Intelligence Suite Starter Kit

Deepen your knowledge about today and create accurate predictions for tomorrow, all without having to write code or get a data-science degree. Use this starter kit to learn how to quickly and easily predict outcomes based on past data, or mine finicky long-form text for high-impact insights. The power of machine learning is officially yours.

Starter Kit Features

RETAIL: UNCOVER EMOTIONS AND IDEAS IN CUSTOMER FEEDBACK

Discover how to perform sentiment analysis on product reviews to characterize positive and negative buyer experiences. Leverage topic modeling to reveal common feedback themes and understand the voice of your customer at scale.

 

HUMAN RESOURCES: PREDICT EMPLOYEE TURNOVER

Use Assisted Modeling to walk through creating a model that predicts which employees are most at risk of resigning based on past data. Assess your model’s predictive performance with drag-and-drop model evaluation assets, including a confusion matrix and a prediction report.

 

MARKETING: PREDICT CAMPAIGN RESPONSE OF NEW CUSTOMERS

Use Assisted Modeling to walk through creating a model that predicts which customers are most likely to respond to a marketing promotion based on past data. Then apply your predictive model to a new list of new customers to discover which are the best targets for future marketing efforts.

 

OFFICE OF FINANCE: AUTOMATICALLY FLAG INVOICES FOR REVIEW

Use Assisted Modeling to walk through creating a model that predicts which future invoices will likely have errors based on past data. Then use Image to Text to read in a collection of scanned invoices and discover which get flagged by your model for high risk of errors.

 

RECRUITING: AUTOMATICALLY RANK RESUMES FOR FURTHER EVALUATION

Use Assisted Modeling to create a model predicting success likelihood based on past data. Then use Image to Text to read in candidate resumes and spatial tools to enrich your data set with location information. Finally, discover how your model ranks these resumes by likelihood of high performance.

 

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