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So let us not discuss the case study I told you about in the interview.
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Put yourself into the shoes of a data analyst.
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Data loaded profiles come with different names such as business analyst, business researcher or a business
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insights head.
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Let's say you are the business insights head for E!
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Company, which is selling products online.
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Your job is to provide relevant insights from data based on which the company can take appropriate business
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decisions.
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So basically you have the access to all the data that the company is storing and you take out useful
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information out of this data to take decisions.
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When you are in such a position, you cannot be working in silos.
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You'll be interacting with all the teams in the company with sales and marketing or finance or operations.
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That is the supply chain team.
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And all these will be reaching out to you to find out what data has to tell about the issue they are
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facing or the information related to decisions they want to take.
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So one day you receive an email from the marketing manager.
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She's planning on starting a fresh marketing campaign and is trying to finalize the marketing channel
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for the same.
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She has several options.
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If she chooses social media, she will be primarily focusing on the younger age group people.
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Whereas if she chooses newspapers, she'll be focusing on the aged category of people.
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So she decides to figure out the profile of the customers of card company in different regions.
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If there is a particular category of customers more prevalent in any particular region, she will use
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the corresponding channel to target that segment of customers.
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Therefore, she's asking you to provide the number of customers belonging to the three age categories.
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That is less than 36 years, between 36 to 54 years and above 54 years.
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From all the four regions that is central, east, west and south.
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The next email is from the supply chain manager.
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His job is to maintain the inventory of all products at the same time, saving the warehouse cost.
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Now the supply chain manager is facing a problem.
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The warehouse in the south region is full, even over utilized, whereas the warehouse of East Region
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has a lot of space that it is underutilized.
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He needs to take action quickly and order highly selling products in the East region and return back
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the low selling products in the South region.
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So he's asking you to provide a list of top five selling products in the East region and top five non
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selling products of the South region.
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Third meal of the day is from the finance manager.
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His job is to ensure revenue.
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His job is to ensure that the revenue is maintained or even increased while containing the expenditures.
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He just realized that a lot of revenue is let go due to the discount coupons given to customers.
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He's asking two things of you.
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First, he wants to know the total revenue loss due to the discounts given till date.
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So again, he wants to find out which products have higher discount redemption compared to the revenue
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they generate.
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Once he identifies such products, where the ratio of discount is more than the revenue they generate
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for such products, he will either change the price or he will discontinue the discount coupons.
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So you'll see that different teams are approaching you and are asking for your help.
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Once you learn a skill, you can answer all their queries.
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In the next video, I will run the SQL queries to show you the answers to these questions.
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Once you have completed the course, you'll be able to write these queries on your own.
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Let us see the solution to these guys problems in the next video.
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