IBM helps users gain actionable insight on big data.
The lack of well-qualified business analysts dampens the value of data. A Stanford University professor has found keys to help.
Customers can begin data extraction within two minutes.
Demand for traditional end-user query, reporting, and analysis technologies outpaces demand for advanced analytic technologies. And the gap is growing.
Simplicity, affordability let business users efficiently extract value from big data.
What's it take to be a Microsoft-centric BI player? It may be a matter of picking up where Redmond leaves off.
Even if users are getting poor results out of their existing business intelligence (BI) tool, why might they prefer to stay put, and how does the next wave of BI interfaces propose to change things?
Enterprises finally seem serious about grappling with what makes for good data governance.
Instead of just reporting on data, shops should be exploring their data. This is particularly true in government, where very large data sets can benefit from cutting-edge visual data exploration technologies.
MDM, data quality programs need value proposition to succeed