What is InDebted’s Data Lake
InDebted’s Data Lake stores all global customer insights, providing a central library for our machine learning and AI models to learn from.
What data is stored in InDebted’s Data Lake?
Our Data Lake securely stores insights. Think of an insight as customer interactions, for example the time that a particular customer opened an email, or the payment method they used to resolve their debt. Insights from customers around the world are stored in our Data Lake.
What does the Data Lake do?
InDebted’s Data Lake is essentially our secret sauce. It’s the intelligence that powers our machine learning and AI models to carry out targeted actions that create a positive, high performing, collections experience.
When a new account is referred to Collect, machine learning models will analyse the Data Lake to determine each action. They will look at the behaviour and engagement of similar accounts, to maximise the conversion rate at every opportunity. This includes specifics such as the time a message is sent, the channel the message is delivered to, the call to action and more.
What are the advantages of InDebted’s Data Lake?
- Powers technology to get smarter with every interaction
With every new insight added to our Data Lake, our technology gets more intelligent. This is because our machine learning and AI models have a wider pool to learn from, enabling targeted actions that hit the mark with customers.
- Enables businesses to personalise collections strategy from the get go
Unlike non-digital collections agencies, new InDebted partners benefit from our Data Lake from the start. With worldwide insights from a range of industries and account types, new partners can leverage these learnings to create a targeted collections strategy from the very first account referral.
- Global insights proprietary to InDebted
Our Data Lake belongs to InDebted as opposed to Collect. This means that all InDebted’s present and future solutions can learn from our Data Lake, powering intelligence across all our services.
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