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Author: Amy Sariego

Saying Yes More: How GM Financial, Yapstone, and Insikt use Risk Analytics and Decisioning to Drive Business Growth

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Saying Yes More:
How GM Financial, Yapstone, and Insikt use Risk Analytics and Decisioning to Drive Business Growth

Provenir clients GM Financial, YapStone, and Insikt talk risk decisioning over on AmericanBanker.com today. The article delves into their risk decisioning processes and uncovers how robust risk analytics allow them to ‘say yes more’.

“To the outside world, loan decisions and payment approvals can seem like a simple yes or no decision: either the application is approved or it’s declined. However, the most successful financial services organizations know that determining a yes, no, or even maybe response requires a robust decisioning process that not only protects all parties, but also drives an organization towards its goals.

In today’s tech savvy world risk decisioning has become an artform that has the power to make or break a financial services organization in a number of ways, from its impact on user experience, to the risks it exposes the business to or protects it from. Businesses who embrace this new risk management artform are developing sophisticated risk decisioning processes that incorporate more than the traditional credit scores we all love to hate.

It’s no secret that digitization has created huge disruption within the financial services industry, replacing traditionally paper-based processes with tech-powered automated systems that make it possible to process loan applications and make payments instantly. But this ‘instant gratification’ culture has also created new opportunities for fraud and increased threats that have the potential to outsmart traditional risk decisioning processes that don’t keep up with the evolving risk landscape.

So how can businesses use risk decisioning not just as a form of protection but also as an opportunity to innovate and grow? GM Financial, Yapstone, and Insikt are three examples of organizations that are using strategic tech partnerships to create sophisticated risk decisioning processes that secure their positions as industry leaders.”

Read the full article at AmericanBanker.com to learn more about how these three innovative businesses are using smarter risk decisioning to drive business growth, expand market opportunities, and improve the consumer experience.

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Veejay Jadhaw Named Chief Technology Officer

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Veejay Jadhaw
Named Chief Technology Officer

We are pleased to announce that Veejay Jadhaw has been named Provenir’s Chief Technology Officer. Veejay was most recently CTO and Head of Digital Innovation at Finastra, the world’s third largest fintech company. Prior to Finastra Veejay held significant roles with SAP and Microsoft. Veejay brings strong technical knowledge and outstanding leadership skills. He will be based in Parsippany, Provenir’s HQ.

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Dun & Bradstreet and the 4 Wonders of Innovation

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Dun & Bradstreet and the 4 Wonders of Innovation

Innovation is a term that is frequently used to describe fintech businesses, whether it’s an innovative culture, an innovative product, or how they’re creating innovation within the industry. With the fintech space dominated by startups it isn’t surprising that innovation is thriving, after all, it’s much easier for new businesses with a small team and developing culture to build innovation within their business than it is for large financial institutions.

Startup fintechs have the advantage of agility over many of the established businesses in the financial industry. So, what does this mean for financial businesses with many employees and a long-established culture, is innovation just a pipe dream? Peter Nyberg, Group Director of Risk & Credit at Dun & Bradstreet doesn’t think so.

When it comes to innovation, if anyone is in a position to understand what it takes to transition an established business into a digital-forward, innovative organization, it’s Peter. As a leader within Dun & Bradstreet, he’s seen first-hand both the ingredients needed to adopt innovation within the organization and the steps Dun & Bradstreet’s clients are taking to create innovative change within their companies.

Dun & Bradstreet—Creating a Cohesive Mindset to Support Change

Dun & Bradstreet has taken an interesting path to become the company they are today, which is one of the most in-demand data bureaus and analytics firms in Europe. In its early years, Dun & Bradstreet purchased many small businesses to build the data giant that it is today, and Peter is quick to point out that creating a united team within an organization that is the child of 70 different entities is no easy task, but it’s essential for the success of their business.

“You cannot be competitive if you have 37 different ways to do the same thing, if your knowledge is found in 18 silos, or your data is stuck in legacy monoliths.”

For Dun & Bradstreet to succeed in using digitization to drive the business forward it had to take its existing competitive culture and transition towards a cohesive culture. To do this they created defined business goals that the team could be united around. So, when the usual objections and debates about how things are done occurred, they helped drive innovation instead of creating problems.

Dun & Bradstreet has worked hard to adopt a digital mindset and to empower their team to innovate, and while this is an ongoing process, Peter can identify one key step that became the foundation for all future changes within Dun & Bradstreet:

“There was a key turning point: setting down for the first time a set of key initiatives that align all the forces within Dun & Bradstreet, and highlighting how those initiatives take us towards being a different company.”

This cohesive understanding of core competencies, business goals, and the next step towards achieving these goals helped Dun & Bradstreet create an organization that was digital-forward, ready to adapt to change, and innovative. It provided the glue that formed one unit out of 70 companies and allowed them to transition from data bureau to leading data analytics business. A change that not only helps them be more innovative but also helps drive innovation within their client’s businesses.

Identify that it’s broken, admit that it’s broken, and commit to making a change

When businesses reach out to Dun & Bradstreet it’s normally because they have a question that they can’t find the answer to. Whether it’s simply a question of using data, about efficiency, cost-reduction, risk decisioning, compliance or even the best way to adapt to a changing market, to find the solution it’s essential for a business to commit to making a change. Creating change in an organization is difficult, creating change in an organization that isn’t committed to evolving is almost impossible!

Whether the business can maintain focus on their goal. Digitization is an exciting opportunity for many businesses, and when people think about digitization and innovation they often fall into the trap of focusing on the technology. In Peter’s experience working with financial institutions he says, “Our clients jump into ‘we’re going to use this piece of software or that solution’ or ‘we’re going to hire so and so, many analysts, and a data scientist’, and often they do but somewhere in that the end objective is forgotten and not reached.”

When it comes to using digitization to innovate it’s essential for a business to look at all parts of the puzzle and what pieces are needed to reach their goal. Peter is a strong believer in digitization being as much about people and culture as it is about technology. Take for example a bank that has the technology in place to use risk-based pricing but doesn’t have the shared understanding or cultural awareness needed to implement that change. The technology’s capabilities and innovation opportunities are being wasted because the people weren’t ready for the digital approach.

Avoiding the big bang approach—guiding businesses towards their innovation goals

While organizations fail to reach goals for many reasons, Peter says failure is often the result of, “businesses approaching change with a big bang method.” Creating a digital mindset within an organization can’t happen instantly, it needs a step by step method to ensure that all parts of the business are fully aligned with the new business approach. Peter used the analogy of an Oil Refinery as it’s been said many times that Data is the new oil of the digital economy. An Oil Refinery isn’t successful just because it has oil—its success is down to knowing how to access the oil, transport it, refine it, sell it, and get it to the purchaser. Most importantly, what the Oil Refinery very clearly needs to understand is what fuel is fit for which engine, and distill accordingly.

There are steps every organization must take in order to get to their goal and Peter is a huge proponent of using agile methodology to help businesses achieve their targets. He believes one of the key benefits of the agile approach for innovation is that you always have a functioning business.

“In terms of getting better at digitization, there is a lot to learn on the business side from thinking about gradual development of digitalization and processes, and the outcomes you seek.”

Instead of making large changes that the organization isn’t ready for, you can take incremental steps that slowly transition the business to where you want to go. It’s a gradual move forward that lets all stakeholders within a business adapt to the digital methodology and gives the team the opportunity to learn from each step and use this knowledge to improve future development phases.

“This is especially powerful when it comes to digitalization. You can, in fact, capture your inputs and your outputs. 3, 6, 12 months later you can go back, and see if what you predicted would happen actually did happen; and you can improve.” Peter again uses the Oil analogy to describe what he sees all too often: “In the late 19th century, the gasoline portion of distilled oil was often dumped into rivers. It was simply too explosive and difficult to use. Even today the norm seems to be for companies to throw away their most valuable data asset—the outcomes their digital processes generate and how they compare to what later on in hindsight would have been most valuable. And thus, their business continues to run on data diesel.”

Be bold, create a cohesive goal, and take necessary risks

What it’s clear to see from both Dun & Bradstreet’s transition to a digital-focused, innovative company and Peter’s experience with financial services clients, is that change is possible, even in the most divided organizations. Adoption of the digital mindset doesn’t happen overnight, it requires a long-term commitment, a clear goal, and a step by step process to move the organization forward as one cohesive unit. Adopting digitization to allow your business to innovate is a risk, but it’s also a risk you’ll need to take to keep your organization competitive.

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Provenir Extends Its Platform to Support Python

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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.”

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Provenir Partners in Japan

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Provenir Partners in Japan

Provenir has recently signed a partnership agreement with the Global Winning Technology Corporation to target Japan for its risk analytics and decisioning technology. GWT was started to address the critical need for progress for financial companies in Japan.

Yukio Sakamoto, President and Founder of GWT, sits down with Provenir’s Paul Thomas in this inclusive one-on-one interview to talk about the state of Japan’s financial industry. 

 GWT | Provenir

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Provenir Moves to New Technology Center in Parsippany, New Jersey

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Provenir Moves to New Technology Center in Parsippany, New Jersey

I Love Technology, But Not As Much As You, You See

Provenir moves to a new technology center in Parsippany, NJ. The new space provides an updated aesthetic and a collaborative environment for its growing team.

Technology Center

Morris Corporate Center 2
1 Upper Pond Road, Bldg F – 4th Fl
Parsippany, New Jersey 07054
+1 (973) 316-8680

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A Heartfelt Breakup Letter to Excel BI Tools

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A Heartfelt Breakup Letter to Excel BI Tools

Dear Excel BI tools,

Despite what I’m about to say, I genuinely love everything about you, from conditional formatting to pivot tables, to Power View. You have so many great features.

But… I think we should see other people.

Read the full article on Capterra’s Business Intelligence Blog

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How a Norwegian Virtual Bank is Using Machine Learning

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How a Norwegian Virtual Bank is Using Machine Learning

A Norway-based digital bank is using a machine-learning platform to allow for immediate decisions on loan eligibility.

Provenir, the platform Instabank uses, is deployed by banks and finance companies around the world, some of which have incorporated social media data in determining loan eligibility criteria.

Read the full article on Tearsheet.com

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Alexa, get me a gluten free carrot.

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Alexa, get me a gluten free carrot.

The Curious Cynic’s Guide to Amazon’s Whole Foods Acquisition

When Amazon announced its intention to purchase Whole Foods for $13.7 Billion, the internet collectively lost its breath. And, then the questions poured in. What do we do with all of those articles heralding the death of brick and mortar retail? What does this mean for [insert your industry here]? What’s going to happen to disposable income everywhere, and where will young professionals get their gluten free carrots?

In a retail climate where brick and mortar retailers are painfully clawing their way into ecommerce (only to close up shop months later), Amazon just turned the tables and made everyone re-think the in store experience. And, the speculations around Amazon’s game plan are more entertaining than HBO’s current line-up (Silicon Valley notwithstanding).

We’ve gathered some of the speculations and trends around the acquisition news to add our two cents.

Amazon is Breaking the Ecommerce Box

The truth is, Amazon is not the first e-tailer to take the plunge with real estate. Many startups have led the way.

In 2013, Warby Parker, an online eyewear retailer opened shop in Soho, across the street from the Apple store. On opening, founder Neil Blumenthal said “This is the convergence of e-commerce and bricks and mortar. The idea that it’s one or the other is ridiculous,” he says. “E-commerce as a term will become obsolete in five or six years.”

In 2015, BaubleBar, a “big-data-driven” jewelry startup opened its physical doors on Long Island. Co-founder Amy Jain explained, “We want to be wherever our girl is, whenever she wants to buy the product.”

In 2016, Bonobos, the largest internet-born menswear brand opened its first “Guideshop.” Guideshops operate as showrooms (fully stocked with cold beer), allowing customers to try the product before placing an online order with a guide. Founder, Andy Dunn said of its online origins, “I really thought stores were going away at that time.” He adds, “If you had 100 guideshops and 10 with stock that have the ability to be fulfillment centers to fill that same-day need? That kind of fascinates me.”

In 2016 MonPurse, personalized leather goods company famous for its 3D design experience opened its first “Mon Gallery” in Sydney. Founder Lana Hopkins said “Bricks and mortar aren’t dead. It was never dead. What it comes down to is: We need to make the experience super, super special for people. We need to remember that those people are us. We want something. We want more.”

These startups obviously differ from Amazon in reach, supply chain leverage, market share, the list goes on. But, they saw the writing on the wall and got physical back when Amazon was only dipping a pinky toe in retail.

Amazon is Getting into the Grocery Game

If we’ve learned anything about Amazon over years, it’s that things aren’t always what they seem. It’s also that everything is a data-driven experiment.

If CREC’s Retail Division VP, Rafael Romero, is onto something, it’s not just about groceries. “I don’t think that this will be the last of Amazon’s purchases,” said Rafael Romero, vice president of Florida-based real estate firm CREC’s retail division.  “They fully recognize that brick and mortar and online retailing is all retailing and you need both.”

Many have recalled Amazon’s recent launch of Amazon Go, a checkout-free shopping experience that was piloted in Seattle last year. And, it wouldn’t be a stretch to imagine that Amazon just purchased 451 more locations to accelerate that program’s growth. But, if you’re thinking that this stops with milk and bread, you’re thinking small. While Wal-mart is busy buying its way into in the ecommerce game, imagine walking into an “Amazon Mart” on your friendly neighborhood corner and walking out after a “One-Click Checkout” experience.

Let’s not forget that Amazon just acquired a company full of retail minds in addition to a portfolio of retail locations. I wouldn’t underestimate what Amazon can do with that type of intellectual capital on its side.

Amazon Just Scooped Up High-end Distribution Locations

In most geographies, Amazon already offers same-day delivery. Through Prime Now, certain zip codes get groceries and other basic household goods delivered within two hours. Buying super classy grocery stores to use as distribution locations seems like wasted potential.

However, think about the lesson we learned from some of those startups. Bonobos has opened more than 30 stores, but they don’t actually stock inventory. That type of omnichannel experience seems unlikely in the Whole Foods scenario, but you can be sure that the omnichannel concept is being thrown around on a lot of Seattle-based conference calls these days.

Amazon in Taking Over the World

It seems that way. Amazon has one thing that big retail has been vying for, that is access to your phone. They didn’t even have to beg, plead, or launch a “loyalty program” to get it. That access likely makes them the most connected retailer in the world. It also gives them a huge opportunity to play with the integration of marketing and payments technologies with their in-store experience – a scenario that many retailers have been struggling to realize.

This is where many in our space are aiming their attention – the potential new standard of retail payments. What happens when your bank, your card issuer (oh, but the “card” is your phone), your retailer, and your logistics provider all wear the same logo?

The New Normal

Big news like this always stirs up the waters, but we’re in agreeance that this is largely unchartered territory. It tickles our ears because it’s amazing fodder for our imaginations, and for our dreams of the tech-enabled future. When the dust settles, you can guarantee that we’ll all be pulling out the organic, fair-trade popcorn as we watch the story unfold.

P.S. – Whole Foods CEO John Mackey did give a sneak peek into the big changes that are in store: “Things that I cannot talk about today and won’t be able to talk about until this deal closes.” Thanks for that, John.


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Elevate: Reinventing Non Prime Lending

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Elevate: Reinventing Non Prime Lending

The first slide of the May 2017 Elevate Investor Presentation is the type of thing to make investors’ ears tingle. President and CEO of Elevate, Ken Rees boasts over 15 years in the financial services industry and has a big exit to GE Financial under his belt. To his right is displayed Chris Lutes, Elevate CFO whose career path journeyed through PWC and the CFO role at Silicon Valley Bank. With the vision of a strong leadership team and a fresh IPO, Elevate is determinately reinventing non-prime credit with online products that provide financial relief today, and help people build a brighter financial future.

The vision statement is emotive, and the numbers are unavoidable. The Elevate portfolio of lending products – Rise and Elastic in the U.S., Sunny in the UK – have originated over $4 Billion in non prime loans. The company’s revenue CAGR stands a tall 100% over the past three years, they’re reliably increasing margins, and they’ve done it all with an 85%+ customer satisfaction rating.

Tech-forward and Customer Focused

Elevate has succeeded in a tough segment, many say, because it has identified its purpose and it works with focus to serve what Elevate has termed “The New Middle Class” — the roughly 170 million residents of the U.S. and U.K. with low or no credit scores who would otherwise turn to short term lenders in the event of a significant, unforeseen expense. Elevate is serving the group that’s sitting between prime and sub-prime, but it is not doing so as a traditional lender – it’s a self-proclaimed fintech that hails “Datascience as the vanguard” of its efforts.

A recent NYSE.com article pointed out that “Elevate’s speed is one of its key advantages,” touting the ability “to approve most loans within seconds while staying on the right side of compliance” (a process which is ~95% fully automated).  To which Eric VonDohlen, SVP Chief Analytics Officer, added: “If we start to see things in data we don’t like, we can react in days, not months, and still conform to all the governance requirements.” Elevate’s goal in its data refinement is to shrink charge-off rates, a challenge for many in the non-prime space.

Overall, Elevate is positioned as a growing, tech-forward, and responsible alternative to subprime lenders and has established for itself a significant competitive advantage through its data and analytics stack. Elevate has only “touched about one percent” of its target market, and is not stopping now.

In June 2017, Elevate announced the launch of Elevate Labs. “Given the state of consumer credit in America today, the need for innovation in credit scoring has never been greater: approximately two-thirds of Americans are non-prime according to the Corporation for Enterprise Development and FICO and need better credit options,” said Ken Rees, CEO of Elevate. “Our new innovation lab in San Diego gives the best and brightest technology and analytics talent the space to experiment, collaborate and create something that has the potential to change Americans’ financial lives.”

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