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Make intelligent banking transformation decisions with data and advanced analytics.

Resource Optimization Driven by Advanced Analytics

Data and advanced analytics are more critical for successful banking transformation than ever given the dynamics of consumer behaviors, technology, and regulation. Applications of advanced analytics in retail banking range from risk management, CRM, and portfolio optimization to resource optimization.

Kiran’s advanced analytics software and services are specifically developed for financial institutions to optimize their resources and improve their business processes.

Advanced Analytics Capabilities

Kiran’s advanced analytics solutions includes both predictive and prescriptive analytics.

Predictive analytics involves a variety of statistical techniques for extracting information from data, building predictive models, validating assumptions, and using the models to predict trends and patterns.

Prescriptive Analytics is a form of advanced analytics which examines data to answer the question “What should be done?” by applying techniques such as graph analysis, simulation, heuristics, and machine learning.

Data Science and Banking Subject Matter Expertise Combined

Kiran’s advanced analytics solutions are developed and delivered by PhD level data scientists who are also subject-matter experts in retail banking and workforce management.

So, the experts responsible for the “math” are also able to provide industry/process-specific context for what the patterns identified by the algorithms and models mean in your data.

The benefit to your bank is better and faster decisions.

Related Resources

Advanced Analytics
for Retail Banking

Branch Transformation
with Predictive Analytics

Workforce Analytics
in Retail Banking