From the course: A Day In The Life of a Data Scientist
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Automated analytics reporting
From the course: A Day In The Life of a Data Scientist
Automated analytics reporting
- Building out automated reporting is very important so that stakeholders can consistently access data and make data driven decisions. So ongoing reporting is something that the entire business uses. Even though data sciences is its own org and we have our own function, there's so many people within a business that are analysts themselves. And the fact of the matter is we can't keep track of everything on our own. There's 10 or 15 different dashboards out there every day that sales or marketing or finance is looking at to make sure that something isn't going wrong. Everybody has some sort of like analysts mindset, I would say, in most parts of the business and having these automated reports or up to date dashboards will allow for them to make decisions as they go, and it's really this idea of self service. As data scientists, we don't want to spend our time going and pulling the percent of people that used our app…
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