HEALTHCARE INDUSTRY - Healthcare Provider Case Study

Challenge: DxCG, the USA 's leading provider of health care risk models, uses actuarial analysis programs to predict risk. This approach allowed for high risk policyholders to slip through, exposing the healthcare providers to excessive risk. DxCG needed a solution to better predict which individuals could be classified into the top 0.5% of the most likely to lead to high medical costs.

Results: ATi empowered DxCG senior management to improve predictions with 53% accuracy. The use of an intelligence search provided the company had a direct impact on DxCG's bottom line - a net savings over $11 million. (download PDF)

RETAIL INDUSTRY - Grocery Retailer Case Study

Challenge: A leading grocery chain needed an analytics solution that could provide a deeper and actionable analysis of their customer data. Data existed within silos throughout the organization hindering its use to make effective customer value management decisions.

Results: In only eight weeks, ATi significantly improved customer segmentation and increased the accuracy of customer behavior predictions by 15%. By turning data into Intelligent Information , the client saved millions of dollars in misguided expansion plans by truly understanding the shopping requirements of their customer base. (download PDF)

INSURANCE INDUSTRY - Insurance Provider Case Study

Challenge: A premier international insurance provider sought to increase customer value through more precise target marketing. Traditional practice did not leverage cross-selling opportunities and the company was unable to meet even modest sales goals.

Results: ATi created rich, actionable profiles to effectively predict customer behavior in the right target segments. ATi identified those who were most likely to purchase a given type of policy. The client realized a 26% improvement in target marketing over best practices previously used. Sales increased and most importantly, so did customer loyalty.
(download PDF)

FINANCIAL INDUSTRY - Financial Case Study

Challenge: Pipeline Financial seeks a solution to translate a trader's decision into optimal performance through an engine that selects the most advantageous algorithm and execution style to meet the trader's constraints based on current market conditions. Traditionally, trades leverage a single algorithm as a static choice.

Results: ATi partnered with Pipeline Financial to develop Pipeline's Algorithm Switching Engine TM . The solution optimizes traders' decisions by switching the trade into the best-suited algorithm, monitoring the state of the market and automatically switching algorithms as needed to achieve best execution. Dynamic switching corrects the inefficiencies associated with a static choice of a single algorithm and results in a 30% observed reduction in implementation shortfall for orders large enough to live through significant variations in market conditions. (download PDF)