Putting Our Arms Around the Customer Data Problem
5 Customer Data Integration Problems
Jill Dyche and Evan Levy, gurus in this field, have boiled the challenges down to five primary categories:
- Completeness – You don’t have all the data you need to make sound business or organizational decisions
- Latency – It takes too long to make the data valuable…by the time you can use it, too much is obsolete or outdated (slowed by operational systems or extraction methods)
- Accuracy – What percentage of your data is inaccurate…your Achilles’ heel
- Management – Data integration, governance, stewardship, operations and distribution all combine to make-or-break data-value and
- Ownership – The more disparate data-source owners, the more silos of data, the more difficult it will be to solve the problems.
Our consultants have written a new Journal addressing the top 5 customer data integration issues. Get yours here: Customer Data Integration Journal
