Business Logistics White Papers
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Computer Weekly – 17 October 2017: Microsoft CEO Satya Nadella on empathy and innovation
Sponsored by: TechTarget ComputerWeekly.comIn this week's Computer Weekly, Microsoft CEO Satya Nadella explains why he has made empathy a key part of technology innovation. We examine the latest news in the ongoing debate over the tax status of IT contractors in the public sector. And we ask if an emphasis on creativity will help attract more young people to work in IT. Read the issue now.
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Operational Logistics/Resource Allocation: The World's Best Business Intelligence Applications
Sponsored by: Information BuildersThis paper highlights several real-world success stories, where a proactive approach to resource allocation was implemented.
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Introduction to Business Rules: Taking Advantage of Business Rules Management Systems
Sponsored by: IBMBusiness users sometimes try to control and manage business rules without directly having to deal with IT, which isn’t always successful. Using an example from the insurance industry, this article provides an introduction to business rules and the importance of Business Rules Management Systems (BRMS) in bridging the gap between business and IT.
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Presentation Transcript: Enabling Total Spend Analysis in the Enterprise
Sponsored by: TIBCO Spotfire DivisionIn this transcript of the webcast, TIBCO Spotfire's John Callan will discuss how you can perform Total Spend Analysis to help drive supplier consolidation, contract compliance and identify maverick spend in a user-friendly, visual analysis environment.
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7 Ways Shop Floor Execution (SFX) Can Help with Lean Manufacturing and Complement ERP Systems
Sponsored by: Casco Development, Inc.Lean manufacturing is a philosophy committed to the total elimination of waste. There are seven types of waste that plague manufacturing. Shop Floor Execution (SFX) can help minimize or eliminate all of them.
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IBM Information Server FastTrack
Sponsored by: IBMThis white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.