If our brains are always looking for patterns, wouldn't that mean our big data and data analytics systems would be built using patterns. Patterns that make sense to the development team, the designer, and the customer? But does it make sense to the data? Is there a way to build agnostic data patterns? I think not, as the development team will inevitably insert a pattern somewhere in the design. How then do you create an anti-pattern data pattern?
Can we remove common threads? We know we need to find the data that is hidden, but our tendency to build recognizable links prevents us from finding what is likely hidden right in front of us. It is our bias that prevents answers from being found. Sure an answer is found, but only because it matches the patterns introduced during development or by the analyst that was looking for an answer. But what about all of the other things left at the table? Certainly, one does not believe that pulling a single thread out of pile means that was the only viable answer? How can we know what we don't know?
I'm sure there's someone out there that can answer this puzzle for me? Maybe the Riddler?
Who knew he had released a song?
