As more applications and services proliferate in the Cloud, it may well be that this overall Cloud tech arena will be instrumental in demonstrating the increasingly important role of data integration for meaningful and timely business processes and operations. Enterprises have already made a start with using Cloud services for on demand BI and analytics, [...]

Whether the focus of an enterprise is on “big data” or not, analytics-driven companies are faced with processing many new data sources from inside and outside the firewall. These data sources may be complex structures — or the complexities may come from other aspects such as data trading protocols and message transports. Depending on the [...]

The term “big data” has become very popular in some segments of industry to describe the massive deluge of information that is being produced everyday in many formats. Forrester defines big data as techniques and technologies that make it economical to deal with data at an extreme scale. Big data is about three things: 1. [...]

With the growing interest in the potential business value to be gleaned from “Big Data” or Extreme Information analytics, a new role has been gaining interest: the Data Scientist. The data scientist is a hybrid role encompassing computer science, advanced statistics/mathematics, forensics analytics and other advanced skills, as well as business savvy. The data scientist [...]

The pathway from failed BI / EDW initiatives often is entangled with poor understanding and consideration of the importance of people and process for BI and Analytics activities. A focus on people and process directs the priorities of such initiatives to the organizational and business goals that should be at the heart of “why business [...]