EMA Blog: Business Intelligence and IT Management

If I told you in September that the Baltimore Ravens would win the Super Bowl in February and you did nothing with that information ( i.e. place a bet, announce your prognostication skill, etc. ), was my prediction worth anything? Much like “if a tree falls in the forest and no one is there to hear it, did it make a sound?”, you need action from a piece of analysis, prediction, etc. to make it worthwhile.

Albert Einstein once said:

I have always loved the song “88 Lines about 44 Women” by the Nails.  And based on some recent success with a blogging topic relating to the songs of the 80s, I thought that I would continue that theme with “100 Lines about 25 Business Intelligence Topics”. Think of this list, or series of lists, as a wide ranging set of predictions, topics for discussion and observations relating to the business intelligence and data warehousing domain for the upcoming year.

Next week, EMA and 9sight will hold a webinar covering our Big Data research findings.  Among our insights will be that Big Data has evolved. Moving forward, Big Data isn’t:

Many times when discussing the topic of big-data, the focus is on the volume of the data, the structure of the data or the near real-time analysis requirements of the data.  We toss around buzzwords like Hadoop, structured vs unstructured, etc…. However, often times what is missed are the analysis goals of the big-data environment.