What if there was a Tableau tool that did for the future what Tableau did for the past and present?
Tableau has taken enterprises by storm in a sweeping fashion. Their value proposition can probably be understood by most in a matter of minutes. People know the value of data and the insights you can gather from it; consequently, they know that if you had a tool that made it easy to extract this information, it would be very valuable. Companies are now reaping the benefits of being powered by Tableau analytics, and are better able to understand their business through the patterns and trends of their history. The old adage, “history tends to repeat itself,” holds water; hence the importance of knowing and understanding what has happened with your business in the past. That said, I believe there is a saying which even more business leaders find themselves saying, hearing, and thinking: “hindsight is 20/20.”
Actually, there is a caveat here. The reason people say this is because there is an assumption that when looking back into the past, you can see and understand all the moving pieces, and what actually transpired. This statement is really only valid if you can take a good look at the past. I guess Tableau can claim that they are the magnifying glass which allows you to take that good look. Without it, the past can be murky. The purpose behind all this is obviously to learn from one’s mistakes, and course-correct if needed. This is the real value of perfect vision hindsight: learning from your mistakes.
At Ople, we believe that you can take this entire line of thinking and apply it in a slightly different manner. Wouldn’t it be great to have a Tableau tool that dramatically increases the value and power of your analytics dashboard? Ople’s AI platform allows non-technical analysts and BI users to easily, and automatically, build machine learning models with the touch of a button, on any dataset they have.
Our focus on these users is intended to solve a massive demand that is not, and will not, otherwise be met. People in many departments including sales, marketing, and logistics do not usually have their own data scientists, and most times cannot attract the right talent. This puts these people in a position of dependency on a centralized data science team to solve their problems. Right about now, I imagine half the readers are rolling their eyes, thinking: “Yeah right, like they would actually help us”. The problem is that centralized data science teams are overwhelmed with requests from the entire organization, and will always be backed up ad infinitum. So, inevitably, you will end up with frustrations everywhere. The second problem is that even when you are able to get the attention of the data science team, they do not understand your business as well as you; compounding on this is the low communication between teams with the various departments not understanding what the data scientists actually did for them. This causes projects to take considerably longer than necessary and increases the probability that projects end up creating little to no value. For these reasons, and more, Ople decided to put the machine learning/AI power in the hands of the people that understand their business and their data. Now the same team can own the data, formulate questions and identify business needs, and use AI to answer those questions and provide insight into their business.
What are these needs I keep referring to? Forecasting the future of their business. The most common use of machine learning is to build predictive models. Now imagine your team of business/data analysts could click a button, and build a model that predicts future trends, and easily embed that directly into your Tableau Analytics dashboard. This means you will be able to see the future as easily and clearly as you currently see the past and present. What does this mean for your business? No more lamenting that hindsight is 20/20. Now, with Ople as your Tableau tool, your foresight will be 20/20.