- When it comes to applying economics to the most valuable asset in the enterprise, timely availability of the relevant information is vital. The same information may not be as applicable if it is presented outside the critical time window without context. For example, knowing where your favorite restaurant is located becomes meaningful when you are hungry. There are multiple time dimensions when it comes to the systemic delivery of information through various channels — including desktop devices of record, mobile BYOD devices of engagement and of course, printers.
Hello Enterprise IT! This is Data.
My roots may be in the zeroes and ones, which gave definition to my presence, and we have undergone various forms of structured and unstructured transformations into brontobytes of data. People have successfully processed, analyzed and informationalized me by turning the tables on computers. They have leveraged us through carefully placed sensors, wearable devices and robotics to introduce automation. But when I see what researchers at EMBL-European Bioinformatics Institute (EMBL-EBI) have accomplished, I am looking forward to a whole new universe for my long-term persistence — Deoxyribonucleic acid — Hello DNA!
Hello, Enterprise IT. This is Data.
It’s Valentine’s Day, and I’m looking forward to going out for a candle-lit dinner, roses, the whole works. But I wonder. Who is my Valentine this year? Looking across the Enterprise IT landscape, I see several entities that have a vital role in sustaining my presence. Yet I’m really confused about who is the one best suited for the critical role of Valentine for Big Data.
Let me explain in detail the candidate Valentines and the reason for my confusion.
Big Data analytics played a significant role in Barack Obama's presidential campaign as outlined in this featured story in the MIT Technology Review by Sasha Issenberg. In order to understand the underlying voter sentiment that drove their strategies in various voter segments, the campaign needed to informationalize their 180-million-person voter file, as well as the data about volunteers, donors and online constituents. And they needed to do this fast with two very simple objectives—get 2008 Obama voters to do it again; and register and mobilize new voters. To do this, they needed a robust analytics platform.
Big Data. Is it yet another term that has come, caught our attention for a period of time and is slowly on its way to becoming history? There are several precedents like object oriented programming, client-server computing, enterprise application integration (EAI) and integration brokers that have come and gone. Will we still be talking about big data – say 5 years from now? I wonder.