About Us Navesink Consulting Group was formed in 1996 and was the first company to focus on data quality. Led by Dr. Thomas Redman, “the Data Doc” and former AT&T Bell Labs director, we have helped clients understand the importance of high-quality data, start their data quality programs, and save millions of dollars per year. Our approach is not a cobbling together of ill-fitting ideas and assertions – it is based on rigorous scientific principles that have been field-tested in many industries, including financial services (see more under “Our clients”). We offer no silver bullets; we don’t even offer shortcuts. Improving data quality is hard work.
Ultimately, Navesink Consulting brings tangible, sustainable improvement in your business performance as a result of superior quality data. What is data?Data can be any number of things: credit card information. Patients’ health records. Incomes listed on Our teamWe have a distinguished reputation in data quality, data supplier management, process performance, re-engineering, and information technology. We have an established track record of helping enterprises worldwide achieve improved business value through superior quality data. We are trusted advisors – our Senior-level consultants have more than a decade of focused data-quality experience. Learn more about Tom “The Data Doc” Redman and our team of consultants. Our clientsNavesink Consulting Group has worked with organizations in various sectors: Consumer products, Dot coms, Financial services, Health care, Government, Manufacturing, Marketing, Market Research, Shipping, and Telecommunications. Our valuesFinally, our values are embodied in our Raison d'être. |
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But with a dedicated effort, you should expect order-of-magnitude improvements and, as a direct result, an enormous boost in your ability to manage risk, steer a course through the crisis, and get back on the growth curve.
subprime mortgages. The greatest misconception about data is that it’s relocated to a computer, making it an IT problem. Poor data quality is a business problem. Treat data as an asset, and manage it accordingly. High-quality data can not only create new revenue potential, but improve business relationships and customer satisfaction as well.