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Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
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Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.
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6/1/2009 5:02:00 PM
ERP Modules for Different Business Types
Enterprise resource planning (ERP) is a mature segment of the software market. Most features are standard across solutions, and you can expect vendors to offer software for managing financials, supply chain and inventory, human resources (HR), and business intelligence (BI). Some vendors also offer specialized modules for vertical industries. Use this checklist to find the ERP modules that are right for your organization.
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7/22/2011 2:36:00 PM
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.
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Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.
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The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.
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Sense and Respond
Predictive control, reactive control, and passive insulation enables enterprises to predict and adapt to fluctuations in customer demand. Ultimately, adaptive supply chain networks that exploit innovations to consistently improve efficiency and responsiveness are key to surviving a hyper-competitive environment.
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4/29/2005 9:33:00 AM
Duty of Care Online
Useful reading for any online business, this white paper offers helpful hints for establishing comprehensive duty of care procedures. When setting up an online business, it is important to consider the legal aspects required—most importantly, an adequate privacy policy, and legally binding terms and conditions. Find out more.
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Case Study: Esselte
Office supplies manufacturer Esselte Corporation was the first company to implement Microsoft® Dynamics AX across four continents. About a third of the way through the implementation, the company had already begun seeing a high return on investment (ROI). Find out how Esselte and its global implementation partner, Tectura, managed this large-scale and complex, global enterprise resource planning (ERP) project.
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