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Reports on Risk Assessment published by DataFlux Corporation


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Data Migration for Project Leaders
sponsored by DataFlux Corporation
White Paper: | Posted: 04 Nov 2009
Published:02 Nov 2009
Summary: This guidebook provides the answers with a series of detailed sections including essential activities such as planning, forecasting, risk management, team selection, communication and collaboration.
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Commodity Coding: Code It or Buy (Too Much of) It
sponsored by DataFlux Corporation
White Paper: | Posted: 04 Nov 2009
Published:02 Nov 2009
Summary: This paper will present you with all the information needed to make an educated decision on whether to commodity coding is right for your organization and it will help with choosing the commodity coding that fits your company.
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A Guide to the Value of Reliable Data in Retail Banking
sponsored by DataFlux Corporation
White Paper: | Posted: 04 Nov 2009
Published:02 Nov 2009
Summary: Banks need to get smarter, attract the right customers, implement customer level risk management, and implement risk adjusted customer relationship pricing and all of this is dependent on trusted data. This paper examines the impact of unreliable data on retail banks. It then defines the requirements needed to guarantee data reliability in banking.
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A Guide to the Value of Reliable Data in Insurance
sponsored by DataFlux Corporation
White Paper: | Posted: 04 Nov 2009
Published:02 Nov 2009
Summary: 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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A Guide to the Value of Reliable Data in Manufacturing
sponsored by DataFlux Corporation
White Paper: | Posted: 04 Nov 2009
Published:02 Nov 2009
Summary: This paper examines the impact of unreliable data on manufacturing companies. It then defines the requirements needed to guarantee data reliability in manufacturing and offers a practical approach to creating and governing that data.
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