Organizations large and small are deluged with data and there is this search for "Turning Data into Dollars"as Peter Guber puts it. There is data from your existing customer transactions and CRM, there is a lot of data from you manufacturing and supply chain, your share price and financial data and you have not even thought about all your website data from digital marketing and website visitors.
Even with the most sophisticated data mining tools it's hard to get the data to guess your questions and speak out answers to your organizations problems. Unless you frame your problem as a question for your data. For data by itself has no mind of its own.
What is exactly this "framing of your problem as a question?" A nice example is from the Moneyball problem where Billy Beane's at Oakland Athletics could not afford to pay a great deal to recruit traditionally great players and an alternative method beyond the traditional "gut" feel method of player selection was needed. Enter Peter Brand and his Sabermetric method largely relying on the on-base percentage. And then: the success of Oakland Athletics.
For data (big or small) to work for you it must be able to predict better than pure chance and if you are able to frame the right question (can’t afford to pay expensive players, but want to win- so what next?).
Once the question is framed well your existing data can provide huge insights and good predictions that are better than chance and sometimes far better than chance. Contact StratoServe.