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Modern companies are increasingly turning to data-driven solutions to offer better products and services. According to TechTrend’s review on global data use, we created 2.5 quintillion data bytes daily in 2020; this means there is more data now than ever to extract value from. Moreover, the field of data analytics has also expanded rapidly. Data
Today I’m did a bit of gardening. As I was planning the work in my head, I realized there were quite a few analogies between data governance and gardening. So let’s use the gardening analogy to understand how we could establish a good data governance program.1. Understanding the driver In my garden we’re sharing a
Table Of Contents Questions you are askedQuestions to ask the interviewer 1. What stage is your data governance program in? 2. What were the main factors for making other programs successful at their company? 3. How do you define
As most of us already know, the data governance sponsor plays a critical role in the success of a data governance program. Without sponsorship, data governance often fails. But, we have to be a bit picky here and not just go for any sponsor. Here’s is one main guiding criteria in selecting a sponsor:”Choose someone at
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
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