Information developed from running powerful analytics tools against your massive data sets can be turned into knowledge. In turn, this knowledge can be applied to processing new information from new or expanded data sets in the future
Businesses don’t store, process and analyze very large data sets for the fun of it. They are looking for some business value, or some research finding that will drive value further down the chain. But what happens if they look at the progression a different way?
Analysis of large data sets can provide information in many forms, including historical trends which can feed the development of new models applied to the analysis. However what you want to achieve is that “actionable insight” that provides decision making support. This might be the ability to state with authority that over the last five years, the company has purchased too much raw material and made too many widgets, which sit on the shelf for too long. A holistic view emerges, which points to efficiencies that can be made in the supply chain processes.
Retaining the knowledge that drove this decision becomes the next priority, perhaps in the form of explicit knowledge assets captured in a system, but also in the “corporate memory,” via organizational learning methods.
– ASZ SUCCESS TRADE RESOURCES – Big Data Development & Management Services Company in Malaysia , Contact us – 018-370 2581
