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“Hey, Lenders – Are You Using the Right Data Sources?”

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“Hey, Lenders – Are You Using the Right Data Sources?”

  • Pankaj Jain, Sr. Solution Architect at Provenir

As a digital transformation evangelist with years of experience in the financial and banking industry, I have helped many Fortune 500 clients future-proof their lending programs by providing intelligent solutions, especially in the decision risk management area. Through these engagements, I’ve observed that many lenders compromise their agility in rolling out a decisioning solution due to delays and challenges in the initial steps of evaluating and onboarding the right data sources. Customer needs and expectations are changing in real-time so lenders must eliminate barriers to their own agility to stay in the game. 

Below are few activities I’ve observed that compromise lenders’ agility: 

  • Choosing the Right Data Provider: Considering there are thousands of data providers across many lines of businesses, lenders always have to spend a lot of time choosing the right data provider for their decision strategy. Lenders must evaluate each data provider in each region by the line of business, review their doc specs, figure out ways to test their API in their decision solution, and then, based on the outcome, initiate the onboarding discussion. These activities often significantly delay the implementation of a risk decision solution and ultimately, delay better outcomes for the end customer. 
  • Onboarding Data Providers: Onboarding a data provider involves a series of discussions around pricing, legal contracts, support, etc., and again becomes a bottleneck in the lender’s agility to roll out products to end customers.
  • Switching Data Providers: Considering the effort required to onboard a data provider, lenders often default to their existing data provider and keep using the same data for their new risk decision solution or product. It’s like building a new car with an old engine designed for a different model.  They should put a mechanism in place to easily choose and switch to the data providers that best augment the overall risk decision solution.
  • Keeping Pace Data Sources: As data types are exponentially growing, data providers are offering new data sources, and it is hard for lenders to keep pace with who has what data. Most of the time, lenders default to using the same data type even if there are alternative data products in the market that offer new, more relevant, and deeper insights.

These activities are repeated for each data source and, on average, add a week to a month to making the data available for building a risk decision strategy around it.

To create true agility in launching a risk decisioning platform, lenders need a one-stop hub that offers easy access to a variety of data types so they can evaluate, integrate and easily build decision models around it instead of waiting for months. And having the right data source is as important as having a robust, agile risk decisioning platform.

The Provenir Data Cloud + Provenir Marketplace provides a wide variety of data sources in the lending ecosystem, along with advanced search capability to discover and detect trusted data sources based on geographic location, data type, product type, etc. It’s out of the box, prebuilt API provides seamless integration with available data sources such as credit bureaus, identification and fraud, collateral, alterative credit data, etc. 

The combination of discovering the right data sources and using an out of box prebuilt API allows the lender to quickly switch between different data providers. With a simple click of the button, they can integrate new data sources into their decision strategy seamlessly without having direct contact with the data provider. The lender can test the respective data and enable it for the end customer on the fly once satisfied with the desired test outcome.

Provenir Data Cloud + Marketplace helps lenders be more agile, responding quickly to changing data needs and focusing their time and energy on innovating their financial product. 

Learn how real-time data enhances risk decisioning and wins new customers.

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Dun & Bradstreet’s The Power of Data Podcast featuring Provenir’s Frode Berg

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Dun & Bradstreet’s The Power of Data Podcast
featuring Provenir’s Frode Berg

On this episode of Dun & Bradstreet’s The Power of Data Podcast, Frode Berg, General Manager, EMEA for Provenir shares his insights on data and analytics trends, industry challenges and opportunities for innovation. Frode and host Nick Whitehead explore the:

  • Future of open banking
  • Barriers and benefits of real-time data throughout the customer lifecycle
  • Biggest challenges fintechs and banks are facing in risk decision making
  • Areas where innovation is accelerating in the region

Grab a cup of coffee and listen in on this conversation to pick up some nuggets of new insights.

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Guest Blog: Enable fast, frictionless onboarding for differentiated customer experience with Ekata’s Global Identity Engine + Provenir’s Decisioning Cloud

GUEST BLOG

Enable Fast, Frictionless Onboarding for Differentiated Customer Experience
with Ekata’s Global Identity Engine + Provenir’s Decisioning Cloud

  • Ivan Cloar-Zavaleta, Senior Manager, Strategic Partnerships at Ekata

Last year, COVID-19 triggered a five-year digital quantum leap forward, bringing with it new risks. However, it also brought the rise of a new major differentiator: customer experience. Disruptive technologies continue to be important, especially for the creation of differentiated customer experience, but there is a massive delivery gap. While 80% of business leaders claim they deliver superior customer experience, only 8% of those customers agree. (Source: Bain, Qualtrics)

Ekata has partnered with Provenir to help financial service institutions around the world differentiate their customer experience by offering Ekata’s global dynamic identity verification data for real-time probabilistic risk decisioning in Provenir’s Data Cloud + Provenir Marketplace. Ekata is the one and only global data provider that can validate, link, and see online behavior patterns for these five core identity elements – name, email, phone, address, IP address in unison – around the globe.

Ekata and Provenir joint customers are already reaping benefits from this powerful partnership by:

  • Reducing the time and resources needed for individual custom integrations with a one-stop shop and its ability to add multiple data sources via a secure, simple, drag-and-drop interface.
  • Access in seconds to extensive identity data and risk indicators for passive authentication that enables automated approval processes and reduces customer friction behind the scenes.
  • A fast and seamless platform for testing and integration of global identity data into workflows via a single low-latency API.
  • Streamlining the onboarding experience for the underbanked, a growing sub-segment, who now account for $2B+ in spending but lack traditional credit histories.
  • Detecting synthetic identity fraud through the power of dynamic data linkages and real-time prediction capabilities tracking anomalies in how elements are behaving individually and in combination with others.

Now, any Provenir customer can access the power of the Ekata Identity Engine via the Marketplace. The engines sophisticated data science and machine learning combine the differentiated technologies of two proprietary data sets, the Ekata Identity Graph (housing 1B+ global identities and 7B+ authoritative identity entities to validate, link and provide metadata for all five identity elements) and the Ekata Identity Network (seeing 16B+ identity elements through 6B+ global queries for comprehensive pattern analysis) to produce the unique scores, data attributes, and risk indicators that continuously show up in the top five performers of customers’ risk models and decisioning workflows.

Just confirming the data is valid and belongs to the submitter is not enough, patterns of behavior around these elements surface additional, critical insights. So, while the Identity Graph can tell us a phone number is valid and linked to a given owner, the Identity Network could reveal that that phone has been used with 50 different email addresses in the last 30 days in transactions at over 15 businesses in the global Identity Network—exposing the seemingly valid phone number as potentially risky. Having both datasets is critical to enable a truly comprehensive risk assessment.

The right identity verification data solution enables inclusive and frictionless experiences while, at the same time, ensuring customer privacy, control, and security. Embracing a modern, data-driven approach allows businesses to both stop fraud and provide a good customer experience.

Ekata and Provenir together can provide global businesses the right data and innovative technology to help them deliver on a truly differentiated customer experience for their end customers.

Learn more on the Marketplace.

The Ultimate guide to Decision Engines

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Expand Your Risk Decisioning Universe: 5 Quick Wins Using Advanced Analytics

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Expand Your Risk Decisioning Universe:
5 Quick Wins Using Advanced Analytics

Book a Meeting

Don’t let risk decisioning slow you down

Digital-centric transactions are the new norm, and increased consumer choice is putting customer loyalty to the test. But organizations should not lose sight of the human experience in the rush to go digital. Making the customer delighted and optimizing risk decisioning can go hand in hand.

It’s time to embrace a world where risk decisioning agility and world-class customer experiences are must haves and expanding your organization’s universe means succeeding at both.

Read the ebook and learn how to:

  • Make immediate credit card decisions that satisfy both the consumer and the issuer
  • Enhance consumer lending practices to keep and win new business
  • Compete in the fast-growing Buy Now Pay Later (BNPL) market
  • Reduce time to funding to better support the SME lending market
  • Realize the next generation of auto lending with a smooth, frictionless buying experience

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Provenir Introduces Industry-Leading Data Cloud + Marketplace to Support Rapid Product Innovation and Superior Customer Experiences

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Provenir Introduces Industry-Leading Data Cloud + Marketplace
to Support Rapid Product Innovation and Superior Customer Experiences

Access to Global Fintech Data Ecosystem Accelerates and Improves Risk Decisioning

Parsippany, NJ, March 31, 2021Provenir, a global leader in risk decisioning and data analytics software, is pioneering how fintech organizations access a greater variety of data to support rapid product innovation and superior customer experiences via the launch of the Provenir Data Cloud and the Provenir Marketplace

Data-as-a-service will define the future of data consumption. The Provenir Marketplace provides organizations with a one-stop hub for easy access to traditional fraud, credit, identity, open banking, and alternative data, bringing offerings from global data providers together in an easy-to-use cloud solution.

With the Provenir Marketplace, users can select specific data sources through the Data Cloud’s single API to create rich, customized datasets that best meet their needs. With fully maintained API connections to all data providers and a no-code interface, users can easily connect to new data sources in minutes and test data across their decisioning processes. Rapid integration provided by Provenir eliminates the need for extensive internal development resources.

“Innovative fintechs are using a greater variety of data to drive superior customer experiences,” said Larry Smith, Founder and CEO of Provenir. “The Provenir Data Cloud in conjunction with the Provenir Marketplace is a fintech data ecosystem designed to empower organizations to launch new products in record time, enhance the customer experience, and accelerate and improve the accuracy of their risk decisions.”

Provenir partners with local and global data suppliers across every continent to support single and multi-country strategies. The Marketplace is currently comprised of 25 partners providing a breadth of data sources. New data providers are joining the Marketplace at a rapid pace, and Provenir expects to triple the number of partners by the end of 2021.  

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How Data Drives the Financing Shift in Telco

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How Data Drives the Financing Shift in Telco

As competition grows fiercer and products become commoditized, customers are placing more demands on their carriers. Forward thinking telco organizations are relying on advanced data and analytics to differentiate and hone their advantage.

This eight-page white paper presents data-driven insights and use cases to help you:

  • Dig into your credit risk data to improve finance offerings
  • Illuminate customer experience trends to reduce churn
  • Leverage alternative data to capture a broader market

“Provenir empowers the Telia Finance team to create and change credit offerings independently, process customer applications in seconds, and easily integrate into multiple data sources for better quality decisioning.”

Fredrik Nilsson, Telia Finance


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The Shift to Data-Driven Telco

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The Shift to Data-Driven Telco

As competition grows fiercer and products become commoditized, customers are placing more demands on their carriers. Forward thinking telco organizations are relying on advanced data and analytics to differentiate and hone their advantage.

This eight-page white paper presents data-driven insights and use cases to help you:

  • Dig into your credit risk data to improve finance offerings
  • Illuminate customer experience trends to reduce churn
  • Leverage alternative data to capture a broader market

“Provenir empowers the Telia Finance team to create and change credit offerings independently, process customer applications in seconds, and easily integrate into multiple data sources for better quality decisioning.”

Fredrik Nilsson, Telia Finance

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3 Things Telcos Should Know About Alternative Data

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3 Things Telcos Should Know
About Alternative Data

Business models are changing — and rapidly.

Apologies, because you probably knew that.

But it’s happening much faster than we think, whether it is timed to product design shifts or concepts like the Internet of Things, or changed models like servitization. Some have even estimated that a standard enterprise business model changes every 2.5-3 years. The main revenue source may stay the same, but the plan underlying said revenue source shifts essentially every seven quarters.

Primarily a product-driven industry, we see this shift happening in Telco now. As devices become more expensive for an average consumer, telco caters to a built-in audience by way of financing offers. It’s somewhat of a servitization model in its own right: a product (the phone) bolstered by a service (the financing so that you can afford the phone over a period of time).

Financing makes sense as a new revenue stream for telco companies, but it opens up some new challenges too: namely, if you weren’t a lending institution before, how do you make decisions around financing and credit of different consumers? What if they have a non-existent credit history? What then?

Here arrives “alternative data.”

1. What is alternative data?

Don’t worry: it’s not like “alternative facts.”

The easiest definition: information that is not found in the files maintained by the three major credit reporting agencies. For example, some elements not kept in major CRA files include:

  • Telco
  • Utility information
  • Property record information
  • Social media footprints

Alternative data is actually a much bigger slice than you might think. Yes, 190 million Americans have a FICO score, and that’s by far the majority. But consider this: 28 million Americans are credit retired, new to credit, or lost access to credit — and 25 million have no credit bureau record. There’s more, too: while 92% of Americans have a cell phone, only 2.5% of consumer credit bureau files have telco information. It’s the same with utilities: 60% of U.S. residents pay utilities, but just 2.4% of files have this information.

Telco, utility, and lease/property information is often highly indicative of credit trustworthiness but just isn’t tracked at the conventional levels.

2. How do you pull alternative data?

Largely through public record data sources, although you can also search people’s social media profiles.

While social media is not as direct a correlation with credit trustworthiness, it can give you an idea of the person’s activities and habits, especially around check-ins. However, as more and more companies embed with Facebook, Twitter, Google, Instagram, et al. concerning immediate purchase (think “Buy Now” buttons), there will be more financial information tied to people’s social media accounts.

This concept is still getting to scale in the U.S., but one of the initial growth areas of alternative data was Indonesia, sometimes considered “the Twitter capital of the world.” There are 78 million active Internet users in Indonesia, with north of 50 million on both Facebook and Twitter. You won’t find that profile information in conventional lending approaches, no; but it’s still highly valuable.

Or is it?

3. Does alternative data work?

Yes. To wit: in one study where auto lenders decided to use alternative data in their decisioning processes, 40% of those rejected via “no-file” and 30% of those rejected via “thin-file” were found to have credit trustworthy scores when you considered these alternative data sources.

Is this a case of “not everyone is on the grid?” Yes, that’s part of it. The other part is that human existence is not stagnant. We’ve done things one way for so long when evaluating credit trustworthiness, but the world has changed dramatically, and we have access to much, much more information. Shouldn’t we be using it to make better decisions?

The Secret to Consumer Lending Success

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Financial Inclusion & Alternative Data in LATAM

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Financial Inclusion & Alternative Data in LATAM

Expert Insights into 2020 Wins & Improvements

Leading experts in the Latin American fintech ecosystem, are joining us to provide their perspectives about one of the most important issues facing the financial industry during these challenging times—financial inclusion and the use of alternative data.

Provenir and CredoLab present the eBook: “Financial Inclusion & Alternative Data in Latam – expert insights into 2020 wins and improvements” to explore:

  • How the fintech industry has transformed during the past year
  • The opportunities 2021 brings in the area of financial inclusion.

Through the expertise of recognized financial experts in the region, the eBook explores how traditional banks and financial companies have readjusted their credit scoring and how they can help power financial and social inclusion.

Read insights from:

Ignacio Carballo, Research Economist, and Director Fintech Ecosystem & Digital Banking at UCA

Marcel Van Oost, Financial Advisor and Fintech Startup Founder with the collaboration of Marcial Gonzalez Fraga, Fintech Investor

Clementina Giraldo, Dots & Tech CEO & Founder

Bruno Diniz, Fintech Advisor, Managing Partner at Spiralem and Book Author: “The Fintech phenomenon”

Sebastián Olivera, Montevideo Fintech Forum Founder and WeFintech Co-Founder, the Iberoamerican
Women Network

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The Data Disconnect: Why Even FinTechs Struggle

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The Data Disconnect:
Why Even FinTechs Struggle

Redefining the relationship with data, FinTech industry veteran and Managing Director of Provenir, Paul Thomas explores the data disconnect troubling financial institutions in this in-depth interview.

Paul Thomas has witnessed the data struggle firsthand in his work with both traditional financial institutions as well as disruptive fintech innovators. At first glance, the struggle doesn’t make sense. There’s no shortage of data—most organizations are drowning in data. It’s not the lack of tools that’s the problem—analytics-tools like Python are widely accessible. It’s not even a lack of talent, with some fintech firms employing the brightest data scientists from the most prestigious graduate programs. So what exactly are the issues that prevent financial organizations from fully using data and how can they be solved?

Thomas has a unique, perhaps even renegade, approach to solving data challenges. He believes that organizations need to reimagine their relationship with data and restructure their infrastructure to take advantage of new data sources and cloud-based technology partners.

In a fast-paced and far-reaching interview peppered with many industry examples and anecdotes, Thomas explains why—and most importantly, how—financial services providers can transform how they use data to deliver the products and services consumers want.

Read the full article here >> American Banker

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