Break down decisioning silos — bringing together data, events, and insight from across the enterprise and beyond — to drive consistent closed-loop decisioning
Developing great models is just one part of the data science challenge, pulling together data from various sources, exploring it with diverse techniques. The second part of the challenge — once the logic is defined — is executing those decisions. This means maintaining and storing the necessary combination of historical insight and up-to-the-second transactions and aggregations, so models can be run against a smart “feature store” — at speed and at scale — an array of insight — of business and customer data — always consistent, always fresh.
The Ab Initio decision automation platform processes vast amounts of data in milliseconds, automating the end-to-end process and providing a foundation on which to run the most demanding decisioning logic, enterprise-wide, in real time. This includes closing the loop so that the models can be automatically refined and evaluated (what is working? why?), as the impact of each decision is fed back into the platform, in order to find and deploy new insight.
A rapidly growing major bank needed to implement real-time response for millions of customers. The only problem was how.
Encouraging customers to take advantage of the bank’s multiple product offerings was a great idea at the time — customers could have a variety of accounts.
The fact that these accounts were handled through separate business units was initially a minor detail, necessitated by the available technology. As the bank grew, this minor detail became a major issue. The bank was managing millions of accounts and didn’t know which business units customers were working with. A customer might have accounts in multiple business units or only in one.
Lucrative marketing and cross-selling opportunities were evaporating daily because the bank did not know who had which products. Customers calling about problems might have to deal with multiple people to solve the same problem across business units. The bank was losing increasing volumes of customer interactions, rather than mining them for potentially valuable information.
The bank realized that it was time to take action. The plan was simple:
The bank looked at many technologies, but only one company could meet all their business needs: Ab Initio.
Using Ab Initio’s powerful event processing capabilities, the bank implemented a system that could store and access in near real-time over a billion customer transactions, adding millions of new transactions daily. New customer interactions were available for query almost instantaneously. Customer problems could be dealt with quickly, without making the customer speak to multiple business units. Automatic lead generation enabled the bank to pursue marketing opportunities immediately, rather than days or weeks after the event.
Real-time responses and happy customers, all thanks to Ab Initio!