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A holistic approach is applied to a scoping study to ensure that the consequences of any future recommendation on business process, business metrics, organization and systems are thoroughly understood. The following areas are analyzed in depth.
PEOPLE
PROCESS
Business strategies impacted by data
Business processes and performance metrics impacted by data
Financial costs and benefits of data improvements
TECHNOLOGY
DELIVERABLES
At the end of a typical study, we will provide you with specific recommendations on the most suitable enterprise DLM strategy to support your business objectives through analysis of your people, processes, and technology. By comparing the results of the Data Health Checks™ (DHC), the DQ Valuator, and incorporation of new and existing knowledge of your business landscape, a high level data strategy is developed.
Typical deliverables:
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The mission, objectives and benefits of a new enterprise DLM strategy including a value proposition and business case
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The organizational and technical scope of a new enterprise DLM strategy
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A high level "as is" logical data model containing types, relationship and flows of data
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Approach needed to execute the new enterprise DLM strategy successfully, including a high level best practice data governance framework
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Profiles of top data types including volumes, data quality issues, ownership and recommendations on how to consolidate, cleans and enrich those data types, plus results from our DHC process
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High level overview of future systems landscape including hardware, software, and network
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Timeline, project organization, resources and budget required to execute the new enterprise DLM strategy
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Recommended organizational changes, their issues and impact
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Overall critical success factors and risks
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