The sobering reality is that most organizations’ data analytics remain in the early phases, at the descriptive and diagnostic levels that tell a “what” and “why” story but for one reason or another, have either not yet reached the crucial “what to do” phase of the story that prescriptive analytics provides or are drawing their own findings and solutions without the rigid process of prescriptive analysis, which only guarantees failure for the organization’s data-driven endeavo

Data is a valuable asset for any organization. However, for data to realize its value, it needs to be transformed into comprehensible and...

We are fortunate to live in a world where data can be found more easily and is readily more accessible than ever. But that is just half of..

We have previously discussed here how ETL (which stands for extract, transform, load) data processing provides a competitive advantage...

While we have always thought of data as this rich resource that contains all the information we need, it glosses over the work that needs...