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Eliminate the Uncertainty From Your Critical Business Decisions!
Speak to us today for our data-driven business consulting services. We specialize in Feature importance Analysis (FIA).
Why Feature Importance Analysis?
Top-performing businesses don’t leave critical decisions to chance. They:
- Clearly define and rank their key objectives.
- Systematically identify and rank the data features that impact those objectives.
- Base decisions on the features that have the highest impact on their key objective.
While smaller companies might rely on basic analysis, larger organizations need a robust, statistically verified framework to avoid costly missteps.
That’s where we come in!
why choose us?
While others dabble in all kinds of analytics, we’ve made a deliberate choice to specialize in feature importance analysis. Our rationale is simple, it’s an extremely effective method which is often overlooked because people tend make things harder than they need to be. If you have data, and you have one very specific goal that you want to accomplish with that data, then it’s only logical to need to know how each column of that data (alone, or in combination with other columns) affects your goal. That is, at it’s core, what Feature Importance Analysis is.
We don’t just use our fancy machine learning models to do the work, we also create state-of-the-art visualizations and reports. It isn’t uncommon for a well-placed stacked bar chart, or pie chart to give insights that are more effective than our fancy models (that isn’t a dig at our models though). Machine learning models are great at finding the importance between data columns with non-linear relationships, but a visualization is often more effective at showing linear relations (like, when the weather is cold, ice cream sales plummet).
Does My Company Need Feature Importance Analysis?
- Do you have data?
- Do you have a very specific goal you want that data to help you accomplish?
- Is that goal important enough that you NEED to make sure that you have all available insights before you make decisions on it.
- Do you already know how each column in that data affects your goal?
- Do you already know how each column, in combination with the other columns, of that data affects your goal?
If you answered no to the red ones, then you could probably benefit from Feature Importance Analysis.