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Data quality
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Data quality

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In association with Synertrade


“I never guess,” said Sherlock Holmes. “It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.”


Sage advice from a wise (albeit fictitious) detective. The quote anticipates the modern day corporate detectives for whom data is all, as they try to sift the evidence, deduce the truth and find solutions to tactical and strategic challenges.


But how good is the data? Has it been well looked after or thrown casually into multiple databases without much care for accuracy, repetition or timeliness? Only at the granular level can we be sure whether decision-making is built on a foundation of bedrock or one of sand.


It is possible to strengthen those foundations, however, to improve the quality of data so it fully supports the corporate goals. So there’s no more need to guess.