8 Problems of Keyword Search in E-Discovery - A Guide for Fortune 1000 Companies by FTI Technology
December 18, 2009 - (Free Research) With data collections growing at an epic pace, legal teams must sift quickly through documents and e-mail at rates that would have seemed unrealistic just 5 years ago. Simply put, keyword search strategies break when thrown against the mountains of data which define today’s legal matters.
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Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
June 2008 - (Free Research) Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
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Populating a Data Quality Scorecard with Relevant Metrics by DataFlux Corporation
June 2008 - (Free Research) Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
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Agile Development: A Manager's Roadmap for Success by VersionOne Inc.
September 2008 - (Free Research) This white paper presents the key characteristics of successful agile managers as they introduce and scale agile methods. Learn what agile managers can do to help their teams and organizations adopt agile development practices to deliver real...
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Qos: What Is It? Why Do We Need It? by Global Knowledge
December 2008 - (Free Research) QoS can be used in converged networks to provide voice packets priority access to resources, or it can be used to differentiate data packets from different application stream and provide access to resources according to policy.
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Effective Data Quality Program Management: Tips and Advice by DataFlux Corporation
January 2010 - (Free Research) In this 12 minute podcast, get expert advice for successfully leading data quality management initiatives. Find out more about data quality program planning, required skill sets and common challenges.
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Developing A Universal Approach To Cleansing Customer And Product Data by SAP America, Inc.
June 2009 - (Free Research) Data quality has always been an important issue for companies, and this
is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
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Understanding How Technology Can Support Manufacturing Quality by Apriso Corporation
November 2009 - (Free Research) In this expert podcast, industry analyst Simon Jacobson discusses the best starting point for a quality improvement initiative within a manufacturing plant, explores what types of software and technology can be used for support, explains why the IT team plays a key role in its success, offers tips on how to reduce error rates, and more.
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Top 10 Reasons Customers Choose SAP for Business Transformation by SAP America, Inc.
January 2006 - (Free Research) SAP is a customer’s company, whose organization is designed for, and encouraging of, innovation in all its aspects - from product development to product delivery to product implementation. Read this white paper to discover the top 10 reasons why customers choose SAP for their business transformation.
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ITIL® v3: What It Is and Why You Should Care by Global Knowledge
October 2008 - (Free Research) This paper explains ITIL by describing its benefits, where it comes from, why you need to know about it, which types of IT organization can benefit from using it, and how to get started.
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How to Accelerate your SOA with Real-time Data Integration by Oracle Corporation
April 2010 - (Free Research) How can you better manage the deluge of business information? This webcast demonstrates that by leveraging best practices in Service Oriented Architecture (SOA) in combination with a comprehensive data integration approach, companies can lower costs through consolidation, reduce the risk of bad data polluting their applications, and more.
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Test Management Tools and Techniques by Hewlett-Packard Company
August 2008 - (Free Research) This paper explores the challenges and rewards of test management and provides practical ways to help you implement an organized and structured testing process. It also discusses the benefits of HP Quality Center software.
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A Guide to the Value of Reliable Data in Insurance by DataFlux Corporation
November 2009 - (Free Research) Only when data is trusted can it be used in confidence in all insurance operational and analytical process activities. This paper examines the impact of unreliable data on insurance companies. It then defines the requirements needed to guarantee data reliability in insurance and offers a practical approach to creating and governing that data.
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Infor - ERP LN by Infor
September 2008 - (Free Research) Infor ERP LN is an advanced, easy-to-use ERP solution that brings together a wide range of business functions to serve the needs of leading discrete and project-based manufacturers in industrial industries. Check out this demo for more details.
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Oracle Database 11g for Data Warehousing and Business Intelligence by Oracle Corporation
October 2007 - (Free Research) This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
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Service Portfolio Management: Manage IT For Business Value by CA
October 2009 - (Free Research) Read this paper to learn how Service Portfolio Management can be implemented to achieve and show evidence of improved business satisfaction, reduced waste, reduced cost, and enhanced service quality. IT can better select strategic investments and maximize business value.
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Dealing with Chaos: 4 Steps to Manufacturing Success by Infor
September 2008 - (Free Research) Manufacturers must be prepared to recognize impending change as early as possible, assess the potential impact, determine the optimum strategy for dealing with the change, and implement that strategy in the most effective way possible. In this white paper you'll learn 4 steps toward developing chaos-tolerant business processes.
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