From the course: A Day In The Life of a Data Scientist

Serving the client

From the course: A Day In The Life of a Data Scientist

Start my 1-month free trial

Serving the client

“

- Doing data analytics consulting, you know, it really, it is a wide variety of data that people are going to ask you about, that people need help with. I mean, and you have to think about, in the world we live in today, there's data on everything. Everything that you do, someone's collecting data on it whether you know it or not. You know, think about if you're using a free service like Google or something, if it's free, you're what they're making money on. You are the product because they're taking your data and they're analyzing, you know, all your different usage patterns. So people will really coming to us with all sorts of problems. And the main thing you have to try to figure out is how can we use the data that they have to try to solve the problem, you know? And a lot of times the customers, they don't even know. They'll say, "Here's a problem that I'm having. "Maybe it's security-related." So we're a cybersecurity firm. So a lot of people will come to us and say, "We're trying to figure out, you know, "we have all these vulnerabilities on our machines "and we're trying to figure out where are they located? "Why are they happening? "You know, are there certain users or certain activities "that are bringing along like more risk "and vulnerability to our company?" And so then we have to try to analyze it that way. And you know, on the other end, maybe it's totally unrelated and you have a manufacturing company and they have all these machines who are, you know, producing parts for all these different items. And they need to figure out, "Well, what's our yield? "How many defective parts are we creating? "You know, how many people do we have to staff "to be able to run these machines with minimal downtime?" Kind of different, really a wide variety of things like that. So sometimes the client comes to us and they say, "We have Tableau. We bought licenses for four years. "We don't really know how to use it though. "We don't know what we should be visualizing. "We have data from 18 different sources and we don't know "what the pull in." In that case we can help, but we have to use the tool that they have already implemented. So we would have to use Tableau. Other times, clients come to us and they say, "We think we have a lot of data. "We don't know what to do with it." Okay, for them then it's free reign for us. All right, what do we want to do? What tools do we think best fit the client needs? But there's definitely no one-tool-fits-all in terms of consulting because every client is so different. They're different in size. They're different in industry. They're different in their specific need and use case that you really just can't know one technology. You have to know a wide breadth of things. That way you can always come to them with something that will work.

Contents