Charting an Effective Big Data Strategy

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In their excitement to use big data to solve problems in new ways, many life sciences companies hastily search for the latest technologies promising to propel their insights to the next level. But once these technology components have been integrated, project leaders often realize that the organization’s expectations and outputs are misaligned.

To avoid lackluster analytics investments, companies should start by considering how the resulting insights will be used, as well as who will have access to what data and insights, how the data and analytics processes can remain agile, how it will be properly governed to preserve the data’s integrity, and how it will improve the organization’s business operations now and in the future.

In this article, ZS experts discuss:

  • Why it’s important to establish a clear plan for how a big data solution will be used before investing in technology
  • Five key elements to consider before undergoing a data transformation
  • How Amgen abandoned its technology-first approach during a recent data infrastructure transformation