You need analysts with deep understanding of the business, customers, roadmaps etc. They can't just sit in a silo.
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That's why data requires context. Data-driven, does not mean data-exclusive. One of the great joys of being a working statistician is you get to interact with all sorts of subject matter experts that can flush out what the data is saying.
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Yes! For long term decisions, you need principles aka vision.
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I think it should be part of the culture. Being data driven does not mean that you fully rely on the data but use the data to challenge your ideas and you explain why you re going against the numbers ... A balance that is hard to find.
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For example, it could need 1 AI dedicated to brainstorming the data itself...while 1other AI compute data as usual, or
#AlgoritHuman could manage these principles...by better coding as possible...!?
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This tweet is spot on. In fact, many business get sold the soft lie of using data analytics to solve all their business problems. Issue with that is, analytics metrics cannot replace business strategy. Analytics is just one of the inputs you need to choose the right path.
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Or put differently, another input to help you decide what not to do, since that is the essence of strategy!
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Problem comes you can never anticipate the new surge that comes in data...
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This world be a good blogpost, elaborating on the McNamara fallacy & TD learning IMHO: data should be used to build & improve a model. The model used for decision making, & check its impact & dependencies on context for potential paradigm shifts Related:https://twitter.com/CodeWisdom/status/1046015990679719936?s=19 …
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