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Data overload In a world where more data is being created than we can shake a stick at (around 2.5 quintillion bytes of data created every day), it’s no wonder that we’ve reached tipping point. Worryingly, many organisations are ill-equipped to deal with the vast amount of data they hold. They have large, fractured landscapes …read more
Fixing data quality issues is only part of the solution. In order for these not to reoccur, one needs to identify the root cause and prevent from further creating poor data quality. As we know, for every effect there is a cause, and that’s the basis of the root cause analysis. The chain of relationship …read more
Most of us know Stephen King as a great writer and a great storyteller. His books have been translated into 33 different languages, published in over 35 different countries. There are over 350 million copies of his novels in publication, with some of his most notable books being Carrie, The Shining, The Stand, The Green …read more
One of the main functions of the Business Intelligence (BI) team is to provide the right information to the right people at the right time. 99% of the time, this comes in the form of well-designed, structured, and built reports and/or dashboards. There are a lot of challenges in getting that deliverable right in the …read more
Data warehousing and business intelligence users assume, and need, trustworthy data.In the Gartner Group’s Online IT Glossary, data integrity and data integrity testing are defined as follows:Data Integrity: the quality of the data residing in data repositories and database objects. The measurement which users consider when analyzing the value and reliability of the data.Data Integrity …read more
Any working group, steering committee, strategy setting council and so on, will be more successful if it understands its purpose, responsibilities, and overall expectations. Outlining all these expectations will ensure a higher commitment and engagement rate from its members. This is also the case with a Data Governance Council (or however else you would like …read more
There are different takes on what veracity refers to. The overall consensus is that data veracity reflects the truthfulness of a data set and your level of confidence or trust in it. I’ll take this a step further and say that data veracity is your level of confidence/ trust in the data based on its …read more
In the 6 weeks of my course, Data Quality Improvement at BCIT, I try to impart to them an understanding of how to ‘discover’ the instances of poor data quality in the data sets they are responsible for so that they can begin to help their team to ‘monetize’ the effects of that poor data …read more
Ever since the passage of the Patient Protection and Affordable Act (PPACA) in 2012, all healthcare providers in the US have been mandated to store patient data in the form of electronic medical records (EMRs). EMRs do away with clunky, paper-based records of patient medical histories. They help physicians access clinical data more efficiently and …read more
So far I’ve provided an overview on 6 different data governance maturity models which I will post links below in case you’d like to learn more about them. Maturity models can provide a road map to follow in order to advance from one maturity stage/ level to another. Today I’ll provide an introduction into the …read more
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