![]() ![]() This is unlikely to come from yelling “big data”. What we really need is to be able to make this torrential flow yield a waterfall of actionable insights and maybe even wisdom. It is clear, that data itself is being created in such piles that data itself is close to meaningless and information from it is often not too meaningful. Today we live in a data driven, data infested, data diarrhea world where we may plaintively wail: Samuel Taylor Coleridge in his famous poem “The Rime of The Ancient Mariner” has a stanza describing what it is like to be stuck in a salty ocean under a withering sun: Let’s think about the poetry (water) that will resonate versus just the plumbing that focusses only on r elevance. ![]() The better the “targeting”, the more important the tone, content and quality of the interaction. In the world of business we are so fixated on the plumbing ( finding the right person at the right place at the right time) that we forget that the interaction we deliver will have to be absolutely right and brilliant not to piss of this superbly well located person at the exact right time. They recognize that data analysis is just an input to what the true goal is : data informed story telling. People who realize that humans choose with their hearts and use numbers to justify the decisions they make. People who are pragmatic and know sooner or later they are going to have make a decision using the data because rarely will the data provide the answer. People who realize that it is human beings that we are trying to understand and humans are complex. ![]() What eradicates the shadow and truly leverages the power of data is not technology but people. Eliot frames the challenge:īetween the data and the reality falls the shadow. #Between the idea and the reality falls the shadow how to#technology platforms, large financial organizations) very few firms can differentiate by leveraging data, just like few companies differentiate today on how they leverage electricity.Īnd even companies with access to world class data often make terrible decisions.īad or Limited Data very rarely are behind bad decisions.īad decisions are primarily a result of individuals not understanding the limits of data.īad decisions occur when individuals do not how to limit the emphasis they place on the data.īad decisions are made when one does not take a holistic and longer term view versus optimizing for the present.Ī stanza from one of my favorite poets. No modern organization can compete without data because it fuels algorithms and can illuminate decision making.īut, with the exception of a handful of companies (eg. ![]()
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