It takes both Big Mind and Big Data to successful dealing with uncertainty which is a characteristic of Wisdom.
“Big Data" refers to a problem which deals with large volume, high variety, high velocity and high variability of data. However, Big Data is the means to the end, not the end. Before agreeing to bring out the checkbook, an organization must ask why they need Big Data. What part of their strategy requires the benefits Big Data provides to execute? What challenges they face today cannot be faced by the current data management or business intelligence solution refinements? They will need to be able to listen intently to the reasonable voice from among the din of Big Data. To put simply, does it mean that Big Data needs to have big minds for unleashing its potential?
Working with big data, surely requires a Big Mind: Business users who is interested in mining Big Data, don't ask for a well defined KPIs or a number that will be written in stone and nobody can argue with, but are asking to be given access to all data they consider relevant, analyze and discover them for themselves, coming to conclusions that don't depend just from the data, but also from the their mind crafting, business acumen and experience. There's a huge connection between Big Mind and Big Data. It’s the way we approach "solutions" or "answer seeking." Not to mention ways into "insight" of questioning! Big Data analytics gives you answers that are more often than not framed as probabilities, not exact measures.
Big Mind helps bridge “the Ingenuity Gap": The big mind creates the non-rival idea and surely isn't narrow! So we need to pursue a focused approach, not in the light of narrow, perhaps in implementation and seek to refute the conjecture it's based on? Does the Big mind aim to bridge our ingenuity gap or make it less hollow? Has Big Mind learned from the past experience or historical lessons. Sometimes, we lose wisdom, because we rather seek new methods than to remember the stories from our ancestors. The new does not make the old obsolete. We lose wisdom, because it gets misplaced, we underestimated the need of curatorship and reevaluate our own reference models. etc. So Big Data is not complete new “data species”, the principle to explore it would be the same as deploying traditional BI.
The Big Mind helps identify patterns: The very needed starting point should be in the microeconomics of data; more often organizations can find a lot of large unused data within the organization that can be used to find some patterns and information that, if really coupled well with external data sets, can lead to real insights. Big Data can be considered to be a set of technologies that are used to develop a data focused infrastructure targeted at solving business problems for an organization. However, working with Big Data usually implies a complex system at work in which case, if the system is adaptive, remembering solutions won't always help, since the same problem is highly likely never to occur again, and if it does, it will have different initial conditions, and thus not be able to be identified as a candidate for a remembered solution. But the Big Mind helps identify patterns, learning from experiences, and managing the tailored solution to fit each case. Big business is like the big ocean. Schools of fish are swimming according to a real-time decision patterns. Other fish is mapping their next move according to all the environmental and non-environmental attributes. Others have predefined behavior regardless of anything around them. And a few fish have no clue what is going in. Analytics is the realization of how to observe all movements of all the fish (that matters to you and that have an affect) and decide what to do next. It takes both Big Mind and Big Data to successful dealing with uncertainty which is a characteristic of Wisdom. Big Data can be extracted into valuable information, but it’s Big Mind helps transform information further into updated knowledge, big Insight and ultimate wisdom.
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