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In this article we’ll go through the type of questions that you might get in a data governance interview that are meant for the interviewer to better gauge your previous data governance experience. Similar to the of the article on the Data governance Interview Questions and Answers – Part 1 these questions have been compiled from
Do you need to prepare for a data governance interview? Here are the most 5 asked data governance interview questions that you can expect to be asked. And not only that, but I’ll also tell you how you could answer these questions.How did I come up with these questions?First and foremost I’ve compiled this list
This is an article for those who graduated or about to graduate from a Data Analytics program. Those who can be honest enough with themselves to admit that they are not the most technically talented people in the room but who are still hoping to find a job as analysts. I am hoping there are
You need top-level management involvement to improve the quality of your data. Fact! It’s not enough for the IT manager to support your initiatives in improving the quality of your data. Thinking otherwise, won’t get your data quality efforts too far. Even if you’re not part of IT, your department’s manager understands the need to
Data governance is the foundation of all data management programs. It is an essential disciple that supports all other data management knowledge areas like Data Literacy, Data Warehousing, Business Analytics, Big Data, Master Data Management and many others. Data governance has 10 key components that exist to meet the enterprise’s data management requirements for each
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
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
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
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:__CONFIG_colors_palette__{“active_palette”:0,”config”:{“colors”:{“40f3f”:{“name”:”Main
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?
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