Twenty one members of the Pragmatic Works Sales Team took a trip to steamy Fenway Park last week to celebrate an awesome Q2 in software sales . The Sales Team sat in the sun-drenched seats where it was over 100 degrees with no relief other than beer and lots of water. Unfortunately, the Sox lost in a nail biter when Detroit’s Miguel Cabrera homered in the 9th inning to end the tie game. All agreed the next sporting event will be a Bruins ice hockey game. :)
As the COO of a company, Tim understands the important role data plays in a business's success. Whether it's annual reports, forecasting sales or making important decisions for the business's future, Tim relies on data - data he knows is accurate because it's been tested and validated.
Pragmatic Works helps customers all over the world with their data-centric challenges. If it involves data, we’ve pretty much done it. One challenge our customers continue to see, and we experience ourselves, is the random and unexpected bad result. These are results that cause our business users and customers to question the validity of the reports we produce for them. Even with Master Data Management, Data Cleansing and products like DQS, companies continue to wrestle with bad data. But why?