We believe that it's important to keep our clients updated on the progress of the project. Different stages of the process have been discussed.
Understanding what the firm would like to do better or the issue it wants fixed is the first step in the business analytics process.
Cleaning the data, computing for missing data, eliminating outliers, and combining variables to create new variables are all part of this stage.
At this stage, we will identify every element that is connected to the target variable using statistical analysis techniques.
At this point, using managers' aims as our guide, we will apply the predictive model coefficients and results to conduct "what-if" scenarios.
Finally, the decision and action's outcomes as well as any fresh model-derived insights are recorded and updated in the database.
Here are some of the most important usages of business analytics users should have.