Everest Group Life Sciences Digital Services Specialists PEAK Matrix® Assessment 2024

Despite generating data an unprecedented rate, many life sciences companies still suffer from a lack of context. They have the data, they just don’t know what it means in the bigger picture. That means missed opportunities and missed revenue. Life sciences companies are now relying on embedded analytics to solve that. Instead of multiple applications, modern analyses can be baked into a single ...

Life sciences companies continually face the question of building or buying their critical data management solutions. Maximizing how far your dollars go and weighing the pros and cons of a build versus buy approach needs constant balance. While custom-built solutions offer the promise of more control, recurring investments create data silos, leading to ever-increasing costs to operate, maintain, ...

In this whitepaper, we aim to provide a process to review and evolve the data strategy for a business unit. This methodology can be extended for reviewing the strategy for multiple business units or even at the organization level. An outcome driven data strategy approach focuses on defining the target state (the outcome) and working backward through the required analysis and data requirements. ...

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse, but to make it cost-efficient, one needs to be aware of some key factors that affect the table sizing and eventually performance. This paper highlights those nuances and also explains how to deal with the smaller datasets in the mix of massive datasets. The factors that affect the performance and sizing of the Redshift ...