workingwithdata_ebook_april21_awc2op 4
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TREATING DATA AS A PRODUCT
Data downtime is a hot topic in data at the moment, and for obvious reasons.
The cost of data downtime – a term coined by Monte Carlo to refer to periods
where data is partial, erroneous, missing or otherwise inaccurate – can be
significant for companies who rely on behavioral data for decision making.
If making key strategic decisions based on inaccurate data or wasting
valuable time finding and diagnosing issues with data sounds commonplace,
then your company suffers from data downtime.
But how exactly does data downtime occur? And what can we do to eliminate it?
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