Stelo Blog

Strategies for Futureproofing Data Management

With outdated systems, companies risk reaching the limits of their data analysis capabilities, and they have a much harder time responding to dynamic market conditions, delivering innovative products and services, and maintaining customer satisfaction. In data management, futureproofing means establishing a system with agile architecture and loosely coupled software components. In short, futureproofing means anticipating change.

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Here are a few key opportunities to help you anticipate change through reliability and versatility:

  • Avoid Vendor Lock-In
    Vendor lock-in is a product of inaction. It happens when an enterprise sticks with a product or service designed by one vendor, regardless of quality, because it’s difficult or not financially viable to change partners. By minimizing competition, vendors can increase costs and de-prioritize innovation.

  • Embrace Open-Standards Technology
    Open standards are additive by design. For example, Hadoop and MongoDB are displacing proprietary storage systems from IBM, Microsoft, and Oracle. Similarly, delta lakes are a product of earlier innovations in file systems. Open standards encourage innovation and promote longevity by accommodating vendor agnostic approaches.

  • Seek Vendor-Supported Compatibility
    A collaborative data replication partner accommodates the evolution of data management strategy with flexible options for connecting open-standard and proprietary technologies.

  • Consider Elastic Storage Repositories Like Delta Lakes
    For greater efficiency, enterprises are moving away from databases and adopting data repositories that are inherently self-defining.

For additional detail on each of these strategies, read our white paper "How to Futureproof Data Management Strategy to Prioritize Change Data".

 In this white paper, we’ll cover:

  • The importance of futureproofing your data ecosystem

  • Key opportunities to build reliability and versatility into your data management strategy

  • Data management and data messaging structure options that accommodate new tools and technologies