Creating a single customer view – harder than you think
But to business, having customer data consolidated into a master data management application often leaves a bad taste.
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#AI: Differentiation is in the data, not the algorithm
What makes the difference, for any AI project, is the quality and quantity of data that is available to feed the model.
Is a lack of trust inhibiting adoption of AI in South Africa
Concerns about the quality of data are inhibiting the adoption of AI in South Africa and world wide – access the report
Norwegian bank drives customer centricity with ethical application of data
Learn how DNB is using data to reinvent itself as a customer-centric, digital bank
Three reasons why customer data is (often) of poor quality.
Most companies would acknowledge that quality customer data is important. In most cases, however, customer data quality is not good enough. Why? Changing business requirements Most businesses have a history. Customer data may have been accumulated over years, or decades. Data that was captured in the past may not have complied with the requirements of…
Avoid these common data purchasing pitfalls
Last week we explored the reality that, for most companies, more one in three customer records is out of date, or otherwise of poor quality. A common approach to solving the problem is to look to third party data providers to provide updated data. This approach can work, but, in my opinion should be a…
When is the best time to start a data quality program?
Almost every business has a data quality problem. In a study involving 75 executives only 3% found that their data fell within the minimum accepted range of 97 or more correct data records out of 100. Yet for many businesses struggle on with poor data hampering their business and putting them at risk. The timing…
