That’s why they need to hire a Data Scientist! Hopefully they won’t hold out for a unicorn!
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That’s why they need to hire a Data Scientist! Hopefully they won’t hold out for a unicorn!
Sign up for the free insideBIGDATA newsletter.
In this special guest feature, David Kolinek, Vice President of Product, Ataccama, asks why data quality is so important? Sometimes taking a step back and reviewing the basics can help clear things up. DQ is not a single activity but a series of actions that draw upon multiple resources and functions, all focused on making data usable in a purposeful way. It falls under data management, which has an overriding mission of delivering a view of datasets from various perspectives, enabling the type and quality level of data to be assessed.
[READ MORE...]This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
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