Data Quality
In addition to access policies data products need proper governance including but not limited to life cycle management, ownership, decision rights, accountability framework and security.
“Data quality improvements reduces operational overheads making processes more efficient and ensures the appropriate behaviour in the creation, valuation, consumption, data control and technologies used to leverage said data. Freeing up time for further innovation.”
Unambiguous consumption mechanisms such as automated data streams help eliminate time spent organising and cleaning data for analysis.
Data quality improvements reduces operational overheads making processes more efficient and ensures the appropriate behaviour in the creation, valuation, consumption, data control and technologies used to leverage said data. Freeing up time for further innovation.
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