Whether large or small, businesses around the world possess a multitude of valuable datasets they’ve collected, purchased, and maintained over years of operation. Still, one of the biggest remaining challenges is the lack of data when it matters most. With Intricately’s Advanced Account Scoring dataset, go-to-market teams can build predictive models for the datasets deemed most valuable by the business.
Examples of valuable datasets include:
Account potential scores
Customer’s likelihood to churn
Prospect’s propensity to buy
Company size/employee count
In this post, we’ll provide a high-level walkthrough of how to build a simple model to predict a company’s revenue streams with Intricately data. Remember: This same process can be leveraged to predict any dataset being pursued by your team.
There are four steps involved in building a model:
Identify your Training Data
Merge your Training Data with Intricately’s Advanced Account Scoring dataset
Visualize the dataset for key insights
Train and select the model
Now, we’re ready to dive in. In our next post, join us for a walkthrough of how to build a Machine Learning model that predicts a company’s revenue by leveraging Intricately’s Advanced Account Scoring dataset.