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Defining Relevant Metrics for Populating a Data Quality Scorecard
sponsored by DataFlux Corporation
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In this webcast your will learn how to Populate a Data Quality Scorecard with Relevant Metrics and will also come across the questions about reporting data quality metrics like:
- What is being measured?
- What are the roles of those reviewing the scorecard?
- What do the peopel in these roles need to know?
- How are the scorecards aggregated?
- What tasks are dependent on the scorecard?
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Available Resources from DataFlux Corporation
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sponsored by DataFlux Corporation
Podcast:
In this 12 minute podcast, get expert advice for successfully leading data quality management initiatives. Find out more about data quality program planning, required skill sets and common challenges.
Posted: 25 Jan 2010 |
Premiered:
25 Jan 2010
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sponsored by DataFlux Corporation
White Paper:
This paper explores how a rigorous data quality program is now a business imperative rather than a luxury. Implemented correctly, it not only gives organizations the agility to better ride out the current recession but also raises their competitiveness when the economy recovers.
Posted: 22 Jan 2010 |
Published:
22 Jan 2010
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sponsored by DataFlux Corporation
White Paper:
In the summer of 2009, DataFlux conducted a survey to understand data management trends in the financial services industry. The research examined how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and more.
Posted: 22 Jan 2010 |
Published:
22 Jan 2010
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sponsored by DataFlux Corporation
White Paper:
This paper provides practical advice that will help the reader understand the pivotal role data quality technology must play in a data migration and describes five distinct implementations of data quality technology in detail.
Posted: 22 Jan 2010 |
Published:
22 Jan 2010
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sponsored by DataFlux Corporation
White Paper:
This paper reviews aspects of cost reduction and examines some typical financial accounting expense categories. This paper also looks at how data quality services can be applied in those examples to reduce expenses, and examines the potential for applying data quality management as a way to manage and reduce organizational expenses.
Posted: 22 Jan 2010 |
Published:
22 Jan 2010
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sponsored by DataFlux Corporation
White Paper:
This paper examines the impact of unreliable data on retail banks. Defining the requirements needed to guarantee data reliability in retail banking, it offers a practical approach to creating and governing that data, and shows how you can get started in making trusted data available to improve marketing, customer service, risk management and more.
Posted: 04 Nov 2009 |
Published:
02 Nov 2009
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sponsored by DataFlux Corporation
White Paper:
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.
Posted: 04 Nov 2009 |
Published:
02 Nov 2009
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sponsored by DataFlux Corporation
White Paper:
Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
Posted: 10 Jun 2008 |
Published:
06 Jun 2008
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