discovery methods

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By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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     SAS
By: Code42     Published Date: Jan 13, 2016
Read this white paper to learn how the common approaches to e-Discovery miss the mark and how endpoint backup can streamline the collection and preservation of electronically stored information.
Tags : code42, e-discovery, endpoint backup, e-discovery methods, data collection, compliance requirements, security, it management, knowledge management, enterprise applications
     Code42
By: Mimosa Systems     Published Date: Jan 14, 2009
This white paper will present an improved approach to legal discovery for Microsoft® Exchange systems provided by Mimosa Systems. Unlike existing methods for legal discovery of Exchange Server data, Mimosa’s approach delivers major advances in performance and granularity of information. To begin this paper, we will review the industry forces that are driving the need to manage email for legal discovery, followed by a discussion of the market-leading enterprise messaging application—Microsoft Exchange Server and the challenges it presents for legal discovery.
Tags : mimosa systems, microsoft exchange systems, legal discovery, email for legal discovery, platforms, storage
     Mimosa Systems
By: IBM     Published Date: Feb 05, 2014
Companies increasingly rely on IT discovery to provide a complete picture of the infrastructure for IT optimization and migration initiatives. But current methods are costly, and they can take too long to deliver results. ALDM (analytics for logical dependency mapping), a new service from IBM Research, is changing all of that. In this interview, Larry Thompson, IBM offering development executive, explains how ALDM reengineers IT discovery with analytics, automation and cloud computing technologies and delivers a more complete and accurate view of your IT environment. Listen to the full 8-minute podcast interview or read the two-page encapsulated version to learn how ALDM is lowering the cost of IT discovery while speeding results.
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     IBM
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