See how BD Performing Arts saved $180K with AI. Read the case study.
See how BD Performing Arts saved $180K with AI. Read the case study.
Smart data analytics for smarter financial decisions.
– Vishnu Sundaram
SVP, Growth Marketing, C2FO
Corporate and commercial banking generates $2.3 trillion in revenues. With the change in the technology landscape, however, the needs of this sector have also evolved. Customers today are looking for a personalized approach to banking drawn from a wider array of services—including transactional, fee-based services such as digital, real-time payments, and beyond-banking features like spend analytics and granular liquidity and cash forecasting. This shift means data has become an asset that holds the key to unlocking insights and driving strategic decision-making.
Redefine banking with data-driven solutions.
Boosting business success together.
Marketing analytics in banking transforms raw customer data into actionable insights. These insights enable financial institutions to tailor their marketing strategies effectively, enhance customer engagement, and drive sustainable growth in a highly competitive landscape.
Portfolio analytics in banking optimizes investment decisions and risk management strategies. It leverages data-driven insights to create well-balanced portfolios, enhance profitability, and ensure financial stability in an ever-changing market environment.
Risk and regulatory compliance are the cornerstones of stable banking operations. Meticulous analysis and adherence to stringent regulations are pivotal to ensuring financial institutions navigate challenges securely and maintain the trust of their clients and stakeholders.
Operations analytics in banking revolutionizes efficiency, pinpointing operational bottlenecks and inefficiencies, enabling streamlined processes, cost savings, and superior customer service. This approach ensures financial institutions operate at peak performance levels.
Customer experience analytics in banking crafts personalized journeys, harnessing data insights to anticipate client needs, enhance service quality, and foster lasting relationships. This helps ensure that every interaction is meaningful and memorable for customers in the dynamic world of banking.
Financial services companies use a wide range of analytics to meet their business goals. For example, improving costs associated with customer service, reducing risks when providing loans, fraud detection or investment analysis.
AI is used for a wide range of purposes in banking and financial services in general. These include fraud detection, investment or trade analysis, and customer acquisition.
Predictive analytics allow banks to be better able to predict and set rates for CDs, improve investments in small business or real estate, improve and reduce default rates for loans.
Rahul Nawab is a seasoned data and AI leader with deep expertise in financial services and insurance. As the President of Data & AI at Prowess, he brings 20+ years of experience in data analytics, AI enablement, business strategy, and customer engagement. Rahul has led cross-functional teams and large-scale initiatives across retail banking, risk modeling, and customer experience, driving measurable outcomes for organizations globally.
His background in market research, CRM, and customer engagement models—combined with a proven ability to foster collaboration with senior stakeholders, partners, and regulators—makes him a trusted advisor for businesses navigating digital transformation.
Results-driven analytics professional with 15+ years of experience delivering AI and analytics solutions to drive business growth across the financial services industry. Proven track record of leading high-impact analytics initiatives that enhance decision-making, optimize performance, and unlock new revenue opportunities. Played a leadership role at EXL, managing multiple large and small accounts. Adept at transforming complex data into actionable insights and fostering client partnerships.
Nishit Mehta is a seasoned data and AI leader with deep expertise in technology consulting, analytics, and digital transformation. As the Managing Director and India Head at Prowess Consulting LLC, he brings 16+ years of experience in data analytics, AI enablement, business strategy, and organizational leadership. Nishit has led cross-functional teams and large-scale initiatives across enterprise technology, advanced analytics, and generative AI implementation, driving measurable outcomes for organizations globally.
His background in enterprise data management, machine learning, and digital transformation strategies a proven ability to foster collaboration with stakeholders, technology partners, and global teams makes him a trusted advisor for businesses navigating AI-driven growth and innovation in today’s rapidly evolving technological landscape.
As founder and CEO of Prowess, Aaron Suzuki has led the organization to become a thriving business filling the important space between technology development and marketing teams with technology, applications, content, and analytics.
Aaron was also the founder and CEO of SmartDeploy, a Seattle-based IT management software company. SmartDeploy simplified the secure configuration and management of business computing endpoints for thousands of customers globally.
Earlier in his career, Aaron served as Director of Business Development at Entirenet, a Seattle-based technical services firm. Before moving to Seattle, Aaron was President of Inetz Media Group, a web application development company based in Salt Lake City.
Aaron holds a B.S. from Brigham Young University and a M.S. from the University of Iowa. An avid cyclist and passionate skier, he also serves on the Board of Directors of Blue Devils Performing Arts, a youth performing arts non-profit.
