Wednesday, December 17, 2014

Is Big Data a Digital Management Transformation

Digital Management has to shoot the tangle to see from the different angles.

Modern Management has to continue to reinvent itself; from mechanistic thinking to holistic thinking; from gut driven decision making to fact-based decision intelligence; from silo focus to systematic planning; from static strategy to agile participation. Digital is the age of Big Data, it brings both critical leadership challenge as well as unprecedented business opportunity, how to ride above the learning curve and how to leapfrog your digital transformation.  

Big Data deployment requires “out-of-box” thinking: There are so many definitions and interpretations as to what we call Big Data. Businesses can definitely exploit existing BI talent organizations currently hold by adapting to the new realities that Big Data brings to the table. It also requires new technology to handle the data volumes in a meaningful and efficient way. Lots of technology out there and what works for one organization may not work well for another. It all 'depends'! It also requires to think out of the box when embarking along the 'Big Data' journey. This is the most difficult aspect to consider. How can an organization benefit from this and what should they be considering to maximize ROI? Thinking out of the box is the first and toughest part,


Big Data deployment needs to take people centric approach. Data is only as good as you can do with it. Some people don't even understand in which Use-Cases they can take help of Big Data. often businesses don't know the fact that their business data set can be used to help them, but in a probabilistic way. So they are not so keen to take Big Data for their Business Analysis. On the one hand, hard technical skills and a new breed of statistical analysis may be needed in a big data world, both of which are trainable for those with the aptitude. On the other hand, there's a requirement that is much more subtle, understood by those realizing that there is one thing that hasn't changed in the evolution to big data, and that is that data, any data, is only as good as what you can do with it, no matter it's volume, source, variety, rate of growth, or the nature of the new technology required to process it all. There's a wealth of existing experience to tap into in this respect, talent with a track record of producing business results from diverse data sources of varying quality, providing an excellent foundation to build your big data competencies from. So people are the big focus of Big Data, either customers or employees, and talent people are the Big Data masters as well.


Big Data highlights the forward-looking, not just backward view. If traditional BI is like rear mirror, then Big Data is like front window, zoom in the foresight to run business in an intelligent way. Business Intelligence or Data Analytics has always been driven by two streams of thought; one, business driven, thinking you need to grasp first organization and process needs, what type of information, where is the data, is it the right one (all Governance issues) on one side. And on the other side technological firms advocating brute force is able to solve almost any situation. Perhaps one day, the bulk of the conversation will eventually extend beyond the technology, to why leveraging big data - specifically the ever increasing volumes of externally generated data of all types - truly matters in the context of building sustainable, competitive business growth strategies in increasingly saturated markets.


Big Data can improve management maturity from efficiency to effectiveness to agility, empower managers with the right information to make the right decision at the right time, engage talent and enable business to shoot the tangle to see from the different angle, and build ongoing analytics capability to compete for the future.

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