Richard Mohrmann

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How to Not Get Overrun by Your Data Overrides

Large-scale enterprises rely heavily on market and consumer data sourced from outside vendors, but that information comes at a cost. In addition to intermittent issues with the data quality itself, consumers of vendor data can face timeliness problems, non-standard formats, coverage gaps, and lags in technical support. Despite these and other…

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Evolution, Not Revolution: Tips for Transitioning to a Federated Database System

As enterprises scale, they develop data inefficiencies. Sometimes these inefficiencies arise internally, between departments or branches, while others emerge as the parent company acquires smaller companies, each with their own databases and IT departments. In either case, communication issues ensue as siloed databases and IT redundancies begin costing the enterprise…

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Most Technology Projects Fail. What is Your Data Management Plan?

The failure rate for technology projects continues to be over 50%, and some estimate it’s even higher. While that statistic may or may not surprise you, what will surprise you is how much data management strategy (or lack thereof) contributes to that failure rate, directly or indirectly. People blame what they can see, and because...

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