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Creating Collections Superpowers: Using Predictive analytics to maximize payments and build brand-defining experiences

EBOOK

Creating Collections Superpowers:
Using predictive analytics to maximize payments and build brand-defining experiences

How to Take Your Collections Team From Hero to Superhero.

With increasing pressure on collections strategies to handle increased volume, mitigate losses, and provide brand-building experiences, financial services organizations are looking for tools to help collections teams drive engagement and improve efficiency. In our latest ebook, we explore how predictive analytics can help your business to:

  • Predict risk earlier
  • Create more personalized treatment options
  • Power effective and efficient collections strategies

Download the ebook today to discover the 7 areas where predictive analytics can provide rapid and measurable improvements that empower your business to build brand loyalty and, in turn, lower loan loss reserves. Plus, if you’re looking to advance your collections strategies, we cover the three requirements you should look for in technology to see ROI in record time.

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A Microservices Architecture in Financial Services

WHITEPAPER

A Microservices Architecture
in Financial Services

Is your financial institution making the move to microservices?

e Microservices concept presents itself as the fulfillment of Service Oriented Architecture’s (SOA) loosely coupled promise – the answer to your development woes. Is it really a silver bullet, or should we tread cautiously?

This nine-page overview of microservices illuminates the architectural concept through the perspective of its:

  • Context
  • Advantages
  • Challenges

Download the whitepaper to gain a foundational understanding of the architectural trend in the financial services industry, and to pick up a stellar visual comparison of Microservices vs. Monolith from page 3.

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CRO’s Guide to Machine Learning

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CRO’s Guide to Machine Learning

Speak ‘Machine Learning’

As Chief Risk Officer, your job is not to know the ins and outs of Machine Learning. Your job is to responsibly manage risk.

However, according to McKinsey, Machine Learning “improves the accuracy of risk models by identifying complex, nonlinear patterns in large data sets” and it is one of the top trends in risk management1.  So, you should probably understand the basics.

This paper guides you through the technical foundation of Machine Learning — not why you should leverage it’s power, but how it works. You’ll gather key talking points to kickstart ML initiatives in your organization.

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Data Science in Financial Services: A Guide for the Modern Chief Risk Officer

WHITEPAPER

Data Science in Financial Services:
A Guide for the Modern Chief Risk Officer

With digitization sweeping through the financial services industry, the role of the chief risk officer is changing quickly. Why? Because new types of risks, increasing consumer demands, and growing competition make the financial landscape much more complex.

What does this mean for the CRO? It means that they need to find new ways to assess risk in this rapidly evolving market: Enter data science.

This whitepaper is the ultimate resource for any financial services leader who wants to learn more about how to successfully integrate data science solutions into their risk strategy. Download the whitepaper today to learn:

  • What data science is
  • The role it can play in reducing risk
  • How to overcome common data science challenges
  • How to get the most business value from any data science project


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