You can learn a lot about your business analytics strategy by testing out the tools on readily-available data. This time around, we'll use information from the British Open and run it through Oracle Analytics Cloud to glean valuable insight and take a few practice swings at an analytics tool for the modern business manager.
Outside of the United States, the one men's golf championship that counts the most is the one happening this week at the Carnoustie Golf Links in Angus, Scotland. Indeed, the British Open is where it all started. The oldest major. The original. The Claret Jug is one of the most iconic trophies in all of sports.
As a golf nut, I am looking forward to Sunday, July 22 as it is a tradition for the whole family to watch the final round. Furthermore, I am excited to create my fantasy team for this event and watch my picks play their hearts out! But who should I pick? Who has had the most success at The British Open? Who will make the cut?
As a numbers guy, I naturally turn to statistics, metrics, and data to help me decide. This year, I am relying on numbers I found that focuses on past leaderboards. From there, I created a spreadsheet of the players expected to show up at Carnoustie. I then uploaded this information to Oracle Analytics Cloud and began to create some data visualizations.
This is how I typically make my decisions for my fantasy golf team. The same can be applied to most questions in the business world. How are my sales? Did that marketing plan work? Will I be able to hire more people? All of these important questions can be answered through analytics.
Back to golf… the first thing I want to know is which golfers have had the most success making the cut over the past ten years? This is important because if a player isn't golfing on Saturday or Sunday, they can't contribute to my fantasy team score. So…after I upload my spreadsheet into Oracle Analytics Cloud, I use the filter function to only show me rounds one and two.
One item of note. Because my spreadsheet uses raw information from The Open website, I had to replace designations for situations such as disqualification with a numerical value. For example, I replaced "M/C" (missed cut) with 73 since only the top 72 and ties will make the cut.
Next, I would like to understand who has the best finishes on average over the past ten years? This is critical because fantasy points are directly related to how well a golfer is playing. Using the same data set in Oracle Analytics Cloud, I simply focus on the best finishers.
Finally, I would like to identify the best of the best. The players who average 72 or less in each round and see their total number of strokes taken in the last ten years. This data is not easily apparent in any spreadsheet as it relies on several filters and then an aggregate total from several data points. These players are certainly "needles in a haystack". So…I leverage Oracle Analytics Cloud to make this happen.
As you can see, using data visualization can help you make informed decisions, quickly! This is the value of Oracle Analytics Cloud…deep insights obtained in a very easy, quick manner.
I hope you found this blog informative and that you make use of the spreadsheet I attached above. To see how easy it is to use data visualization, here is a link to download the software. Better yet... sign-up for a trial version of Oracle Autonomous Analytics Cloud. Lastly, for current Oracle Analytics customers using Data Visualization, be sure to visit the Oracle Analytics Library and download sample files to take your analytics to a new level.