APT Presents at Singapore FinTech Festival 2017

November 17, 2017

SINGAPORE – Leading analytics software company Applied Predictive Technologies (APT) today announced that Scott Setrakian, Managing Director, presented during the Singapore FinTech Festival 2017, which took place this week.

The event featured a variety of discussions, presentations, and demos, with attendees including technology companies, investors, financial institutions, and more. Setrakian spoke on November 14 about the application of the scientific method to business problems – what he called the “gold standard” of analytics.

“In Fintech, many leading organizations are discovering the power of a test vs. control approach to evaluate new, innovative programs,” Setrakian said. “However, they are also discovering that using the scientific method to unlock accurate, optimal insights poses complex analytical challenges. The challenges of accuracy, consistency, and speed can be answered through scientific test design and segmentation capabilities, as well as large, integrated datasets.”

Setrakian has over 20 years of experience advising many of the world’s largest and most successful companies. His work focuses on the development and implementation of strategies and processes that lead to significant improvements in profitability and corporate value. He has led engagements in over 20 countries on six continents.

About APT

APT, a Mastercard Company, is a leading analytics software company that enables organizations to rapidly and precisely measure cause-and-effect relationships between business initiatives and outcomes to generate economic value. Our intuitive and proprietary Test & Learn® software utilizes sophisticated algorithms to analyze large amounts of data, enabling business leaders to conduct experiments and allowing them to make optimal decisions and implement business initiatives at scale. APT also offers products that support decision-making for specific business needs, including transaction analysis, space planning, promotion design, category management and location selection.