For sales and marketing especially any data analytics and business intelligence based on “bad data” will yield misleading or incorrect results. In fact, 8 of 10 companies indicated that dirty data is hindering their lead generation campaigns. Instead of cleaning and clarifying, companies pile ever increasing data into storage with a “we’ll sort it all out later” approach, particularly sales and marketing role companies. But real-time data changes things: the sheer volume of information and how quickly it makes previous knowledge and data obsolete requires changing habits.
Enter a new support industry to recover, clean and manage that information. Data Service Providers, companies that analyze, double-check and connect the dots when you have partial details and need more. Hoovers and ZoomInfo are two examples for finding business people and companies; ThinkorSwim takes every transaction from financial markets to analyze patterns, trends and activity levels. News aggregators, auction pricing guides and search engines are just a few other examples of meta-data (data ABOUT your data).
“The problem of data decay is that it’s faster than it’s ever been. Seventy one percent of business cards you collect have at least one change within 12 months,” said Sam Zales, president of ZoomInfo. An estimated 600,000 small businesses are created and vaporize in a five-year-period. Knowing which ones can be critical if that is your marketplace.
No human-powered research effort could possibly keep pace, so a regular schedule and program is an important first-step. Like a health inspector, you can’t expect to check every restaurant daily – but responding to complaints and maintaining a rigorous plan for oversight is a good policy. Testing data for accuracy on a regular schedule answers questions such as “What do you know? And how do you know?”
Then you can confidently answer the question “Are you sure?”
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Spotfire Blogging Team