Scientific Business Intelligence™ Solutions: White Paper
Learn how you can improve productivity, decision making, and research efficiency by leveraging an enterprise-enabled, plug-and-play scientific operating platform to unite diverse applications and databases.
Abstract: One of the major challenges facing the scientific and clinical research communities is the inability to access, aggregate and mine scientific data across an enterprise organization. Data remains locked in silos, causing productivity and decision making to suffer, and ultimately impeding an organization's research efficiency. By successfully harnessing disparate data sources and software applications, organizations position themselves to apply their data in an intelligent, focused manner, thereby improving productivity, decision making and research efficiency. However, such efficiencies have eluded many scientific and clinical research organizations because traditional business intelligence (BI) technologies cannot handle advanced scientific data processing and analysis. This lack of a readily available BI solution has forced organizations to make do with vendor-specific solutions, drain in-house development resources by building customized solutions, or struggle with sharing data among incompatible point products. Accelrys' proven history of delivering innovative modeling, simulation and informatics software for life and materials sciences, as well as its open and standards-based scientific operating platform, positions it to deliver scientifically-relevant BI solutions that meet the needs of the scientific and clinical research communities.
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