2018 NBA Playoffs as Seen Through Oracle Analytics Cloud

April 16, 2018 | 5 minute read
Chris Garcia
Director of Marketing
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The 2018 NBA playoffs have arrived. Did your favorite team make the cut? If not, maybe you can still enjoy the action by picking a couple of other teams to root for! I have spent part of this workday searching for NBA team stats so that I could create a few data visualizations I will share below.

Before we dive into those, I would like to for you to think about how data visualization could positively impact your day-to-day work. Do you create presentations that explain detailed metrics? Do you need to share analytical insights with peers across your organization? Are you capturing all of the business data from every corner of your enterprise? These are just a few considerations to ponder when dealing with data visualizations.

What does this have to do with the NBA playoffs? Data. Sports, like many other aspects of life rely on data. Did you see the score of the game last night? How many turnovers did that guy have? What’s their record on the road? All of these questions are answered by comparing the data. So…let’s check out the first round match-ups!

In the Eastern Conference, Toronto (1) takes on Washington (8), Boston (2) plays Milwaukee (7),  Philadelphia (3) will challenge Miami (6), and Cleveland (4) matches-up with Indiana (5). Let’s look at these contests.

As you can clearly see, Toronto has considerably more wins in every category except in the head-to-head match-up where they are tied with Washington. Boston also has more wins in every category than their opponent, Milwaukee. However, the home records are very similar and they split the direct match-ups during the season. Philadelphia versus Miami is following a familiar pattern with the 76ers besting the Heat. And then we get to the Cleveland and Indiana series where both teams are very similar except in direct competition where the Pacers have won three out of four.

Now let’s look at the Western Conference where Houston (1) faces Minnesota (8), Golden State (2) will play San Antonio (7), Portland (3) matches-up with New Orleans (6), and Oklahoma City (4) takes-on Utah (5).

The Houston and Minnesota match-up shouldn’t be much of one as the Timberwolves appear to be very large underdogs. The Golden State versus San Antonio series is interesting because San Antonio has such a good record at home but the Warriors have outplayed the Spurs in the head-to-head games. Portland versus New Orleans should be a good match-up as both teams appear to be similar with regard to wins. The same can be said for the Oklahoma City and Utah series but the Thunder lead three to one when playing the Jazz.

One of the most useful aspects of the data visualization feature in Oracle Analytics Cloud is the dynamic capabilities of the tool and the flexible ways you can view data. With just a few clicks, I can dramatically change the way I am seeing my data. This often leans to new, better, deeper undertakings.  Below are a few examples.

As I alluded to earlier, I used the data visualization functionality of Oracle Analytics Cloud to create all of these visualizations. It was a simple import from this spreadsheet and I was on my way!

I enjoy working with numbers and feel they are best understood when represented visually. This is especially true when you want to look at your situation from numerous dynamic viewpoints and uncover hidden knowledge.

I hope you found this blog informative and that you make use of the spreadsheet I attached above for your own NBA Playoff research. Better yet...sign-up for a trial version of Oracle Analytics Cloud and create your own visualizations! Also... be sure to visit our website and take one of our quick tours or try the data visualization simulator. You can also find more resources on our customized content page.

Also, for current Oracle Analytics Cloud customers using Data Visualization, be sure to visit the Oracle Analytics Library and download sample files to take your analytics to a new level.

Chris Garcia

Director of Marketing

20 years experience in the technology vertical with emphasis on marketing, product, brand, social, digital, blogging, messaging, positioning, demand, event, and communications.

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