Business Questions Before Data Analytics

[@DaveOnData]

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[@eladiohernandez6482]

Hi David, thanks for sharing your knowledge and experience. I have learned more with you in 9 minutes than 3 months studying at the University.

[@DaveOnData]

Wow! Thank you so much for the kind words and I am glad that you are finding my content useful.

[@craveright]

David, thank you so much for summarizing this business field and its associated skills! I'm a stay-home mom and a statistician from 16 years ago! haven't been in the job market for a very long time and now I'm trying to work my way back into the data analytics job market by taking Google data analytics professional certificate. I have a lot of anxiety and fear of once I'm on a job I won't be able to effectively translate a business situation into an analytical task. I appreciate how you mention these three "buckets" and that most business questions can be fit in one or the other of these analytical buckets!! Will keep this in mind :D

[@bshelley0]

YES! We need to understand the question to be answered, not just give people the report they think they want. Analysts have a deep and nuanced understanding of how data fits together and often can develop a richer analysis when the business context is understood.

[@DaveOnData]

100% agreed! However, the dark side of analytics is that often organizational culture is such that stakeholders see data professionals as order-takers. I've seen and experienced significant pushback from stakeholders when a data pro asks clarifying questions.

[@Terryguztavo]

All my time on KZbin this is the best communication i have listened to.. 🥂

[@osis1k]

You have natural talent for clarity. Thanks

[@TejaliGangane]

Wow! thanks for the information. This was very helpful! When I first started learning data analytics, I used to jump straight to techniques and all. But recently, I have learnt the importance of having knowledge about the working of business and not just knowing what the output should be. Once again thank you for this video!

[@DaveOnData]

Thank you for adding your real-world experience to the discussion and so glad you liked the video!

[@arcane888]

I just found out about your content and it’s just what I need. Much love from 🇳🇬

[@LizDavenport-w5y]

This is a great video. Many thanks!

[@autokorektay1670]

Categories: 1. Analizing business over time _ KPI 2. Qns where the number is an answer - Linear progession 3. Ansr is a category - Machine learning

[@DaveOnData]

I would offer that ML can be a great choice for questions where the answer is a number.

[@lynettecorcoran5903]

Excellent. Thanks for this 👍

[@DaveOnData]

You are most welcome and glad you found the content useful!

[@matthewnye2061]

Your videos are so helpful

[@DaveOnData]

Woohoo! I'm happy to hear you're finding my content useful.

[@mdhcclothing4197]

Hello David, If I were to want to go deeper into this would it be considered Business Intelligence?

[@Mr.Arshad-oc1fd]

As junior Data analyst what kind of problems can face to us to solve or to having skills to solve that please

[@DaveOnData]

Junior data analysts spend a lot of time answering the question, "What happened?" SQL and Microsoft Excel are the two most useful skills to answer this question. SQL is used to acquire, clean/transform, and aggregate data. Excel is used for analysis (e.g., PivotTables) and presentation/dissemination. Often, junior data analysts don't have many opportunities for modeling (e.g., logistic regression). That comes later as they gain seniority.

[@nompnomp4884]

Hello David, can you change the subtitle (automatically generated) to English? Thank u Jake this video is very useful.

[@FPAPowerPlatform]

Subtitles for this video are horrible