Building A Business Case For Data Quality, 7 of a 7-part series Finally, you need to create a business case and present the finding of the data quality checkup. There are two levels of presentation that typically take place after the data quality assessment. The first is a technical presentation to IT giving all the [...]
Of my recent series of papers on the value of data quality improvement, the first focused on the economic or financial aspects of data quality improvement. One of the goals of the paper was to show that if you iteratively drill down along the different economic value dimensions to look at the use of information [...]
We launched a coast-to-coast Customer Data Forum road show with visits to Atlanta and Washington, D.C., that attracted business and IT professionals interested in using master data management (MDM) to attract and retain customers. From the business side, our guests consisted of analysts, sales operations personnel, and business liaisons to IT, while the IT side [...]
By Ravi Shankar
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Posted in Data Governance, Data Integration, Data Integration Platform, Data Quality, Data Services, Data Warehousing, Enterprise Data Management, Identity Resolution, Informatica Events, Master Data Management, Partners, Pervasive Data Quality, Profiling, Public Sector, Scorecarding
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Also tagged Atlanta, attract and retain customers, Capgemini, CDI, customer, customer centricity, customer data forum, customer data integration, Data Integration, Data Quality, Data Services, Data Silos, IT, Master Data Management, MDM, Ray Wang, Washington DC
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Building a business case for data quality is a waste of time. Nobody really cares. Improving data quality for quality’s sake is a waste of money. Sounds funny coming from a data quality specialist, someone who has spent the last decade preaching data profiling and data quality. But the fact is people from the business [...]
Last week I wrote about a telephone company (Avaya) that achieved a 2,000% ROI through their Data Quality COE. They achieved this payback by focusing on the income side of the business; that is, driving revenue growth and reducing operational costs by improving the quality of integrated customer and business data. But is it possible [...]
