Quality and Value in the Management of Unstructured Information: Tools Based on Semantic Analysis

  • Source: IDC
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Information chaos is one of the primary sources of inefficiency and waste for knowledge workers. So how do you improve efficiency and make more informed decisions? There’s a new direction in content management policy that can help: semantics-based search tools that go beyond just the “find” function, to search, categorize, analyze, and extract meaningful information from unstructured data and texts.

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Safe and Reliable Asset Management in Nuclear Power Plants

  • Source: IFS
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This white paper presents an overview of IFS Applications for asset management of nuclear power plants, including corrective, preventive, and condition-based maintenance functionality for safe work management in a hazardous environment. Also included are asset lifecycle management tools to track changes to the assets that affect operational limits and conditions (OLCs). Read More

Must-have ERP Features for the Automotive Industry

This paper summarizes the benefits an enterprise resource planning (ERP) solution provides to the entire manufacturing process, "from shop floor to top floor." Included are key features in a software as a service (SaaS) solution to help an auto manufacturer optimize performance throughout the enterprise. Read More

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Automating Stimulus Fund Reporting

  • Source: SAP
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Tracking and reporting stimulus fund spending are difficult tasks for chief information officers (CIOs). The US government’s accountability demands are forcing organizations that are spending American Recovery and Reinvestment Act (ARRA) funds to analyze floods of data. Discover how automated ARRA reporting systems can help you comply with reporting requirements without excessive labor costs or data management headaches. Read More

Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge

  • Source: SAP
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With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization

Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how. Read More
 
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