Recently, the Forbes article “The Knowledge Revolution Is Not About Big Data, It's About Well-Connected Little Data” gave another perspective on what some software developers knew when the Big Data buzz first started. The point of exploring Big Data is to find more relevant data to help businesses grow, become more efficient and generate ROI.
Mining Big Data is not difficult, however businesses face issues when fine tuning search and capture programming:
What digital technology has enabled are platforms through which we can build mental models and play with them. Once engaged, this playfulness can extend to what other people know. It is when we begin to map what we know into what others know (or vice versa) that truly powerful and revolutionary things can start to happen. But we only get there by, on some level, writing our own code.
A company that writes their own code to farm Big Data will most assuredly find success, but hiring professional coders can be a costly venture. A much simpler and more cost effective way of achieving success would be to utilize software that offers an insight enabling infrastructure with a friendly user interface. The unique component allows the user secure, enterprise-wide access to relevant information while continuing to store and break down insights and opportunities from Big Data. Software like this increases efficiency by implementing user parameters for finding information.
Jennifer Shockley, October 8, 2012