Realizing the Benefits of Data Modernization

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Have your databases outlived their usefulness? Many large enterprises, especially those in finance and banking, are finding that their VSAM, ISAM, IDMS, and IMS databases can no longer meet the demands of mobile, cloud computing, big data, gamification, and social media. These companies need to move data from legacy mainframes to modern databases: data modernization.

Here are the three main drivers of data modernization:

  1. 1The cost of maintaining legacy databases (running into the millions for some companies)
  2. 2A need for faster access to data with seamless integration to other systems
  3. 3The struggle to find IT personnel with the skills to maintain legacy databases

Of course, there can be significant challenges to data modernization projects. They include:

  • A lack of documentation of the business rules in the legacy code
  • A need for a phased approach that poses technical challenges (e.g., data redundancy)
  • A need to prevent business disruptions during the migration
  • High costs for training on new systems
  • A lack of methodology necessary to conduct such a project

Realizing the Benefits of Data Modernization - NTT DATA Perspective In “Realizing the Benefits of Data Modernization,” I detail the drivers, challenges, and benefits of data modernization, then outline three methods that can be used, depending on a company’s business goals. Finally, I show two scenarios, one showing a move from a mainframe to a modern RDBMS and one from an RDBMS to a newer RDBMS from a different vendor.

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Post Date: 2/29/2016

Prakash Mishra - NTT DATA Prakash Mishra

About the author

Prakash Mishra leads NTT DATA’s Data Architecture and Management Practice. A solutions-driven, results-oriented, self-motivated leader, Prakash has a proven record of extensive data architecture leadership in a complex environment. Prakash has been involved in developing and leading the implementation of traditional and innovative big data strategies and solutions, data modernization and master data management solutions for small to large organizations. He holds a master’s degree in computer science, with two decades of experience specialized in enterprise data architecture and management.