud-hosted applications. Tech Vedika brings technical architects and consultants with strong experience in handling public cloud platforms.

At TechVedika, we are committed to helping businesses leverage custom cloud solutions to control costs and automate critical processes. As a cloud-managed services provider, we set up, manage, and protect your cloud environment so you can focus on growing your business. With the experienced and certified AWS team, Process, Tools, and framework TechVedika can help manage customers’ workloads in a more optimized and secure way.

https://techvedika.com/tech-vedika-cloud-managed-services-model/ 

[ittarget]

TechVedika is a certified AWS services partner and carries vast experience in managing cloud environments.

Amazon Web Services

Overview of Techvedika AWS Services

Learn More

Overview

Today, organizations have to innovate faster, create new revenue streams, derive timely insights from data, and leverage AI, ML, IoT, DevOps, and Cloud technologies for sustenance and growth in this increasingly competitive marketplace. TechVedika has helped several organizations across industries, by delivering cutting-edge technology consulting services for improving efficiency at reduced costs. Our cloud practice offers profound expertise in AWS and all leading cloud technologies.

AWS Partner

Tech Vedika is a certified AWS Partner.

As part of this certification, Tech Vedika has demonstrated that it has the essential AWS technical requirements (certifications and credentials) and proven customer experience. Tech Vedika has access to technical guidance, training and resources from AWS to successfully undertake solution architecture, application development, application migration, and managed services for customer workloads leveraging AWS services.

Why TechVedika?

Certified Partner of AWS Cloud Provider

Highly Talented & Skilled Workforce

Scalable & Sustainable Cloud Infrastructure

Ensures high performance and security through proactive monitoring and prompt response

Service Offerings

AWS Migration Services

AWS Migration Service unravels and accelerates the journey of cloud migration, with low investment, a speedy realization of benefits, and minimal downtime. This makes the system scalable with higher throughput and a phenomenal digital experience for the end-user.

Read MoreAWS Consulting Services

AWS Consulting Service is a set of recommendations and best practices needed for a successful cloud journey. It helps in improving the security and performance of the system, at the same time optimizes the cost and infrastructure.

Read MoreAWS Managed Services

TechVedika Managed Cloud Services offers management of a client’s cloud resources/infrastructure. Management responsibilities include active cloud services monitoring, architectural design, resources performance, cost optimization, security and compliance, reports and governance.

Read MoreCloud Native Development

We offer expertise and advisory service for the quick development & management of cloud-native enterprise applications. This includes containerization, migrating monolithic applications to microservices, API management and advanced features like CQRS & Event sourcing.

[ittarget]

Why Is Group Study Beneficial?

WHY IS GROUP STUDY BENEFICIAL?

Group study is a very beneficial and effective way of developing learning skills which many parents make the mistake of overlooking. It is a space where children get the chance to make friends, share knowledge, and motivate one another to study. These groups are an effective learning strategy because they create positive energy, instil discipline, foster critical thinking, and encourage active participation. Read on to see why study groups may actually be suitable for your child and what their benefits are.

Better Understanding of the Subject More often than not, studying alone leads to a time-consuming process of baffling around the material while trying to separate important concepts from the topics of least consideration. Peer groups foster positive influence and help children indulge in sharing and creation of ideas. Studying collectively allows children to discuss their share of knowledge in a particular chapter and as a result, increases their overall understanding of the subject. It results in the clear identification of topics, better understanding, faster learning, and a boost in morale.

Promotes Group Spirit Learning with a group of friends promote group spirit and helps your child be a better team player. Students learn to get along with others in a team-oriented environment and become focused, patient, and well-rounded team players. Hence, it is always better to get valuable team experience from an early age.

Support From Peers Exam anxiety and stressful study topics create uneasiness among children and are quite common in today’s scenario. The concern, distress, or fear hinders the learning process and assessments to a great extent, which in turn, affects the students’ grades. Experts recommend study groups for young and old alike as it is a good support system that motivates and encourages students by providing them with much needed mental support.

Fun Way Of Learning Studying alone can be rather monotonous and tiring. Children usually love participating in group activities so studying with friends is much more fun and exciting. Interacting with similar individuals is a challenging yet fulfilling experience. Joining study groups makes studying an enjoyable activity rather than a draining one.

Boosts Motivation A lot of times, individual studying leads to wastage of time, boredom, as well as frustration. One does not feel motivated and ends up procrastinating their studies. In such a case, a bit of moral support goes a long way. Studying becomes easier with groups where you can share common problems with your peers and can come up with collective solutions to tackle them. Your child can automatically feel motivated to work harder by being surrounded by like-minded friends and also have the chance to form strong, long-lasting friendships.

Understanding Different Perspectives A study group introduces your child to new ideas, skills as well as other innovative ways of thinking. It is an opportunity for children to share their knowledge, understand different perspectives and discuss the subject. Sharing space and knowledge ultimately help your child to accept differing opinions and respect them as well.

New Study Habits Group studying promotes many new and healthy study habits for children in their daily life. A change in the study environment will help your child adopt study patterns that may help them cope with the subject better. It encourages students to think critically, make notes, and practice regularly as well as avoid procrastination. Additionally, sharing space with peers enhances your child’s personal and professional skills. Children build strong communication skills and gain team experience from an early age.

[ittarget]

Why Is Group Study Beneficial?

WHY IS GROUP STUDY BENEFICIAL?

Group study is a very beneficial and effective way of developing learning skills which many parents make the mistake of overlooking. It is a space where children get the chance to make friends, share knowledge, and motivate one another to study. These groups are an effective learning strategy because they create positive energy, instil discipline, foster critical thinking, and encourage active participation. Read on to see why study groups may actually be suitable for your child and what their benefits are.

Better Understanding of the Subject More often than not, studying alone leads to a time-consuming process of baffling around the material while trying to separate important concepts from the topics of least consideration. Peer groups foster positive influence and help children indulge in sharing and creation of ideas. Studying collectively allows children to discuss their share of knowledge in a particular chapter and as a result, increases their overall understanding of the subject. It results in the clear identification of topics, better understanding, faster learning, and a boost in morale.

Promotes Group Spirit Learning with a group of friends promote group spirit and helps your child be a better team player. Students learn to get along with others in a team-oriented environment and become focused, patient, and well-rounded team players. Hence, it is always better to get valuable team experience from an early age.

Support From Peers Exam anxiety and stressful study topics create uneasiness among children and are quite common in today’s scenario. The concern, distress, or fear hinders the learning process and assessments to a great extent, which in turn, affects the students’ grades. Experts recommend study groups for young and old alike as it is a good support system that motivates and encourages students by providing them with much needed mental support.

Fun Way Of Learning Studying alone can be rather monotonous and tiring. Children usually love participating in group activities so studying with friends is much more fun and exciting. Interacting with similar individuals is a challenging yet fulfilling experience. Joining study groups makes studying an enjoyable activity rather than a draining one.

Boosts Motivation A lot of times, individual studying leads to wastage of time, boredom, as well as frustration. One does not feel motivated and ends up procrastinating their studies. In such a case, a bit of moral support goes a long way. Studying becomes easier with groups where you can share common problems with your peers and can come up with collective solutions to tackle them. Your child can automatically feel motivated to work harder by being surrounded by like-minded friends and also have the chance to form strong, long-lasting friendships.

Understanding Different Perspectives A study group introduces your child to new ideas, skills as well as other innovative ways of thinking. It is an opportunity for children to share their knowledge, understand different perspectives and discuss the subject. Sharing space and knowledge ultimately help your child to accept differing opinions and respect them as well.

New Study Habits Group studying promotes many new and healthy study habits for children in their daily life. A change in the study environment will help your child adopt study patterns that may help them cope with the subject better. It encourages students to think critically, make notes, and practice regularly as well as avoid procrastination. Additionally, sharing space with peers enhances your child’s personal and professional skills. Children build strong communication skills and gain team experience from an early age.

[ittarget]

How to Improve Your Child’s English?

HOW TO IMPROVE YOUR CHILD’S ENGLISH?

Today, we live in a Global village where all parts of the world are interconnected through new media technologies such as the internet. It is a network of networks that is accessible by all at any convenient time and use. It provides an array of information sources and services which help in improving our standard of living. It is a vital means of mass communication. Communication has become the central part of our lives to build good relationships and community as a whole.

Need for Communication and Language

There are ample reasons for communication. We use communication for various purposes such as to express needs and feelings, to inform, to educate, to enquire, to appreciate, to warn, and so on. Though the medium of communication has evolved over the years, the basic need for communication persists. It is possible only by knowing the language. Communication and language are interlinked and are vital for human connection. Every language has its significance in every country. Hence, Language is essential for communication.

Importance of Learning English

English is considered as the universal language. It is a widely spoken official language globally. The whole purpose of communication is to build connectivity and language is the means of communication and a way to express oneself with others.

Benefits of Learning English

Learning English broadens your knowledge. You can travel to any country and use English to communicate. It is because four out of every five people can understand English. It provides your child with various opportunities to grow and learn. It expands the horizons of learning and development for your child’s future. It provides a strong foundation for future career prospects. Inspire your children to learn good English.

5 Benefits of Learning English (Infographic):

Improves Memory

Better Focus

Better Understanding

Quick problem-solving

Boosts Communication skills

How to master the English Language? Here are ways to make English learning fun for children:

Language development takes place in the early developmental stages. Language is the greatest gift that humans have. A child’s mind is capable of learning many languages. It is believed that spoken languages are better learned during childhood. Child’s brain functions more actively and accommodates language skills more efficiently than adults. Language acquisition flourishes in children when they reach 15-18 months of age. From a stage of understanding sounds, they eventually progress to relate sounds to language.

Unlike other languages, English is composed of various components. It comprises grammar and vocabulary including alphabet, syllables, phonetics, pronunciation, vowels, consonants, parts of speech, spellings comprehension, letter writing, and more.

Dependent Factors that impact child’s English learning:

Medium– Medium such as books, audio, video, etc. are teaching aids that act as major contributors used in the process of teaching English, influencing their language skills and making learning interesting and impactful.

Environment– It is important to provide a learner-friendly environment free from all distractions that deviate their attention from focus while learning. Make them comfortable. Let them be willing to learn without pressuring them.

People– Children observe, listen and learn from the people around them. Therefore it is important to be mindful of our communication and make it useful for children’s English vocabulary.

Motivation– Encourage your children to improve English by providing them with resources that will help improve English. Example: Suggesting correct usage of English in daily conversations, enrolling them in English public speaking classes or English vocabulary classes according to their level of learning, encouraging reading and copywriting, etc.

Emphasizing the Elements of English –Learning put into practice makes it effective. As much as possible try to incorporate English in daily activities. You can ask them questions which enables them to think and apply their learnings practically. You can also devote separate time for learning through activity depending on your free time.

Read English –Several English books are available online or in stationery shops as per age limit to help reading habits. Give them reading materials and encourage reading daily, be it a paragraph or a story. This develops a child’s reading skills as well as language skills.

Speak English –Allow them to frame sentences on their own. This can be done through activity. Make them stand in front of the mirror and pronounce difficult words in the lesson. Guide them intensely by paying attention to those areas where they find it hard such as grammar use or pronunciation. Besides, you can enroll them in public speaking classes.

Write English –You can give them copywriting books to practice writing English daily. It improves their handwriting. Give them any paragraph from the reader or newspaper or any English book to copy. Encourage them to say and write. They can even write ‘thoughts for the day’ daily. This will help better coordination and concentration.

Listen to English –Listening skills are essential in life. It is important to understand others. Encourage them to self-learn by picking up new words from what they listen to, either from others or audiobooks or music or any video. Provide them with a personal pocket dictionary which they can refer, to anything they come across and learn its meaning.

Conclusion

Practice makes one perfect. Make English learning part of routine life. Help your children, to gain confidence in English speaking and writing. While correcting their mistakes don’t interrupt in between, instead allow them to complete and then you can make them realize their mistake and then correct it. Thus, make English learning enjoyable yet impactful for children.

Let them try – as the quote goes ‘Try, try until you succeed’.

Reinforce learning by giving them opportunities to use English vocabulary they already know.

Some children may be interested in music, while some are visual learners, some easily follow instructions. As a parent one needs to identify the ways your child finds it easy to articulate the English language. Accordingly, apply useful methods to encourage learning which will benefit your child.

“Knowledge is of no value unless you put it into practice.”- Anton Chekhov”

[ittarget]

Everything You Need to Know About Data Steward

Everything You Need to Know About Data Steward A professional responsible for the effective management of the enterprise data. Data […]

Everything You Need to Know About Data Steward

A professional responsible for the effective management of the enterprise data. Data steward handles a plethora of responsibilities related to data guidelines, data policies, data processing and manages the enterprise’s valuable information in compliance with the regulatory and policy obligations.

Who is a Data Steward?

A data steward ensures that an organization’s data is well managed so that inconsistent mapping does not cause confusion, and it allows the platforms to communicate with each other. Data Steward focuses on data collection, its usage policies and also on implementing across an enterprise. The role of the data steward includes planning, managing, deploying, and maintenance of the data assets. Data stewards help enterprises to take complete control and govern all forms and types of data along with the existing storage of data.

Data Stewardship:

Data Stewardship can be defined as the oversight and management of the enterprise’s data assets which will enable business users with quality data that can be accessed in a compatible way. Data Stewardship focuses on planned coordination and implementation of data usage.

Roles of Data Stewardship:

Undoubtedly, Data Stewardship is an essential part of Data Governance that represents the allotment of specific roles and responsibilities within the enterprise for the purpose to supervise the resourcefulness of an Executive steering committee. Data Steward focuses on improving the security and accessibility of enterprise data.

With a well-implemented Data Stewardship model, your enterprise can successfully achieve fully governed data which are defined by:

Well known derivation and calculation rules

Being standardized in its enterprise name and definition

Focusing on the rules that surround creation, usage, and deletion

Some Of the Main Activities of Data Steward do Include

Define and describe the elements of enterprise data and data domain values

Initiate and authenticate data quality rules

Focus on identifying and resolving data quality issues

Convert regulatory rules to data rules, policies, and standards

Identify and define data security requirements

Focus on promoting the use of common reference data, accepted data definitions, and sound data usage practices.

Create and maintain business rules, domain values and metadata definitions, etc.

Focus on providing accountability for ensuring the consistent and timely collection of data

Guide and provide instructions to others on the purpose and use of data

Provide usage expertise and data understanding to the projects that need development and further enhancement

The Importance of Data Stewards in Your Enterprise.

Data stewards can add more value by creating rules and accountability of data in enterprises with less-defined roles and hierarchies

Data stewards encourages the usage of quality data within the organization and focuses on increasing data awareness

Data stewards contribute to creating and building data-focused culture

An ideal data steward helps to set consistent guidelines which facilities interdepartmental communication effectively and prevents any type of confusion and miscommunication

Data Stewards helps to create high quality data that is vital for making trustworthy analyses

[ittarget]

it is necessary to be able to measure the business value of data governance in order to understand the overall benefits of opting for data governance and transforming your data into insights. The important step after enforcing the data governance policies is to measure the business value of the data governance, by creating metrics in accordance with the business relevance.

How to Measure the Business Value of Data Governance

Data Governance is vital for many enterprise information capabilities such as master data management, reference data management, data quality, data insights, and more. It requires collaborating within a complex and robust combination of factors such as data stewardship, policy definition & management, and decision rights. With a plethora of factors that are involved in running a data governance program, it is necessary to be able to measure the business value of data governance.

The previous blog on Why do you need to Opt Data Governance for your Enterprise? helps to understand the overall benefits of opting for data governance and transforming your data into insights. The important step after enforcing the data governance policies is to measure the business value of the data governance, by creating metrics in accordance with the business relevance. The metrics must be capable of being measured empirically and must be meaningful to reflect the impact of data governance on the business. The metrics should serve the process of providing insights and how the organization uses the data to support its processes of the business and accomplish its objectives and make business decisions.  For instance, data governance policies regarding data quality must lucidly define the business. When you are initiating data governance in your enterprise it is vital to identify types of metrics that are relevant to your business.

Data Governance is an area that is challenging to measure as it is not only the tool but also the design of the overall process. It is vital to consider multiple types of metrics that can portray the complexity of the data governance programs that deliver value to your company. It is a challenge to understand your goals, issues, and also the impacts of resolving the issues.

Importance of Metric in measuring the value of data governance:

Measure the impact of data governance efforts in business terms

Reduction in the risk scenarios

Reduction regarding the data rectification costs

Improvement in the data quality count

We have to define the metrics by identifying the issues. This will enable us to change and improve accordingly.  Most of them include followingMetrics to be measured:

Data Accuracy

Effort to Comply

Cost Reduction

Audit Frequency

Submission Time

Metrics can be used to measure the performance in the the following key areas:People

Reviewing and prioritizing issues in Data Governance meetings

Training as per new system/process

Data governance adoption rate – via survey

Number of domains vs number of data owners

Process

Identifying the number of data issues

Setting up a system that includes delegating or escalating processes for managing disputes regarding the data issues

Number of issues and the frequency that is being escalated to the Data Governance Committee

Apportionment of time right from issue identification to resolution

The number of implemented policies, standards, and processes approved

Technology

Number of data fields that are traceable from source to the usage

Number of the spreadsheets that are used

Number of the data sources that are consolidated

Number of duplicate products and unique identifiers

Reporting accuracy and efficiency

[ittarget]

All You Need to Know About Offshore Development Center (ODC) - Avench - emphasis on embedded

All You Need to Know About Offshore Development Center (ODC)What is an Offshore Development Center? An Offshore Development Center (ODC) offers world-class prototyping, development, manufacturing, test, verification and R&D solutions in a highly cost-effective format with clients staying in full control. The ODC includes a dedicated offshore team that works on major functions and helps […]

What is an Offshore Development Center?

An Offshore Development Center (ODC) offers world-class prototyping, development, manufacturing, test, verification and R&D solutions in a highly cost-effective format with clients staying in full control. The ODC includes a dedicated offshore team that works on major functions and helps to maintain external outsourcing coordination with the internal team. The ODC consists of a workspace that includes an R & D facility, prototyping labs, manufacturing units and technical experts with the required skill sets. In simple terms, it is all about the extension of your company.

As per this model, based on customer expectations, the team is managed by a project leader at the offshore location. The customer pays as per the agreement terms with the company for the offshore development center. Generally, the agreement is based on either set of projects or one large project which can be operated from offshore. Offshore Development Center (ODC) has a review cycle annually which does an analysis of the overall rate assessment, investment and budgeting. It also conducts quality assessment and performance evaluation for overall quality of the program. Not only does ODC benefit the client with the best level of RoI, but it also delivers projects on time. By being cost effective, the customer can get more visibility with this ODC model. ODC focuses on a flexible structure when it comes to methodologies, work and approaches.

Let us understand some of the main ODC Characteristics

In ODC, a dedicated team is assigned in a specific facility or location

The infrastructure is exclusively designed for this specific purpose

The security policy is designed according to the requirements and regulations

Education and training programs are conducted along with separate HR programs from time to time

As per companies’ budget and requirements, team flexibility is monitored

Learning curves can be made shorter for a swift approach in marketing

The experience and expertise for team integration and learning helps to improve the overall quality

The employee flexibility feature helps for swift adjustments and keeps production moving

The transfer of knowledge is effectively managed and executed

Though there are some ODC team management challenges such as security risks, cultural differences, communication and management, time zones and scalability, there are also many benefits:

Expanding the market to a foreign country

Cost reduction

Cheaper facilities

Large team with multiple skill set

Product Localization

Easy access to the talent pool

Opportunity to devote more time to the business

Now by defining your business needs and goals, choosing the appropriate location and finding a reliable partner you can set up an Offshore Development Center successfully. Avench’s Offshore Development (ODC) Model Key Features include:

Shared responsibility of resource and schedule

Detailed on-boarding process for setup activity

Minimum contract period of 3 months

Notice period of 15 days

[ittarget]

What is Model Based Design and Why is it Important?

Model-based design(MBD) is a visual and mathematical method of addressing challenges that are associated with the communication systems, signal processing, and designing complex control. Model-based design helps integrate testing with design to identify and fix errors encountered during the process.

Model-based design helps integrate testing with design to identify and fix errors encountered during the process. As per current market expectations, the systems and devices are preferred to be customizable, compact, easily maintainable, and durable. To meet such market demands embedding complex microchips, microcontrollers and processors inside these systems is required. A model-based design approach is vital to verify and validate the working of the embedded systems as per the design and requirements. In modern days it is difficult to find a smart device without the inclusion of an embedded computer system in it. Undoubtedly, embedded systems are necessary to differentiate products in terms of functionalities and features. An ideal embedded product goes through several processes such as integrating peripherals, processors, and software with functioning and testing compliance, developing the required platform with necessary programming tools, and languages designing the architecture. Model-based design is mostly used in industrial equipment, automotive, motion control, and aerospace applications. Globally, there is a tremendous increase in the usage of compact devices and the sizes of microchips and processors keep shrinking, which requires the development of more sophisticated control systems. It is important to monitor application design processes and entire embedded control systems for the purpose of optimizing the overall system design. In this context, the model-based design approach is an efficient and effective means of understanding the parts of the products such as processors and commercial microcontrollers. Further, it helps to address complexities and difficulties that arise during the entire lifecycle of embedded application software through simulation of models and visual prototyping. MBD (Model-based design) covers optimization regarding cost, performance and functional behavior to deploy a product, from the concept of design to validation and testing. Benefits of model-based design: Model-based design helps in eliminating human errors and enables the reusability of the code. When opting model-based design gradually, enterprises have successfully achieved immediate results such as: Benefit 1: Faster time to demonstration and time to market with a quality product Benefit 2: Faster iteration without any need for major hardware changes Benefit 3: Handling sophisticated embedded systems with expanded capacity Benefit 4: Reusable models that can help in reducing development time and cost Benefit 5: Controlled design, analysis, and constant testing for improvement Benefit 6: Reduced number of prototypes, leading to higher ROI By the use of MBD tools, engineers can Decrease development time Fast track product development By using fewer prototypes, resolve design problems if any Streamline workflows of testing and verification

[ittarget]

Undoubtedly, Metadata is one of the critical elements that enable maintaining the value of the enterprise data. Metadata is generated from time to time collected from the source and provides the means not only in identifying but also for defining and classifying the data. This enables technologists and users to use the content and context of the assets accordingly.

How Benefits of Data Governance Creates Wealth of New Opportunities ?

Data is the core of digital transformation and Data Governance is the need of the hour in the most happening Digital Universe today. Data Governance helps unleash the power of data by processing unstructured, non-uniform and duplicate data to deliver business insights. Data Governance is all about managing data as an asset and involves ensuring strategic control around data, its use, structure, content, and safety. For effective Data Governance, we need to understand what type of data exists, its quality, who is using it, for what purpose they are using it, and who is accessing it, and all these use cases are governed, compliant, and secured.

Businesses are embracing new age technologies such as artificial intelligence, machine learning, and advanced analytics, as the world progresses towards digitization with the velocity and variety of data is increasing. Different types of data require different types of control and governance processes with guidelines to ensure that systems can store, manage and analyse the data both effectively and correctly.

From Chaos to Clarity

By orchestrating people, process, and technology processes, Data Governance enables an enterprise to leverage data as a business asset. Data Governance includes understanding and effectively managing data that helps enterprises to derive maximum value from it. Implementing a Data Governance strategy comes with a lot of challenges and its approach should serve the enterprise data needs and requirements.

Data Governance helps to build Data Trust and its initiatives are driven to focus on improving data quality. Data Governance helps increase the value of an enterprise, the greater the enterprise is at governing data, the greater of positive outcomes. Data proves to be very useful when used appropriately.

With Effective Implementation of Data Governance, you can achieve the following:

1. Swift Decision Making which is possible by:

Decreased reporting errors

Easy access to reliable data

Transparent communication and improved standardization

Speedy acquiring and analyzing large sets of data

2. Increase in Revenue which is possible by:

Improving customer experience

Optimizing marketing strategies

Introducing new products

3. Enhanced Data Privacy and Risk Management which is possible by:

Increased efficiency management of financial, operational, and regulatory risk by ensuring data integrity, security, privacy, completeness, and consistency.

4. Improved Capabilities which is possible by:

Increased collaboration, productivity, and efficiency that enables enhanced knowledge management

Transparency can be achieved with holistic business process documentation

By establishing Data Ownership the Data Security can be improved

Confident and consistent business decisions can be based on the data that is trustworthy

Defining and verifying data distribution policies that include the roles and accountabilities

By documenting the lineage for the Data Assets, enterprises can meet regulatory requirements and avoid fines

Addressing data issues by standardizing processes

By enabling policy and procedure support that can be provided to data stewards

[ittarget]

Undoubtedly, Metadata is one of the critical elements that enable maintaining the value of the enterprise data. Metadata is generated from time to time collected from the source and provides the means not only in identifying but also for defining and classifying the data. This enables technologists and users to use the content and context of the assets accordingly.

Top 6 Common Data Quality Issues

Globally enterprises are more data-driven and focused on unlocking the power of data to make right decisions. Impactful decisions are made when the data is accurate. Quality of the data helps to timely react to the new market opportunities and it immensely contributes to the growth of organization. Data Quality refers to the state of a quantitative or qualitative piece of information.

Quality and reliable data helps you stay ahead of the competition, and your business to be agile. It helps you to improve customer relations, data consistency and effective marketing. Data Quality and its effective management helps you to gain a competitive edge, enables and maintains compliance, improves scalability & consistency.

Let us now understand the top 6 common data quality issues:

Duplicate Data: This data quality issue arises when the same data is entered more than once in different ways. Duplicate data is created in the process of extracting  data from the multiple siloed systems and consolidated together in a data warehouse, creating copies of the existing and the same record. Duplication produces incorrect insights when undetected.

Incomplete Information: This data quality issue happens when critical pieces of information are missing due to ETL processes failure to input at the source systems. Fields which are not filled or left blank are the major constraints for the enterprises when using the data for any critical purpose.

Data Inconsistency: Data inconsistency issue arises when storing data in the same field that is either in different units and in different languages. When information such as address and names are duplicated that leads to a compromise in data integrity. Data Inconsistency is caused by redundancy as somebody may change the value in one file and not change in another file.

Inaccurate Data: This is one of the biggest data quality issues that occurs when every value is complete and format is correct but there are mis-spellings  or inaccurate data. Example of data quality related issue–  It is difficult to conduct forecast analysis when sales data entered into your system is incorrect.

Invalid Data: On simple logic or rules, data invalidity scenario arises when your data cant be exact and precise. Invalid data are the values which are generated incorrectly and can be challenging to identify visually but can be explored in analysis and have to be removed from the data set.

Data Imprecision: Lack of precision or data imprecision is when the data has been stored at an outline which is due to ETL process which does not help users to get to the detail which is needed for analysis. Lack of coordination and teamwork between different departments is one of the reasons for Data Imprecision.

By addressing the issue in the source system, fixing during the ETL process  and fixing at the meta-data layer you can address the data quality issues. By following data quality management best practices such as metadata management, profiling data, creating data and issues log quality reports, dashboards, setting quality alerts and implementing data governance and stewardship processes data quality issues can be prevented.

[ittarget]

Why Is Data Analytics Used in the Retail Industry ?

Why Is Data Analytics Used in the Retail Industry ? Data analytics is all about the science of analyzing raw […]

Why Is Data Analytics Used in the Retail Industry ?

Data analytics is all about the science of analyzing raw data to make valuable insights. Many of the processes and technicalities are automated into mechanical algorithms that work on raw data for our understanding. Globally, data analytics is applied in all stages of the retail process, by the big retail players. It is used to help enterprises to improve on profit maximisation and discover new sales opportunities. Retailers are considering  leveraging the power of data analytics in this constantly changing world by focusing on new innovative ways.

Let us now understand what are the top 5 ways data analytics can be used in retail

Analysing Customer Behaviour – Data analytics helps to track customer behaviour which help retailers understand what their customers like and how and in what way they are shopping and where they like to receive promotional offers. Using this type of data, retailers optimize their marketing efforts and create offers that suit the customers in the form of personalization and retention that ultimately improves sales and lowers the operational costs.

In-Store Tracking – In regards to brick and mortar and omni-channel retailers, a focus to improve in-store experience is vital. Tracking helps to improve merchandising by using data analytics. To do so, mobile applications, beacons and sensors are used to study the movements of the customer throughout the store. After data is collected it is analyzed for insights in regard to how to focus on customer attention, deliver customer experiences and what makes the consumers come back to the store again and again.

Superior Promotions – In the retail industry, improving conversion rates is vital as online e-commerce continues to be skyrocketing. With targeted promotions and predictive analytics retailers can uncover what type of products and offers are popular. With this strategy of experiment and analyze new ways to capitalize on the customers interest can be explored further

Focusing on Customer Journey – Focusing on customer journey and overall analysis of their entire experience with any type of brand is important. Right from communications to in-store and online store experience, purchases and its related interactions with respective ads, achieving a full view of this enables to increase the chances of closing a sale and reduce the risks of cart abandonment. Furthermore, retailers can understand the best and innovative way to guide customers to complete the buying process.

Supply Chain and Operational Improvements – By using data analytics , retailers are focusing to gain a competitive advantage. The data is used for almost everything right from product tracking to improved quality and from real time inventory management to better forecasting. Making sound decisions at the operational level not only helps to bring down the costs but also improves overall supply chain.

[ittarget]

Top 6 Data Management Trends in Financial Services Industry

Top 6 Data Management Trends in Financial Services Industry Globally, privacy of sensitive customer data is of utmost importance. As […]

Top 6 Data Management Trends in Financial Services Industry

Globally, privacy of sensitive customer data is of utmost importance. As there is a larger possibility of access to the huge tons of sensitive customer data, financial services providing enterprises take preventive measures to ensure that there is no breach before implementing any plans for data management. Data management in the financial services industry is about the system, processes and policies that enable enterprises to oversee sensitive and confidential information and ensure compliance with present and emerging regulations. Today many enterprises are leveraging tools such as machine learning and artificial intelligence to enable data management more effectively.

Top 6 Data Management Trends in Financial Services Industry

Trend #1: Transparency – Customers are now more aware of the ways that enterprises collect, store and distribute their private data. Focusing on all these, transparency is now the most popular trend in the financial services providing companies, as they work to establish trust and inculcate confidence in their customers. In data management, maintaining transparency helps your enterprises to capitalize on winning customers’ trust. Almost all financial services companies focus on steps that are taken to keep their customers’ verification information more protected.

Trend #2: Compliance Management -Compliance management is one of the growing challenges for financial services companies. Many enterprises are focusing on building compliance management programs that help IT security teams account to prevent any types of risk and ensure compliance is well maintained even with any new regulations entering the landscape. Defining compliance management programs enables employees to follow and maintain effective cyber security.

Trend #3: Facilitating a Culture of Cyber Consciousness – Employees often are targeted by various types of cyber-attacks, such as to get unauthorized access via fraudulent emails or in any other forms of communication. Training employees to be cyber-aware is vital. Employee cyber security training is the best thing that many companies are working on. This helps your employees understand how to identify and react to any type of threats they come up with.

Trend #4: Implementing AI and Machine Learning – Many enterprises have begun to capitalize on the solutions in regard to technologies such as artificial intelligence and machine learning. Mostly two-thirds of financial services industry personnel found a positive impact of AI. Enterprises can streamline data management operations which enable automation for improved efficiency and gain actionable insights by using Best Master Data Management Platform to focus on improving workflows and addressing any security gaps.

Trend #5: Third-Party Vendor Risk Management – Enterprises can streamline their operations and provide a better experience for their respective customers by working with third party vendors. It is vital to note that any threat to your vendor’s cybersecurity is a threat to your own enterprises as well. Hence third-party vendor risk management is of utmost important component of any successful data management in the financial services providing companies.

Trend # 6: Customer-centric approach – Personalization is one of the popular trends in the financial services industry as customers now expect a tailored recommendation based on their unique needs and requirements. With the use of data governance strategy, enterprises are always embracing new and innovative ways to meet the customer’s choice wherever they are and ensure that superabundant amounts of data are well protected.

[ittarget]

Steps to Start Your Data Governance Program are 1. Identify Leadership, 2. Create a Plan ,3. Evaluate Existing Data Governance Components, 4.Determine the Right Level of Data Governance, 5. Identify Functions and Processes , 6.Identify the People , 7.Create a Roadmap and 8. Roll-out and Sustain

Successful Data Governance Implementation with the Right Data Insights Platform

Data is the most happening asset that impacts the business operations in any enterprise. Today data is regarded as one of the critical assets and there are a plethora of strategies available to extract the value from these assets to gain a competitive advantage. Insights that are derived from the data are used to solve complex business problems. It is vital to understand where the data came from, how old the data is, the quality of the data, where to find and how best to use it, and how far you can trust the data. You can answer all these types of questions once governance policies and data owners state the usage and also the metrics to understand the data quality. In simple terms, it is all about the orchestration of technology, processes, and people that enables an enterprise to initiate data as an enterprise asset.

The data must be scored, cataloged, and defined so the users can view them as assets, understand what they are all about and make the best use of them.

There are a plethora of benefits of data governance plan risk mitigation, greater consistency quality of data, time efficiency. Some enterprises have a data governance framework that, the data governance process which is critical for success. Some of the internal departments or a concerned set of individuals are responsible and others that have cross-disciplinary teams are responsible for governance.

There is a difference between data ownership and data governance. The data ownership is performed by a team that focuses on the secure storage and integrity of the data. Data Governance is more concerned with how data is shared, maintained, used, and regulated across business processes and functions.

Enterprises are transforming by understanding organizational data by the business users among different departments together with collaborative data and leverage to derive actionable insights. It is vital for the different departments to successfully collaborate on the efforts of data management. The responsibility for preparing and managing data for everyone across an enterprise default to the IT resources. This type of scenario leads to confusion among the businesses that are often left confused when the IT team uses technical languages to describe the data assets in which they attempt to translate high technical vocabulary into business terms.

The data can be treated as valuable as an asset, as the business users can understand the information and transform it into insights. By implementing a detailed enterprise data governance model, it is vital for fostering collaboration between Information Technology and business.

Collaboration starts when we initiate providing clear definitions and business terms in the enterprise through data catalogs, data dictionaries, and business glossaries. Data usage, data lineage, and data source can be clearly defined.

By providing easy-to-use interfaces, simple navigation, effective visualizations, and also collaborative communication between different business departments and IT. The challenge of reliability, flexibility, speed, and the most important is the control.

Experience the collaboration between executives, technical users, and business users with the help of the Amurta Data Insights platform which is an exclusive Data Governance Tool designed for medium to large enterprises with complex data pipelines. Now simplifying the enterprise data governance is made simple.

Let us now understand the 5 steps for implementation of Data Governance

Step 1: Assessment – By understanding who has created, approved, and who is using the data, the purpose, relevance of whom they are using, and who owns the processes? By answering all these questions you can collaborate all the existing reports in a better way. By identifying any scope for improvements that need to be made will enable us to create more effective strategies.

Step 2: Identify Challenges and Risks – Identify the issues and challenges associated with the current sources of data and share them across different departments. Spot the gaps to protect your data regarding compliance and security and make use of the right people, technology, and processes.

Step 3: Data Controls – To optimize your data quality and integrity it is vital to establish relevant metrics, control and develop the report processes. Establishing mechanisms will help to identify, prioritize and resolve the data-related issues. It is important to make sure that the right experts are involved in importing, documenting, and implementing the appropriate data controls.

Step 4. Develop a Data Governance Strategy – After placing the right people effectively and having assessed your current situation, it’s time to create rules around your data and decide regarding the updating technology to make better integration and road map. Data should have clear standards such as how and where it should be stored, managed, enhanced, and leveraged. By employing a data steward and a team that helps in processes and leverage the right Data Insights Platform for your organization.

Step 5. Implementing policies and standards – This is the final step that includes implementing policies and standards with clear communication of roles and responsibilities By following all these 5 steps you can make the implementation of Data Governance more successful and make your business become a more data-driven business

[ittarget]

4 Important Stages of IoT Prototyping - Avench - emphasis on embedded

4 Important Stages of IoT Prototyping IoT Prototyping is the first step to build an IoT product. An ideal prototype consists of: Hardware device User interface such as web frontend or smartphone app Backend software which implements logic of the business Connectivity The Internet of Things is going to manage our homes, production units, offices […]

4 Important Stages of IoT Prototyping

IoT Prototyping is the first step to build an IoT product. An ideal prototype consists of:

Hardware device

User interface such as web frontend or smartphone app

Backend software which implements logic of the business

Connectivity

The Internet of Things is going to manage our homes, production units, offices and many other processes. To avoid any type of risk of failure while building a new product, businesses begin by process of prototyping. However, prototyping an IoT product is different from the actual prototyping process.

Confusion to be avoided– IoT prototype products are quite complex as the hardware that you use to prototype is not what you actually use in mass-producing IoT products. There will be many third-party integrations that have to be considered as the software is complex.

Building your own components -As there isn’t a defined road map to follow, you have to focus on paving your own way and innovations. One can’t solely rely on pre-existing architectures or libraries as developers will need to start from the scratch.However pre-built components will be available as the IoT industry grows.

Long term feedback loops and testing cycles – It is easy and simple to push the software to beta users and get feedback for any web or mobile applications. IoT products include a hardware and software layer, that needs to ship and deliver physical devices to your beta group. Furthermore, it is vital to provide detailed set up and user instructions as consumers aren’t familiar with IoT technologies. Generally, the testing and feedback is complex and longer when compared to traditional software products.

The 4 key stages of IoT Prototyping:

Choose the toughest problem first: It is vital to prepare your strategy with regard to your product risks when prototyping your IoT product. If you are not sure about a device compatibility, that’s the task you should first focus on. This will help you make important decisions beforehand rather than spending months into the development cycle and ending up with a faulty product.

Effective research & development: After understanding about the problems to be addressed in your prototype, you have to discover which technologies you are going to use to create the product, and this is just like an experimentation. In the process of your research, you will discover what technologies won’t work for a product.

Start building: After figuring out the main problems you intend to solve and which type of technologies to use, you can start building. This is one of the critical stages of the prototyping process. The main focus is to start building early and power through the gap.

Enhancing your product: Once your IoT prototype is up and functioning, start fixing the other remaining issues. The bugs might be hardware or software related. Some features may take longer time than expected; user interface may need tweaking and hardware may need improvement.

[ittarget]

The Importance of IoT Device Life-Cycle Management - Avench - emphasis on embedded

The Importance of IoT Device Life-Cycle Management The Internet of Things helps to increase the efficiency of the business and contributes to creating new innovative business models. With the real time data that is collected by devices, you will not only derive valuable insights but also fulfill their complete maintenance management remotely and automatically. Surprisingly […]

The Importance of IoT Device Life-Cycle Management

The Internet of Things helps to increase the efficiency of the business and contributes to creating new innovative business models. With the real time data that is collected by devices, you will not only derive valuable insights but also fulfill their complete maintenance management remotely and automatically.

Surprisingly the connected devices are more than humans on this planet and this trend is expected to grow more and more. An ideal brownfield IoT device is expected to remain operational for many years without any need for replacement, which may or may not be designed for connectivity. This type of change needs a mechanism that enables you to deploy field devices that can be used remotely. One of the biggest concerns in the connected device network is the protection of device data.

IoT Device Lifecycle Management solutions/remote device management solutions are vital for IoT-based enterprises to meet the expectations of their end user with regard to service reliability. Managing devices remotely improves employee productivity as well as asset utilization and helps to reduce the services cost by improving customer satisfaction; reduces operational cost and enables product companies to scale at greater speeds.

Why do you need IoT Device Lifecycle Management?

Devices Health – IoT device lifecycle management platforms enable you to  track, secure,  manage and sustain all your devices. The device lifecycle management’s dashboard can be accessed from any location allowing devices to be decommissioned, managed and provisioned in real time.

Improve Productivity – It helps in effective asset utilization that enables employees to focus on core tasks and this helps in improving productivity of the enterprise.

Reduce Downtime – Device management helps to monitor any bugs and errors and fix them in real time and this helps in improving service reliability and minimizing device downtime.

Stay Updated – Device lifecycle management helps you to remotely configure and upgrade devices by managing the increasing device uptime. It gives you flexibility to effectively manage on field devices from any location.

Focus on Customer Reliability – It helps you to reduce time in resolving tickets and provide outstanding customer service. Better customer service enables us to build trust and reliability.

Data Feedback – As devices generate huge tons of data, device lifecycle management can provide individual performance of each device and analysis.

Let us now understand the Key Benefits of IoT Device Lifecycle Management

Multiple Device Support – IoT device management helps interfacing of multiple devices that enables a remote-controlled network.

Cost Saving – Reduction in support and operation costs through remote device maintenance and software upgrades.

Device and Communication Security – IoT device management includes layered security system which is hardware, software and data security.

Multiple Connection Protocol- It provides a wide range of connection interoperability and protocols standards such as BLE, Z-wave, ZigBee, Bluetooth etc for sensor connectivity.

[ittarget]

Importance of Firmware Over the Air (FOTA) - Avench - emphasis on embedded

Importance of Firmware Over the Air (FOTA) Globally companies need flexible, efficient, and secure ways to manage IoT devices. Though there are mechanisms in IoT platforms that are used to manage devices, successful enterprises usually choose a device management protocol that helps in solving challenges. In device management the mechanism is the Firmware Over-The-Air (FOTA) […]

Importance of Firmware Over the Air (FOTA)

Globally companies need flexible, efficient, and secure ways to manage IoT devices. Though there are mechanisms in IoT platforms that are used to manage devices, successful enterprises usually choose a device management protocol that helps in solving challenges. In device management the mechanism is the Firmware Over-The-Air (FOTA) update. This technology helps operators to seamlessly and remotely perform upgrades of the respective devices’ firmware versions which will enable them to fix bugs, be secure and add new functionalities if any. Firmware Over-The-Air (FOTA) is a vital feature supported by some network technologies. It helps in removing the need for computers or third-party program cables and helps to add features to the device.

Firmware Over-The-Air (FOTA) and its basic function help in remote updating of IoT enabled devices and machines by the concerned operator. The update helps in effective operation of the device and runs in the background which does not require any type of intervention of the end-user. By considering the average connection speed and the common size of a firmware file, the process of downloading all these updates over the air will not exceed ten minutes.

Firmware updates play a vital role in upgrading the devices adding new functionalities, fixing any issues, and configuration settings. The poor design of the firmware is a common vulnerability in internet-connected devices. Storing credentials or putting backdoors in the devices in an insecure manner can lead to hacking of IoT devices. It is vital to note that for developing a secure firmware package, the security guidelines are most commonly out of the scope of device management protocol specifications. One of the biggest responsibilities of the device manufacturer is to provide well-designed software and devices.

With the use of FOTA technology, service providers globally are able to effortlessly and seamlessly keep their devices secure and up to date. Firmware Over-the-Air is very useful to IoT systems, who have a huge number of connected devices that require updates frequently. Furthermore, it makes it simple and easy to release new updates in phases and this helps to scale operations and receive the latest updates automatically.

Benefits of FOTA from the manufacturer's perspective.

Manufacturer achieves the ability to remain compliant with the present as well as evolving industry standards. This helps in expanding product lifetime.

It helps to recall costs/reduce warranty by eliminating service center visits or any type of customer care calls for the IoT devices. By executing new updates swiftly, it helps in reducing complexity and costs.

Issues can be resolved remotely, and technicians can avoid traveling on-site to fix any type of bugs or problems.

By shortening the time taken to upgrade installations, FOTA offers the benefits of speed. Furthermore, at the same time you can upgrade multiple devices.