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Data Quality by the Numbers: Best Practices for Managing Business Data
sponsored by DataFlux Corporation
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Business data covers everything from product data to operational data to VIN numbers to complex biological data. Most data quality technologies support accurate customer data, but have limited capabilities for supporting business data. Few solutions, for example, can analyze business data and generate rules that can enforce organizational standards on the data. Furthermore, business data can be extraordinarily complex, which requires a different approach than is generally used for name-and-address data.
Learn about the importance, impact, and challenges of business data, and more importantly, the ways that data quality technology can support even the most extreme kinds of business data. Find out how some data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data.
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Available Resources from DataFlux Corporation
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Effective data quality program management: Tips and advice
sponsored by DataFlux Corporation
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Podcast: |
Posted: 25 Jan 2010
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Premiered:
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25 Jan 2010 |
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Summary: |
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.
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Finding an Upside in the Downturn with Data Quality
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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Published:
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22 Jan 2010 |
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Summary: |
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.
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Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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Published:
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22 Jan 2010 |
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Summary: |
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.
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De-Risking Data Migration: The Case for Data Quality Technology
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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22 Jan 2010 |
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Summary: |
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.
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Data Quality and Cost Reduction
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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22 Jan 2010 |
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Summary: |
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.
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Customer Centricity Master Data and the 360 Degree View
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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Published:
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22 Jan 2010 |
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Summary: |
This paper will provide a list of questions that should be considered and reviewed during any project designed to deliver a 360-degree view. The paper then explores how information sharing and identity resolution combine to show the connection between MDM and enterprise customer-centricity.
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Populating a Data Quality Scorecard with Relevant Metrics
sponsored by DataFlux Corporation
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White Paper: |
Posted: 22 Jan 2010
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Published:
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04 Jun 2008 |
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Summary: |
Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
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Data Migration for Project Leaders
sponsored by DataFlux Corporation
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White Paper: |
Posted: 04 Nov 2009
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Published:
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02 Nov 2009 |
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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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A Guide to the Value of Reliable Data in Retail Banking
sponsored by DataFlux Corporation
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White Paper: |
Posted: 04 Nov 2009
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02 Nov 2009 |
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Summary: |
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.
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A Guide to the Value of Reliable Data in Manufacturing
sponsored by DataFlux Corporation
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White Paper: |
Posted: 04 Nov 2009
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Published:
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02 Nov 2009 |
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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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CRM Research Library