Key Considerations for Analytic Solutions for Life Sciences

From pharmaceuticals to global health to the environment, twenty-first century life sciences companies are transforming into data-driven life sciences companies, leveraging vast amounts (and new forms) of data.

A strong emphasis on analytics and data discovery for new insights is introducing challenges in how data is leveraged into the fabric of life sciences organizations. Today’s analytic challenges for life sciences companies, then, can be separated into three distinct categories: the integration challenge, the management challenge, and the discovery challenge. However, the answer to these challenges isn’t the development of new tools or technologies, but instead that life sciences companies should turn to collaborative and transformative solutions that already exist.

Download this white paper to see how embracing a data unification strategy through the adoption and continued refinement and governance of a semantic layer to enable agility, access, and virtual federation of data, as well as by incorporating solutions that take advantage of scalable, cloud-based technologies that provide advanced analytic and discovery capabilities — including visualization — life sciences companies can continue to become even more data-capable organizations.

Fill out the download form and then watch your email for a link to download the white paper!

Sponsored By Birst


To learn more about Birst and how it is helping life sciences organizations to think fast, visit

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Radiant Advisors is a leading strategic research and advisory firm that delivers innovative, cutting-edge research and thought-leadership to transform today's organizations into tomorrow's data-driven industry leaders.