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Amurta Data Insights Platform  

Learn about Amurta Data Insights Platform which is an exclusive Data Governance Tool specially designed for medium to large enterprises with complex data pipelines and which helps in turning raw data into actionable insights.

[amurtadatainsightsplatform]

Amurta Data Insights Platform  

Learn about Amurta Data Insights Platform which is an exclusive Data Governance Tool specially designed for medium to large enterprises with complex data pipelines and which helps in turning raw data into actionable insights.

[amurtadatainsightsplatform]

MDM is the most ideal solution for all your data problems. Data Quality, Lack of Data Governance and Data Replication are some Challenges faced in Master Data Management. Improved Return on your Investment, Better Data Compliance, Faster Turn Around, Better Customer Service and De-Duplicated Master Data are some benefits of MDM.

Master Data Management is linking all the important elements of an Entity (customer, product, vendor, location, etc.) Data of an enterprise to a single point of Reference. MDM helps to make the business processes less redundant and also contributes to reduced errors.

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An Ideal Data Governance Policy includes building a process model for managing the enterprise data. For any successful Data Governance in any enterprise both IT and business departments should collaborate with equal responsibility and create value from the Data Assets and processes.

Data Governance Policy consists of a document with a set of guidelines to ensure that an enterprise information and data assets are managed consistently. The Data Governance Policy contains the practices, principles and standards that the leaders of that particular Enterprise have determined to ensure that they protect and have high quality data.

The policy document clearly defines the structure of the Data Governance for the team of the enterprise that will help in their daily operations. One of the main purposes of the Data Governance Policy is that the management and data processing should ensure the enterprise data is consistent, accessible, accurate and protected.

Why do we need Data Governance Policy?

An Ideal Data Governance Policy includes building a process model for managing the enterprise data. For any successful Data Governance in any enterprise both IT and business departments should collaborate with equal responsibility and create value from the Data Assets and processes. Data Governance Policy brings benefits to an enterprise by

Defining and assessment

Strategizing and Planning

Designing & Implementation

Monitoring.

Data Governance Policy aims and  addresses the structure related to Data Governance, and also includes policies on Data integrity, Data access, Data usage and Data integration.

Why is Data Governance Policy Important ?

Data Governance Policies are guidelines that help your data and information assets be used  efficiently and properly. The guidelines include policies related to security, privacy, quality and access. Data Governance Policy also includes how data will be controlled and managed. Lets focus on common areas covered by Data Governance Policy

Data Availability – For a Successful Data Governance Policy, one has to ensure that Data is available and easy to consume by the Enterprises.

Data Quality – Data is consistent, correct which will not create any problem while usage and analysis.

Data Usability – Data is documented, structured, labeled which also helps in easy retrieval and search and it is very useful with the tools.

Data Integrity – One has to ensure Data should retain its innate quality even if it is a converted, transferred, stored and viewed across different platforms.

Data Security -To Define standard processes and prevent any data leakage and loss.

Data Governance policies are guidelines that help your data and assets be used efficiently and properly. The guidelines include policies related to security, privacy, quality and access.  Just like any other assets, Data is the utmost important asset in the era of Information Technology and it requires consistent and strong management. To avoid data quality issues such as conflicting information, lower quality data etc Data Governance Policy has to be implemented.

Quick Benefits of a Successful Data Governance Policy.

Collaboration

Appropriate usage of the Information

Helps to meet Regulatory Compliance

Sound Decision Making

To explore more, you can request a demo by just filling out an enquiry form. To know more information and for any queries please feel free to contact  us at  [phone] and you can email us at [email protected], we will be happy to assist you.

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The process of Data Governance is constantly evolving and paving the way for data-driven enterprises Globally.

Data Governance

can be defined as the efficient management of the data for validation and accuracy as per the standards, requirements or rules as per the Enterprise. Undoubtedly, Data is one of the most important assets that organizations have. Enterprises that are growing rapidly produce tons of day everyday such as adding new customers, clients, vendors, payments, material etc. Raw data may become one of the most important assets of the enterprises if it is refined and understood. It can be used for improved business decisions, reduces risk and also helps in driving competitive advantage. To handle such huge data efficiently, enterprises are empowering their people to use technology and processes to manage their quality of the data.Enterprises should consider following things before implementing any Data Governance strategies.

The first and foremost aspect is data should be accurate and be accessible

The quality of the data paves the successful way and helps to meet the organisational objectives.

A clear definition and an effective data Governance framework

To minimise the risk of bad-quality data

Create rules both for internal and external data use

Adhering to compliance requirements

Focus on value and quality of the information

Traceability and transparency are one of the vital elements that will help us to know where the data came from and through what type of systems and processes it is moved to the organization and how well it can be transformed.

By using strategic procedures and policies of Data Governance, will lead to improved business outcomes which will enable business growth. Data Governance plays an important role in being consistently compliant with different levels of regulatory requirements all these in turn helps to minimize risks and decrease operational and Data management cost.

What should include in your Data Governance Strategy?

Governance Strategy on a broader perspective should include a strong data governance framework.

It should include procedures, rules policies and structure.

It should have a mission statement.

Data Governance Goals should be quantifiable

Guidelines and its details in regard to who is responsible for various aspects of data governance.

One has to make sure no errors or Data inconsistencies

By defining goals, collecting data, interpreting data, analysing data, developing recommendations and taking actions from time to time an ideal Data Governance Team helps you to reach your goal.

Who is included in the Data Governance Team?

Data Manager

Data Governance Architect

Data Strategist

Compliance Manager

Main important aspects to be focused while executing

Data Governance Strategy

to gain actionable insights include

Getting data Governance right from the beginning to prevent loss of time

Right personnel assigned to each task and their definition of their respective responsibilities.

Should cover domains and which parts of the domains does the enterprise need the most.

Iterative working concepts be accelerated by adjusting accordingly.

An effective data governance involves an efficient combination of process, people and technology.

An ideal data governance has to focus on improving data security and will have no unauthorized data access.

Accuracy, consistency and reliability of the data is a challenge and when they are combined with the right tools, enterprises can facilitate a comprehensive and broad understanding of their data.

Benefits of Data Governance.

Enterprises globally are understanding the power of Data Governance as they are realizing making the use of their full potential of their data assets.

Integrating and analyzing data from all data sources ensures collaboration.

Enterprises feel the need to implement a data governance framework that will enable them not only in data understanding but also to set data quality benchmarks to ensure usability, integrity and value of their respective data.

Data Governance helps enterprises to overcome challenges of Data usability, accessibility and quality.

The best way you can communicate to your target customers is through Data in this Context, Data Governance strikes a balance between Technology and human beings and helps to create actionable insights that will ultimately contribute to your business profits.

Data Governance provides the users of the business the data literacy and structure and regardless of the data Environment, Data Governance helps in transforming the data into actionable insights that helps enterprises to take one step further.

To know more information and for any queries please feel free to contact us [phone] and you can email us at [email protected], we will be happy to assist you. You can request a demo to explore Amurta’s Data Insights Platform by just clicking this link

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Learn how our leading Banking Customer realized their vision of Improving their Data Quality & Compliance with Regulatory Requirements.

Improve the data quality along with compliance with regulatory requirements.

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Personal Data Protection Act 2012

Personal Data Protection Act 2012

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Explore how our Master Data Management has helped a leading Retail Customer by providing Omni channel Experience for their Consumers.

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CCPA Use Case

CCPA Use Case

California Consumer Privacy Act

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Discover how we helped a leading Indonesian Bank by providing Data Quality Services.

Create process to validate existing KTP or NPWP. 

Robust validation on information i.e., Province, City, DOB, Gender, etc. 

Assessing the quality of data captured in individual attributes i.e., Name, address, gender, DOB, POB, marital status, NPWP, Driver's license and Passport. 

Knowing the trust index score for the data conversion during the 2011 migration.

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BCBS 239

BCBS 239

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With the increasingly diverse and volume of data, keeping a track of your data becomes vital to make informed decisions. Globally many enterprises collect, generate & process tons of data. Data Governance includes collaboration of people, technologies, process, and policies.

The Data Governance program of any enterprise is tailored based on their needs, requirements, and other factors. There are many representatives of Data Governance such as IT, legal and information departments etc. Every assigned Data Owner is too a member. They are accountable for some of the data within the enterprise.

Initially the requests for any new data are communicated to the team of Data Governance initially. Here in this Stage, the coordination between Data and company’s strategy is linked. The second stage includes the team discussing the need and reaching an agreement. In this Stage, the owner is assigned to the data who is accountable for it. Third stage includes an IT team implements the changes related to the system and maintains it by coordinating with the Data Owners. In the third stage data is accepted only when there is a purpose and there is also an agreement. Finally, the data is managed throughout the life cycle.

Benefits of opting Data Governance

The more the data, the greater the risk. The data you store, have chances of risk and this might be possible due to Data Leakage and Compliance Risk. Within the Data Governance Policy, the Data Owner has some responsibilities. While one is to represent the data to the team of Data Governance, the other is to collaborate with Legal, Information Technology, Information security and compliance to maintain and implement it.

The enterprise after having a complete idea for a process, comes to the Information Technology team to get it implemented. The technology implementations are taken care of by considering more security. Based on the maximum understanding of the Data, information security dictates policies.

Making Higher Return on your investment is well possible through an improved Data Governance Program such as cleaning poor-quality data, reconciling duplicate data and by lesser Data Duplication. Data Standardization ultimately contributes to discussions and decisions to happen. Data Governance helps in ensuring use of the data in each field and it reflects the purpose and process needs and is readily available for analysis, reporting and workflow activities.

Undoubtedly, Data Security is vital in Data Governance and is necessary for continued business innovation. Furthermore, Data Governance enables to bridge the gap between demand and data supply by keeping data compliant with relevant privacy laws.

Overcoming Compliance Risk

Technology Implementation

Data Standardization

Data Security

Amurta’s Data Insights Platform is a Data Governance Tool specially designed for enterprises with complex data pipelines. It simplifies the data of the enterprises by integrating and connecting all your Data Governance Applications such as Data Quality, Reference Data Management, Master Data Management and Data Privacy & Regulatory Compliance.

DIP provides a one-stop solution for organizations’ Data Governance, Data Risk, and Data Compliance Management. To know more information and for any queries please contact [phone] and you can email us at [email protected], we will be happy to assist you.

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APRA CPG 235

APRA CPG 235

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Data Governance can be defined as the efficient management of the data for validation and accuracy as per the standards, requirements or rules as per the Enterprise. Undoubtedly, Data is one of the most important assets that organizations have.

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Holiday Greeting 2020 from Footlogix

Katharin von Gavel, Founder and CEO wishes everyone the best of the holidays!

Katharin von Gavel, Founder and CEO wishes everyone the best of the holidays!

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“Double-Defense” treatment for the feet formulated with Dermal Infusion Technology®. This super hydrating, yet lightweight, unique mousse with Urea is both anti-aging and rejuvenating. It is absorbed immediately, locking moisture into the skin. Containing Spiraleen® it provides anti-microbial properties that relieve skin irritations. This rich mousse revitalizes hydrates and smooths the skin including, but not limited to dry or sensitive skin. Great product for night.

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AI plays a vital role by acting as an enabler for enterprises to leverage data effectively and precisely. AI helps enterprises in identifying cyber threats and, at the same time, empowers them in obtaining data that is appropriate for their requirements.

Data is a critical component for organizations across verticals. But it needs to be regulated by the enterprises so that they can use it effectively and legitimately. For this very reason, you need data governance to ensure that enterprises adhere to policies, procedures and processes. Besides, it also helps enterprises to derive insights from the Data and achieve the results they desire by treating data properly and ethically.