By

Tanya
Many analysis projects involve data that is not stored in a database or easily accessible directly through Tableau. In some cases, clients have disparate Excel sheets that require cleansing or some amount of manipulation before importing into Tableau. The client may send updated data often, which requires re-running scripts, updating the data manually in Tableau...
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If your organization uses Salesforce.com to track all of your sales leads, contacts, and opportunities, then you’re probably familiar with its forecasting capabilities. As opportunities move through the sales cycle, the probability to close tends to increase. Here’s a chart showing typical winning probabilities for each stage. For example, every lead that comes into the...
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With Valentine’s Day around the corner, it’s probably time we approach the topic of intimacy. No, not that intimacy. Data intimacy. Recently, we were working on a project to determine the feasibility of developing a data platform for our client. The first pass through the data involved some data clouds and trend spotting across topical...
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Update: Click here to view the Strata presentation video covering this topic. Most people will agree that interviewing is one of the most difficult and least enjoyable professional activities in which we engage. Given the recent demand for data analytics and data scientist skills, it has become an increasingly daunting task for managers to adequately...
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In the startup world, “unicorn” is a term used to describe a startup that grows quickly to achieve a one billion dollar or greater valuation. In data science, the term means something else. You’ll often hear hiring managers bemoan the fact that they cannot find a data specialist who can do everything: mine data, write...
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It’s the first week back to work after the holidays. People are announcing personal goals for the year and New Year’s resolutions. It’s also a good time to apply that same reflective approach towards the health of your company or organization. Most large companies have a few good data people. They’re usually the ones that...
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Garbage in, garbage out. That’s a top ten comment from data professionals. Why bother spending time extracting data if you know it wasn’t captured well or organized correctly in the first place? At TCB Analytics, we believe the exercise of working with data is a valuable business process even if the data itself isn’t tested...
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Everyone’s excited about the newly released NBA player movement data that’s been released – at least I am. I stumbled across this post which shows how to visualize player movement data in Python, but I wanted to figure out how to do the same in R. We’ll use a combination of several R packages including...
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