Building Models with Advanced Account Scoring Dataset

Go-to-market teams can use HG Cloud Dynamics to build predictive models for the datasets most valuable by the business.

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 HG Cloud Dynamics 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:

• Lead scores

• Account potential scores

• Customer’s likelihood to churn

• Prospect’s propensity to buy

• Company revenue

• Company size/employee count

• Geographical location

Here's a high-level walkthrough of how to build a simple model to predict a company’s revenue streams with HG Cloud Dynamics's data. Remember: This same process can be leveraged to predict any dataset.

There are four steps involved in building a model:

1. Identify your Training Data

2. Merge your Training Data with HG Cloud Dynamics's Advanced Account Scoring dataset

3. Visualize the dataset for key insights

4. Train and select the model