Over last two months we have been engaged by two big companies from Textile and Automobile sector to dig deep into their data assets (Energy, Production, Process) and conduct a detailed data discovery process. Background being that both the organisations wanted to find out ways in which data could support their decision of improving #EnergyProductivity.
Though they were not completely aware about the sort of insights/ benefits the data discovery process could bring to them but they still wanted to do it with an open mind and without any possible constraints.
Because of the way in which #DataAnalytics has been sold to companies, their ability to look at the use cases is getting restricted to what’s being sold to them. Forward looking organisations are wanting to do more, develop their share of process driven IPs that could give them competitive advantage and be able to innovate on use cases. It is this approach that is letting some of these companies get the right strategy in place, implement solutions that fit their requirements and more importantly generate much more economic value out of their data assets than they would have been able to do otherwise.
I am afraid that we do not have enough businesses/companies investing in the #Data discovery process. Last year i had release series of Podcasts on use of Data Analytics in driving Energy Productivity improvement and better Energy Management practices in Industries. One of the important areas i touched upon was the link between Change Management and adoption of data driven processes in assessing, reporting and managing energy performance!
Once businesses are able to overcome legacy issues, challenge their conventional approach they would be in a position to embrace #Data and make the best of use of emerging technologies/techniques.
What is your take on it? Would love to hear on your experience.