It’s Here: The All New Enova Decisions Cloud

What a month May turned out to be for the fintech industry, and for Enova Decisions it was no exception. We’re back from FinovateSpring in San Francisco, where we announced the immediate availability of Enova Decisions Cloud. Enova decisions Cloud is our new software-as-a-service, designed to not only give more self-service decision management capabilities to mid-market finance and lending companies, but also to scale with their businesses.

Leveraging the scalability of the cloud and cutting-edge technology from partners like Sparkling Logic and Amazon Web Services, Enova Decisions Cloud is pre-integrated with many major solution providers, including ID Analytics and iovation, a TransUnion company. Best of all, it builds on all the decision management expertise and technology we’ve developed over the years, allowing our customers to successfully execute decisions while giving them more control than ever.

With Enova Decisions Cloud, businesses can:

• Access 3rd-party data they need, when they need it, without having to go through endless API data integrations.
• Upload and deploy machine learning models using any technique written in their language of choice (for example, R or Python).
• Auto retune and retrain their machine learning models based on decision outcomes.

By integrating our decision management technology with that of partners like Sparkling Logic into a cloud service, Enova Decisions Cloud allows finance and lending businesses to oversee the fine details of their decision algorithms without being overburdened by the complexity of what they’re designing.

Decision management that leveraging the power and scalability of the cloud? Schedule a demo here today.

Enova Decisions

About

Enova Decisions is an analytics and decision management technology company that was formed in 2016 to enable businesses in various industries, including financial services, healthcare, and telecommunications, to automate and optimize operational decisions, in real-time and at scale, through data, machine learning, and the cloud.