Beyond the Arc

Beyond the Arc was hired by Johnson Controls, a company that manufactures and services equipment used in commercial buildings, to build customer churn models using machine learning. The company was discovered through Predictive Analytics World and was selected for their cultural fit and aligned company values. Beyond the Arc provided proof of concept churn models for two of Johnson Controls' lines of business in Global Services. They led numerous data discovery sessions and provided monthly lists of at-risk customers. The client was satisfied with the results and found the business context in machine learning valuable.

Beyond the Arc was also hired by a social networking site to train their vice president of business operations in predictive analytics with a specific focus on credit card fraud. The training was personalized and hands-on, with Beyond the Arc's team working on-site with the client. The training involved using IBM SPSS Modeler and focused on predicting which orders would want a refund and which users to decline upon hitting the submit button. The client found the software effective and appreciated the time saved from manual work. The overall initiative was valued at roughly half a million dollars and was expected to be completed in a few months.

In addition, Beyond the Arc was engaged by an international financial institution to analyze customer feedback data. The aim was to identify emerging issues and create a sustainable and repeatable process to address these issues. They were selected due to strong recommendations. Beyond the Arc's scope of work involved data staging, preparation, validation, and output in the form of reports or presentations. They used SAS and SPSS technologies for data analysis. The client found the work valuable and planned to continue the engagement, possibly expanding it in the future.