Data quality is not a random activity in the organization, even if it appears so. It might be done by an intern in Excel or by an artificial intelligence solution, it still follows a predictable pattern which we distilled in a clear process.
Read moreSo, your company has decided that there is value in data. You have invested in infrastructure to professionalize the data process and you brought data specialists to unlock its value.
Read moreObviously, this is a very vague question. But question that we came across recently and we thought it might be interesting to explore.
Read moreThis is an opinion piece, sharing our experience with data and how the company views it.
Read moreDo you know who owns the data that you rely on in your company? Is it one person or a team?
Read moreInitiating a data quality initiative could be a daunting task. It has the potential to quickly grow exponentially complex due to its specific nature and requirements.
Read moreData is complex. On one end, it needs to power the systems that the organization has built.
Read moreConvincing an organization to act on data quality subjects might prove difficult. Asking your superior for resources to address data deficiencies that cannot be otherwise justified by regular means for project launch, is just one of the reasons.
Read moreEngaging in data quality activities could be not always possible or even desirable. Data is an abstract entity and generating the relevant corporate urgency might prove difficult if not approached right.
Read moreA finance director is trying to secure funding for an opportunity Introducing Kevin, the finance director of a large company.
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