Industry Reinvigorated: Financial Services

Making money smarter

Hidden influences impact risks and relationships

Industry Reinvigorated: Financial Services

Making money smarter

Hidden influences impact risks and relationships

Advanced Analytics in financial services

Finance organizations across the globe are seeing the potential benefits that artificial intelligence and the use of analytic tools can bring. Machine learning can help financial institutions make smarter decisions quicker than they ever have. And because of the massive amounts of data generated in the financial world, from market trends to customer portfolio records, banks and finance firms are able to use that surplus of data is the key to unlock better outcomes and lower operating costs.


Risk Management

Almost every financial decision requires some level of risk. For years, financial services knowledge workers had to rely on simple calculations and human judgment when making multi-million dollar decisions. Now, the Snowflake Cloud Data Platform can render advanced analytics for extremely large data pools and spot that which is important exponentially faster.

Learn About ‘Data’s Evolution in the Cloud: Financial Services’ Long-Time Advantage.’



Fraud Detection

As our world becomes more and more digitized, cyber-security is of a greater concern than ever.  Good data sets can help machine learning programs more carefully watch and more consistently detect true cyber-attacks, reducing the number of false hits and minimizing potential losses.

Real Estate

Customer Satisfaction

Any commercial real estate company would say that a positive tenant experience is one of their top priorities, and digital additions to their locations are some of the best technologies available. AI can assist residents in any way from easing the process of booking meeting rooms to generating reports on the how and why of time people spend shopping to investors make more informed leasing decisions.


Capital Markets

Revenue Generation

As machine learning improves banking systems, the statisticians who currently create trading algorithms and search for profitable opportunities will be replaced. The computers will then create investment strategies and handle financial planning, while human capital is freed up work on improving the model while simultaneously spending more time in areas such as client relations.

How Dayton Analytics can help

We help harness the power of artificial intelligence, drive digital transformation and build digital teams via our future of work approach to knowledge worker alignment.

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