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Industry: Decisioning

Unleash the Power of Risk Analytics Within Your Salesforce Environment

ON-DEMAND WEBINAR

Unleash the Power of Risk Analytics
Within Your Salesforce Environment

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In this 30-minute, on-demand webinar you will learn how you can use Salesforce in your risk strategy. It shows you just how east it is to leverage the customer management power of Salesforce while gaining speed and agility in your decisioning workflows.

This live discussion demonstrates how you can:

  • Automate complex analytics and decisioning processes from your Salesforce environment.
  • Pair sophisticated intelligence and risk analytics with Salesforce for simply predictive cross-sell and upsell campaigns.
  • Integrate various structured and unstructured data sources with your Salesforce environment to create a powerful risk strategy ecosystem.
  • Keep a single set of integrated data across systems to avoid duplication or compliance concerns and to capitalize on real-time risk processes.


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Digital Panel: FinTech and Covid19 – Supporting Rapid Access to Credit

ON-DEMAND WEBINAR

Digital Panel:
Fintech and Covid-19 – Supporting Rapid Access to Credit

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Watch our video panel as industry experts from leading North American FinTechs come together to discuss the practical steps businesses can take to manage risk while supporting clients throughout the Covid-19 pandemic.

From risk strategy updates to technical changes, in this knowledge sharing online event panelists from PayPal, Sofi, and Chime discussed the rapidly evolving risk challenges and shared their insights on how FinTechs can adapt to ensure both businesses and consumers have rapid and easy access to financial services both during and after the crises.

Speakers:

  • Aaron Plante

    GM Lending, Chime

  • Adam Colclasure

    Sr. Director, Risk Infrastructure, SoFi

  • Vishlesha Patil

    Director of Product Management, PayPal

Moderator:

Dominic Schaffer

Sales, Provenir


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Accelerate Application Delivery with Provenir’s Unified Cloud Solution

GUIDE

Accelerate Application Delivery
with Provenir’s Unified Cloud Solution

While the decision to take advantage of the cloud may be an easy one, choosing the right cloud implementation is not so simple.

Companies need a cloud environment that offers a robust set of tools and features to support business agility, flexibility, security and growth.

Provenir offers a highly flexible environment, with multiple options for Platform as a Service (PaaS) and managing application business logic. This flexibility lets you choose an implementation that best suits your needs while reaping the advantages of an agile, business-focused cloud environment.

The heart of Provenir is the Provenir risk analytics and decisioning Platform, which has been providing innovative analytics and decisioning, integration and orchestration capabilities for more than 15 years. By combining the power of the Provenir Platform with Amazon Web Services, Provenir Cloud delivers the ideal environment for developing, testing and deploying new applications that help you gain the competitive advantage.

  • Achieve business flexibility. Choose from three PaaS models and two models for managing business logic to best accommodate your business and budget requirements.
  • Ensure uptime. Meet your SLAs with a minimum of fault tolerance to 99.5%. Provenir Cloud offers an option for guaranteed 99.95% fault tolerance.
  • Support enterprise growth. Precisely manage load with the ability to manually or automatically scale up or down on demand.
  • Maintain security.  Keep business logic, data and resources secure with Provenir Cloud’s extensive set of security capabilities.
  • Simplify maintenance. Efficiently manage your cloud environment using the one-stop Provenir Cloud Portal.

“The Provenir solution is an important element in this transformation. We’re pleased with how quickly we’ve been able to develop an end-to-end efficient workflow; the interface is so visual that it is simple to design effective, transparent business processes.”

Agur Jõgi, Chief Technology Officer, Bigbank

Provenir Cloud Key Features

Options for PaaS Models

  • Complete cloud maintenance by Provenir Cloud Administration.
  • Complete cloud maintenance by Provenir Cloud Administration with a secure VPN connection to your infrastructure so that on-premise resources can be used in cloud-based decisioning processes.
  • A development and QA environment within Provenir Cloud with production using your system and network infrastructure.

Options for Managing Business Logic

  • Provenir manages the complete application lifecycle including development of business logic, promotions and production.
  • You create and maintain your business logic and promotions with Provenir managing production.

High Availability

  • Standard availability provides fault tolerance to a minimum of 99.5%.
  • Optional high availability offers fault tolerance of 99.95%.

Robust Disaster Recovery

  • Mechanisms include daily database snapshots, multi-region database replication and Amazon Machine Images for the Provenir Platform.

On-Demand Scalability

  • Quickly scale horizontally and vertically in response to increased load. Scaling can be done manually or using an automated scaling algorithm. The Provenir Cloud environment can also scale down during times of decreased load.

Robust Security

  • Every client is provisioned with dedicated resources including a virtual private cloud, database and server instances to isolate business logic, data and resources.
  • All data that enters the Provenir Cloud environment uses secure TLS to encrypt data between components as well as 2048-bit asymmetric encryption to store any sensitive data that is persisted to data stores.
  • Firewall protection allows only whitelisted IP addresses. Use security groups to manage whitelisted IPs.
  • Security vulnerability scanning comes standard, and penetration testing is available as an option.

Professional Cloud Maintenance

  • 24×7 proactive monitoring with optional client alerts.
  • Automatic Provenir Platform upgrades, security patches, and new features.
  • Automatic upgrades to take advantage of the latest Amazon server and service technologies.

Simplified User Management

  • The Provenir Cloud Portal provides a single, unified environment for administering your cloud resources and viewing all informational, warning and error log messages.
  • Maintain your company accounts and Access Control Lists in the portal.

Easy Application Extension

  • The Provenir Hub offers pre-configured integration interfaces to data sources including credit bureaus, validation services, Google/Amazon services and Amazon Machine Learning services. These promote quick integration to significantly reduce time-to-market for your Provenir solutions.

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

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Decisioning Technology: The Foundation for Deeper Connections, Improved User Experience, and Increased Agility

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Decisioning Technology:
The Foundation for Deeper Connections, Improved User Experience, and Increased Agility

Provenir’s Kathy Stares shares advice on how Credit Unions can use decisioning technology to advance risk management and improve the user experience on the Credit Union Business website!

Read the full article on the Credit Union Business website.

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

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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.

RESOURCE LIBRARY

Roundtable: Navigating Regulatory Challenges and Affordability with Foresight in Financial Services

Roundtable: Navigati...

Provenir Financial Executive Club: Strategies for Excellence in Dynamic ...
Tackling Tech Bloat: Slimming Down to Boost Efficiency, Security, and Innovation

Tackling Tech Bloat:...

How Major Banks and Large Financial Services Providers can ...
Live Event: Navigating the Future of Digital Transformation and Customer Experience

Live Event: Navigati...

In-Person Event: Navigating the Future of Digital Transformation and ...
Finance Forward: 10 Breakthrough Innovations Reshaping The Future of Financial Services

Finance Forward: 10 ...

Explore cutting-edge innovations in risk decisioning that are shaping ...
Provenir Launches Onboarding Fraud Solution to Fight Back Against Fraudsters, Minimizing Losses While Safeguarding Customer Experience

Provenir Launches On...

AI-powered risk decisioning platform connects fraud scores, identity checks ...
The Transformative Journey of Digital Banking in APAC: Growth, Challenges, and Innovations

The Transformative J...

BLOG The Transformative Journey of Digital Banking in APAC: ...
Infographic: One decisioning platform for every customer touchpoint

Infographic: One dec...

Balancing risk with opportunity can be a challenge - ...
Navigating Your Legacy System Upgrade

Navigating Your Lega...

Do you struggle to maintain your legacy decisioning systems? ...

Continue reading

CRO’s Guide to Machine Learning

WHITEPAPER

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.

RESOURCE LIBRARY

Roundtable: Navigating Regulatory Challenges and Affordability with Foresight in Financial Services

Roundtable: Navigati...

Provenir Financial Executive Club: Strategies for Excellence in Dynamic ...
Tackling Tech Bloat: Slimming Down to Boost Efficiency, Security, and Innovation

Tackling Tech Bloat:...

How Major Banks and Large Financial Services Providers can ...
Live Event: Navigating the Future of Digital Transformation and Customer Experience

Live Event: Navigati...

In-Person Event: Navigating the Future of Digital Transformation and ...
Finance Forward: 10 Breakthrough Innovations Reshaping The Future of Financial Services

Finance Forward: 10 ...

Explore cutting-edge innovations in risk decisioning that are shaping ...
Provenir Launches Onboarding Fraud Solution to Fight Back Against Fraudsters, Minimizing Losses While Safeguarding Customer Experience

Provenir Launches On...

AI-powered risk decisioning platform connects fraud scores, identity checks ...
The Transformative Journey of Digital Banking in APAC: Growth, Challenges, and Innovations

The Transformative J...

BLOG The Transformative Journey of Digital Banking in APAC: ...
Infographic: One decisioning platform for every customer touchpoint

Infographic: One dec...

Balancing risk with opportunity can be a challenge - ...
Navigating Your Legacy System Upgrade

Navigating Your Lega...

Do you struggle to maintain your legacy decisioning systems? ...

Continue reading

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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Provenir Extends Its Platform to Support Python

NEWS

Provenir Extends Its Platform to Support Python

Pre-integration with the powerful programming language will make it even easier to operationalize complex credit risk models – with added artificial intelligence (AI).

New York, NY –  Date February 2018 – Provenir has expanded its risk analytics and decisioning platform to support the increasingly popular programming language Python. The platform’s new pre-built connectivity with Python will ultimately help data scientists and risk professionals create more sophisticated statistical models at higher speeds – using AI to drive faster, more reliable credit risk decisions.

Python is a powerful, interpretive language based on open source software, with access to an ever-widening range of algorithms and data libraries. Its speed, flexibility, stability and ease of integration with almost any information source have made it today’s go-to tool for data scientists. And because it works so well with AI, Python enables you to build self-sufficient models that process historical data, bringing new levels of machine learning to risk decisioning.

“Our platform’s pre-integration with Python opens exciting new possibilities for developing and operationalizing credit risk models,” says Paul Thomas, Managing Director at Provenir. “In the lending space, non-linear models with a greater number and variety of data variables can gain a more accurate picture of prospective customers – and potentially reach new demographics without increasing credit risk. When accessed through Provenir, Python’s power, flexibility and AI capabilities will help providers bring such complex risk analytics to market more quickly.”

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

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Dun & Bradstreet Partners With Provenir To Deliver Next Generation Risk Decisioning Solutions

NEWS

Dun & Bradstreet Partners With Provenir To Deliver Next Generation Risk Decisioning Solutions

Dun & Bradstreet, pioneering Smart Data to enable customers to make smart decisions, announces a partnership with Provenir, a provider of global real-time, risk decisioning solutions. The collaboration paves the way for innovative, real-time risk decisioning services for European businesses.

In search of growth and cost efficiency, companies in Europe seek solutions to optimize their credit risk processes. Agile solutions that can respond quickly to rapid and on-going business and regulatory changes are vital. Dun & Bradstreet has a long history in delivering decision-making platforms to help businesses automate processes and make data-driven decisions. The partnership with Provenir empowers the next generation of solutions, using the Provenir Risk Analytics and Decisioning Platform.

“We are committed to providing the best information management, data analytics and risk solutions to our clients,” said Anders Borg, Chief Strategy Officer of Dun & Bradstreet. Borg continues, “The Dun & Bradstreet partnership with Provenir is a strategic initiative which will enable us to build more flexible, scalable and integrated solutions. This will provide business users the ability to create, change and implement data sources, business rules and risk models within minutes. It is the latest example of how we at Dun & Bradstreet are committed to providing an improved customer experience with automated risk decisioning.”

Provenir helps companies implement innovative business processes which improve customer experience and accelerate time to market.  The Provenir solution simplifies the collection and enrichment of structured and unstructured data, enabling data and risk analytics to be performed in real-time.

“We’re very excited to partner with Dun & Bradstreet and support their plans for automated risk decisions and analytics within their portfolio of client offerings,” said Paul Thomas, Managing Director, Provenir. “Provenir’s risk decisioning platform is model, data and technology agnostic, making it highly flexible for Dun & Bradstreet’s purposes. We’re looking forward to working together to deliver great solutions to Dun & Bradstreet’s customer base.”

About Provenir

Provenir makes risk analytics faster and simpler for financial institutions. Our Provenir risk analytics and decisioning platform is a powerful orchestration hub that can listen to any channel, integrate with any data service and operationalize any analytic model. We help clients process more applications with greater efficiency and increase sales conversions with instant, real-time risk decisioning, serving clients across a broad range of financial verticals including consumer, commercial, cards, payments, ecommerce and auto financing. Provenir is headquartered in Parsippany, New Jersey with UK operations in London and Leeds.

About Dun & Bradstreet

Dun & Bradstreet is a leading European Data & Analytics company. We help companies to find and manage their customers throughout the customer lifecycle. We do that by pioneering Smart Data to enable our customers to make Smart Decisions. We employ 2,400 people in 18 countries and are headquartered in Stockholm, Sweden.

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

Learn More


LATEST NEWS

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