Connect the Enterprise with Data Analytics
Right now there are teams updating data related to associations, relationships and hierarchies. All these updates are made in CRM systems, ERP, billing systems, risks systems, and more. The tasks get completed, but how can the teams or any stakeholders use these systems to get an accurate view of the relationships among those entities across the enterprise?
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The reason data quality issues will always exist is because new data is created with different intent or context from the old data. When we try to compare and the data differs, which data is correct? Is that the right name? Is that the right address? Is this the correct amount, value, or date?
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We've heard many people say creating a single source of truth is too challenging, too costly, and not worth the investment. But unlike the aforementioned Halloween folklore, data and a single source of truth can haunt organizations year-round. What feeds the problem? Multiple platforms, applications, departments, people - and of course data - are fragmented throughout the enterprise.
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