AnzoGraph for Scientific Data Discovery
Biopharmas are facing a data deluge, with vast amounts of disparate data generated along the R&D pipeline. In this Use Case, AnzoGraph is used as a part of the Anzo solution to create a Semantic Layer to understand the meaning and relationships of all the data and enables scientists to answer scientific and business questions.
Financial Services Case Study
In this case study we discuss how a Financial Services leader selected Anzo® to launch an enterprise-wide data harmonization initiative to provide ad hoc data exploration and discovery, while eliminating costly data silos and redundant processes. Download this case study to learn more.
Scientific Discovery for Biopharma
Biopharma companies are facing a data deluge, with vast amounts of disparate data in different formats generated along the R&D pipeline. Anzo® automatically creates a Semantic Layer that understands the meaning and relationships of all the data in any format, and enables rapid, on-demand access to answer scientific and business questions.
Safety and Pharmacovigilance
The realm of Pharmacovigilance (PV), the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem is driven by data. Anzo enables rapid, on-demand, self-service access to comprehensive adverse events reports and data to meet regulatory reporting requirements and to answer outcomes and treatment questions.
Digital Patient Health Case Study
Download this Case Study to learn how a global pharmaceutical company achieved a scientific breakthrough in the highly competitive area of an unmet medical need and was quickly amassing clinical and biomarker data across multiple indications in a therapeutic area.
Anzo Clinical Data Standards Management
Learn how Anzo® helped a leading global pharmaceutical company that was struggling to comply with federal and international mandates for clinical data standards. This industry leader is addressing these shortcomings with Anzo, implemented in less than five months, four times faster than the previous approach.