Metadata Management

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7 deadly sins of data modeling

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Robert Vane

January 5, 2021

Table of Contents Assumption 1: Process and Data can be detached with minimal consequencesAssumption 2: Simplicity of theory guarantees correct adoptionAssumption 3: Data Quality and Integrity is guaranteed by optimal structural data designAssumption 4: Nomenclatures fully define semantic meaningAssumption 5: All entities convey singular truth, all attributes are atomic, all relationships are trueAssumption 6: Temporality, …read more

Data Governance

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What’s the return on investment from data governance?

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George Firican

November 1, 2020

Table of Contents 1. Reduce Data Redundancy2. Minimizing Security Risks3. Improving Data QualityDon’t miss an opportunity…  What’s the return on investment from data governance? As the result of Coronavirus, demand for data governance is increasing, and this is all at a time where resources are scarce, which means now, more than ever, stakeholders need to …read more

Data Governance

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How to select a Data Governance Maturity Model?

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George Firican

October 7, 2020

Table of Contents Business driversResourcesFrameworkIndustryConclusion Is this you? You understand the benefits of using a Data Governance Maturity Model, you want to use one, but you don’t know which one to go for. Understandably so, because there are plenty out there.  Out of the more notable ones, here are the ones we’ve covered so far:Stanford’s Data …read more

Data Governance

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9 keys to data governance success

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George Firican

September 16, 2020

Unfortunately a lot of data governance programs fail and there are many reasons why. The silver lining is that  there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program.   Here are the 9 keys to data governance success: Table of Contents …read more

Data Stewardship

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The main responsibilities of a data steward

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George Firican

September 8, 2020

I like to think of the data steward as the unsung hero of data. Truth be told is that without them, data scientists wouldn’t be able to understand and trust the data that they are using, AI/ML wouldn’t output correct results, and a company wouldn’t be able to become data-driven.  So who is this unsung hero? …read more

Data Governance

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What is a Business Glossary? (the best explanation)

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George Firican

August 25, 2020

What is a Business Glossary? At times I feel that the answer to this is obvious and that it does not merit its own article. But then I read a blog post, a LinkedIn post, a whitepaper, or even watch a webinar that talks about the Business Glossary, that talks about it incorrectly. That’s when …read more

Data Governance

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5 main reasons to leverage a data governance maturity model

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George Firican

August 19, 2020

Data governance maturity models are a favorite topic and a highly sought after online course here on LightsOnData. Why is that? The short answer is that a data governance maturity model is a sought after tool as it brings quite a few benefits which could be placed in the following 5 buckets: 1. Regulation Sometimes …read more

Data Quality

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What data quality testing skills are needed for data integration projects?

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Wayne Yaddow

August 12, 2020

The impulse to cut project costs is often strong, especially in the final delivery phase of data integration and data migration projects. At this late phase of the project, a common mistake is to delegate testing responsibilities to resources with limited business and data testing skills. Data integrations are at the core of data warehousing, …read more

Data Quality

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Data quality myth: our data is good

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George Firican

July 29, 2020

There are quite a few data quality myths that need to be dispelled in order to move forward and mitigate the data quality risks. Last year I’ve covered 4 myths about Data Quality everyone thinks are true that started an entire trend on LinkedIn and also sparked a series of YouTube videos. So, here is …read more

Data Governance

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Data management risk register – Free template

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George Firican

July 22, 2020

Organizations have several lines of defense in addressing various risks, at the project, department, or enterprise level and it all start with the awareness and monitoring of these risks. Risks also occur within and from data and data management areas (data quality, data security ,data architecture, etc.) as well as data governance and so data …read more