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Unified Unstructured Data Management Platform — The Nemesis of Data Overload

Do more with less!

Data Dynamics’ Unified Unstructured Data Management Platform

A one-stop shop for Data Mobility, Analytics, Security and Compliance

Today, organizations gather more data than ever before, and that data is growing exponentially. With more data, enterprises have innumerable opportunities to scale and grow their businesses. However, these massive amounts of data come with their challenges. There is a flood of new data being generated every second, and managing and storing it is a huge responsibility, especially in the face of constantly evolving regulations. Did you know that 80–90% of data that is generated is unstructured data? To navigate this increasingly challenging landscape, enterprises must anticipate future data needs and embrace emerging technologies to structure their data and gather ultimate insights from it in a secure and governed manner.

In the face of something as large and challenging as dealing with terabytes of unstructured data, it can be tempting to put it off for later. However, if enterprises procrastinate on data management, they risk falling behind their competitors and also spending exorbitant amounts of money impacting their overall profitability. Organizations that prioritize data management usually experience a 5.32% revenue increase and a 162% increase in their chances of outperforming their peers and benefit from lower long-term storage costs.

Data Dynamics’ Unified Unstructured Data Management Platform enables businesses to manage their unstructured data more effectively. The platform encompasses four modules- Data Analytics, Mobility, Security, and Compliance and uses a blend of automation, AI, ML, and blockchain technologies and scales to meet the requirements of global enterprise workloads

For more details visit: https://www.datadynamicsinc.com/

#data mobility #data management #unstructured data management #security

Six Key Steps towards a Successful Data Migration Strategy

Many organizations are moving to data-driven strategies to drive innovation and save on costs. According to the New Vantage survey, 99% of firms have invested in data initiatives, and 92% reported that the pace of investment is accelerating.

Data innovation works hand in hand with digital transformation and cloud migration. The pandemic has given the much-needed push to accelerate this innovation, and organizations are moving away from their legacy systems to a hybrid cloud environment to ensure business continuity in these digital times.

Why do we need a data migration strategy?

Imagine: You are shifting to a new house. Your paperwork is done, and you are ready to move. You have to pack and move your belongings. But you have accumulated a lot of stuff, most of which you don’t even need. It will take a lot of time to pack, move, unpack, and set this stuff. Also, it will add to the cost. Instead, you can avoid overpaying the vendor if you sort your stuff before moving. This analogy is a simple example of how we should view our data migration strategy. Data migration is complex and can be very time-consuming while adding overheads if not planned out in advance. According to Forbes’s recent research, only 36% of data migration projects meet the forecasted budget, and only 46% were delivered on time. That’s a dismal success rate.

Organizations can run over budget and add enormous data processes if they move to the new system but don’t have an efficient data migration plan. It is imperative to plan in advance the right data migration strategy that covers a systematic migration approach and ensures successful data mobility, analytics, security, and compliance.

Sometimes, the data migration process can encourage a cultural shift in the organization, especially if the data is moved from a legacy system to a hybrid or cloud-first environment. Organizations must embrace a more modern, agile management approach in such a situation. Even if the data is migrated from one repository to another, from a data warehouse to data lakes, or from on-premises to the cloud, it requires a systematic data migration strategy.

An incremental approach can be applied to this complex data migration process, breaking it into phases and small achievable action items. These six key steps build a sound data migration strategy that can seamlessly help an organization achieve its migration goals.

Six Key Steps in a Data Migration Strategy

A standard data migration strategy that can be commonly applied to all organizations and can be further modified to fit the requirements of each individual organization is:

1. Evaluate

Rigorous data evaluation is the first stage of a successful data migration strategy. This involves realizing the data source, mapping the need for migration, its dependencies, formats, and destination of the data to be transferred. This becomes a deciding phase to set the groundwork of the migration process while identifying and mitigating the associated risks.

2. Design

A define and design phase makes sure the migration plan is sketched out in detail. This phase decides the type of migration, approach of migration, parameters to consider, best practices to follow, identification of future challenges and mapping down the solutions, defining timelines of the project, and estimating the costs.

3. Build

The next crucial stage is to devise a ‘build and test plan’ for breaking down the extensive migration process into small subsets to build and test in parallel.

4. Test

The test process is restricted to the build and test phase, where the code is tested. It ensures testing the entire data migration design where actual data is tested to ensure the strategy’s correctness.

5. Implementation

After completing the testing phase, the data migration process can be implemented as per the planned design and style. Before implementing the strategy, one crucial factor to consider is the quality of the data to avoid contamination of the destination system.

6. Audit

After successfully implementing the planned system, a system audit is needed to check the accuracy of the data migration.

One crucial factor in the implementation phase is ensuring the right data quality is migrated to the cloud to avoid contaminating the system and ensuring data integrity. To help simplify data quality management and your data migration journey, a strategic approach can help. A Strategic Approach to Ensure Data Quality for Efficient Migration

According to a recent report from MIT’s Sloan School of Management, data quality is paramount be in pre or post-migration. One way to stay on top of these concerns is to have a sound data quality management plan in place before migrating your sensitive data.

Step one is to validate data quality management policies and standards to understand how the data is handled.

Step two is to address gaps even before they arise, as inconsistency is one of the major concerns for data loss.

Step three is to realize the quality status of all the existing data in the data pool for its completeness and consistency.

Step four is to devise a standard and automated data quality management strategy that can be applied to any data in the future in an enterprise

Step five filters data for duplications and extracts only clean, up-to-date, and authentic data for the migration process.

The data migration process is not a one-time process but a journey. Any organization looking to implement a data migration strategy for their business can implement the approach mentioned above to start their journey. In case you are looking for a unified and intelligent cloud migration solution, Data Dynamics, in collaboration with Microsoft Azure, brings you a simplified zero license cost data migration plan.

Azure is sponsoring the use of Data Dynamics StorageX Migrations at no additional licensing cost. StorageX is Data Dynamics’ leading unstructured data management solution that delivers policy-based data management with no vendor lock-in. StorageX, when used in conjunction with Data Dynamics’ unified data management platform, can help enterprises unlock end-to-end data management capabilities such as data analytics, security, and compliance.

You can read all about it here. You can also email us at [email protected] for further details.

Reference:- 10 Reasons Why Your Organization Still Isn’t Data-Driven (forbes.com)

Overcoming The Challenges Of Data Migration (forbes.com)

#Hybrid Cloud #data mobility #compliance #cloud migration solution

Data Dynamics has introduced the Unstructured Data Migration Factory to aggressively combat the costs, project lengths, and complexity of enterprise data migration. There are 5 key capabilities of the Migration Factory powered by StorageX

#data mobility #mobility #analytics

Unstructured Data Migration “Factory” Powered by StorageX® Deliver Just in Time with Enterprise Grade Performance and Quality File data migration projects have become increasingly difficult as storage capacity, protocols, and the cloud have exploded on the unstructured world. In recent years, a project-based approach with home grown scripts or ‘free-ware’ could manage a 50

#data mobility #mobility #analytics

Achieve Hybrid Cloud File Management with StorageX® Adopt Hybrid Cloud with Confidence Hybrid cloud storage solutions are evolving to leverage cloud infrastructure and platform services. These solutions enable enterprises to deliver agility, mobility, resiliency, and operational efficiency for on-premise, edge, and public cloud deployments. StorageX is a unified solution for hybrid cloud management.

Originally published at https://www.datadynamicsinc.com on March 13, 2022.

#data mobility #analytics

Read More Here: https://www.datadynamicsinc.com/solutions-brief-achieve-hybrid-cloud-file-management-with-storagex/

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