A week ago, I took my forecasting time series data quiz for the first time as part of a larger data management conference. This was a wonderful way to get to know some of the other panelists, as well as one-on-one question time with the lead author of our modeling tool. My takeaway from the session was a lesson in patience and self-discipline. It is very easy to become over confident in one’s ability to interpret numbers, causing us to make decisions without fully understanding all the consequences. In this case, the most obvious answer was right – but perhaps this should be said more explicitly: If you are reading your Data Management team’s forecasts and projections based on past performance, then don’t be overly excited about what they predict for the future – you are still relying on the same process to do your predicting!
By asking the Data Management team how their forecast came to be, I learned a lot more about the forecasting process itself. There were many parts to the process that I hadn’t been paying attention to during my training. And once I dug deeper, I realized that I was actually ahead of the curve and doing the forecasting process correctly.
So, what I mean by forecasting differently is this. To better understand what I mean by forecasting differently, imagine that there are two teams who are building a model together. They each put out a forecast, which they call a Beta model. The Beta model is not meant to be predictive; it is designed to give the team a general idea of what the final model will look like. So what do we have here? Two possible forecasting models!
Now, the model on the left is what the Data Management team calls “The Ultimate Predictor”, which they assume will do everything correctly. This is the model that they are using during all the process. The model on the right is what the team is calling “The Portable Predictor”, which they use at points during the model run. Each team member is asked to run their own version of each model, with the data they have collected. The data they collect are taken from the earlier model run, along with any changes made during the process.
So, now we have two possible forecasting methods running simultaneously. Which one do you think would win in a head to head contest, or a football game? In most cases, the portable model would win every time. And that is why you should take my forecasting time series data quiz for me.
As an investor in the oil and gas business, I am always looking for new ways to make my investments more profitable. And when it comes to forecasting, I have found that this method is the most accurate, while still being very efficient. So, if you want to know how to take my forecasting time series data quiz for me, this is the method for you to try.
It will take about 30 minutes of your time to answer all of the questions. The best part is that it is completely confidential, and you will never be asked for personal information by the system. That means that it is perfect for large corporations and banks, as well as anyone who is interested in trying to predict market activity. Now, don’t take my word for it, but if you really want to take advantage of the forecasting method, then you may as well learn how to take my Quiz for Me.