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ATi's success spans a range of clients in many industries:

  • Healthcare
  • Finance
  • Education
  • Government
  • Retail
  • Insurance
  • Consumer Goods
  • Manufacturing
  • Professional Services
  • Marketing Services
  • Call Center
  • Technology

Our customized solutions help business leaders in each of these industries to address internal and external challenges to achieve their strategic and business goals.

ATi is responsive and resolute in helping every client identify key opportunities and in meeting their challenges. We achieve this by becoming an extended member of their strategy team. We are a partner and advisor who understand the complexities of our clients' internal and external business environments.

Whether using ATi predictive analytics and business intelligence solutions for creating profiles, predicting employee or customer behaviors, identifying risks, monitoring trends or forecasting actions or events, the ATi solution is comprehensive and customized to all types of organizational needs. We provide tangible, quantifiable results.

Our clients all have tremendous success stories. The case studies below showcase the superior results that are representative of our clients' experiences.

 

CLIENT CASE IN POINT:

United States Navy

FASTER. The United States Navy needed answers on demand, with immediate analysis to help justify their training investments and accurately measure the impact of the training dollars spent.

BETTER. Typical of most large organizations with vast datasets, the U.S. Navy was challenged to use all available information to make better decisions and manage their resources more effectively. They needed answers to help justify their training investments and accurately measure the impact of the training dollars spent.

RESULTS: The U.S. Navy uses ATi's SMART360 solution to answer these questions and to effectively manage their training investments for maximum impact. The Navy has realized superior training results with reduced spending and improved individual performance . ATi was asked to help assess the data and use predictive analytics to provide actionable intelligence in understanding:

  • Is the training used effective?
  • How can training be personalized for greater ROI?
  • Who needs training and what training should they take?
  • What results can be anticipated when training is completed?
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