E-Book: Unlock Big Data Value

whitePaper | October 6, 2022

Effective data analytics provides enormous business value for many organizations. As ever-greater amounts of diverse data become available, analytics can provide even more value.

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

whitePaper | September 12, 2022

Clinical Data Management (CDM) evolved over the last two decades from managing data entered on paper Case Report Forms (CRFs) to managing data transcribed into Electronic Data Capture (EDC) systems. The Society for Clinical Data Management (SCDM) strongly contributed to this first significant CDM evolution through its Good Clinical Data Management Practice 1 (GCDMP©) Chapters first published in 2000 and its certification program for Clinical Data Managers2 subsequently released in 2004.

whitePaper | December 5, 2022

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.