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.
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.