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Author: Amy Sariego

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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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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On the Fine Line Between Cross-Selling and Advising

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On the Fine Line
Between Cross-Selling and Advising

Empowering Your People with Data

In a recent Salesforce webinar, Frank Perkins, RVP, Enterprise Sales, Global Run Rate, with Salesforce impactfully stated: “All of your data is relatively useless unless you can get it to the people who sell in the context they need it.” In a lending institution, that means putting the customer’s data (from a CRM like Salesforce) and credit data (from varied data sources such as FICO, FactorTrust, Twitter, etc.) in front of the people who are serving customers on a daily basis. It means empowering them to help that customer find the right product when they need it.

Cross-selling is Knowing Your Customer

Now, we’re all aware of the fine line that exists between “cross-selling” and “advising” in a financial institution. In many instances, the Personal Banker or Loan Officer wears both hats and should act as an advisor to the customer while making them aware of products and services that could help them toward their financial goals. To get this clarification out of the way now, cross-selling cannot mean shoehorning a customer into a product that’s only right for the institution. Cross-selling is knowing your customer, their history, and their needs well enough to present products and services when they’re relevant. And, good systems should empower people to do just that.

Creating a Frictionless Customer Journey

For example, McKinsey and Company identified a major bank that created a frictionless, integrated customer journey. By doing so, they “unlocked over $300 million in additional margins” by tapping into “underutilized customer data” and delivering “targeted marketing messages and various points in the purchase-decision process.” Imagine that your financial institution could create its own frictionless sales process by integrating CRM data with unstructured and credit data so effortlessly that your personal bankers could present a pre-qualified mortgage offer to an account holder who recently listed their home on Zillow. Yeah, that’s customer service.

Automating the Financial Industry

With stories like McKinsey’s popping up, it’s no surprise that experts see automation as the single most impacting force in the financial industry over the next decade. To be sure, it doesn’t make sense for you or your customer if your company is cobbling together outdated systems to make credit offers, forcing customers to wait while their officer manually ambles back and forth between systems. Building an integrated, frictionless process of your own not only makes financial sense, but it’s also required if you want to keep up with the future of banking.

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Provenir Unveils Amazon Machine Learning Adapter

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Provenir Unveils Amazon Machine Learning Adapter

New Provenir Adapter adds Machine Learning to the risk analytics and decisioning toolkit for faster credit and risk decisions

New Jersey, US – 20 March 2017Provenir, provider of risk analytics and decisioning solutions, today unveiled the new Provenir Adapter for Amazon Machine Learning for financial institutions seeking to add machine learning to their toolkit without the time and resources typically associated with development. The latest in Provenir’s suite of adapters automatically feeds the predictive score returned by the Amazon Machine Learning model into the risk decisioning process. The Provenir Platform then automates that process, instantly executing a pass, fail or refer result from a risk score.

Provenir Adapter Makes Machine Learning More Accessible to Lenders
“While Machine Learning has massive implications in financial services, few organisations are able to dedicate full time resources to the development of homegrown machine learning capabilities” said Larry Smith, CEO and Founder, Provenir. “The Provenir Adapter for Amazon Machine Learning makes machine learning accessible to those companies who are focused on their core businesses by eliminating the need for a dedicated expert.”

Inexperienced Developer Deploys ML Model in Less Than 20 Minutes
Smith shared an example. “With no experience in machine learning, one developer on our team was able to build and deploy a machine learning model in less than 20 minutes, operationalizing that model in the Provenir Platform in just hours. Historically, that would have taken a team of people a month to achieve.”

Visually Configurable, Real-Time, Risk Analytics
To meet customer expectations of speed, efficiency and cost, financial service providers need risk management solutions that are visual and intuitive, don’t require coding expertise or development skills to update, and are flexible enough to adapt in changing situations. This integration pairs Provenir’s visually configurable risk platform with Amazon Machine Learning for real-time, user-friendly, risk analytics and decisioning.

About Provenir
Provenir makes risk analytics faster and simpler for financial institutions. The 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. Helping clients process more applications with greater efficiency and increase sales conversions with instant, real-time risk decisioning, Provenir serves clients across a broad range of financial verticals including consumer, cards, payments, ecommerce and auto financing. Provenir is headquartered in Parsippany, New Jersey with EMEA operations based in England and APAC operations in Singapore. For more information please visit www.provenir.com.  

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

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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.

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Rent-A-Center Adopts Provenir Cloud

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Rent-A-Center Adopts Provenir Cloud

Intelligent Risk Analytics and Decisioning Solution provides scalability to high growth company

New York, NY – September 13, 2016 – Provenir, provider of risk analytics and decisioning solutions, today announces that rent-to-own industry leader Rent-A-Center, Inc. has adopted Provenir’s hosted solution, Provenir Cloud, to support the processing of customer applications for lease purchase agreements in connection with its AcceptanceNow line of business.

“Provenir’s risk analytics and decisioning platform’s scalability and rich functionality provide significant value to Rent-A-Center’s growth plans and transformation,” said Mark Denman, EVP of AcceptanceNow at Rent-A-Center. “By implementing Provenir Cloud to process customer lease applications, we will increase speed, improve delivery and provide our customers better, faster access to our products and services.”

The Provenir solution will sit in the heart of RAC’s processing workflow, acting as an orchestrating hub and connecting internal and external data with various rules and risk models.

“Provenir is committed to providing Rent-A-Center with a flexible, secure and scalable environment that ensures simplified maintenance for the users so that they can continue to deliver value to their customers while pursuing their growth strategy,” said Paul Thomas, Managing Director at Provenir.

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. For more information please visit www.provenir.com.

About Rent-A-Center, Inc.

A rent-to-own industry leader, Plano, TX-based, Rent-A-Center, Inc., is focused on improving the quality of life for its customers by providing them the opportunity to obtain ownership of high-quality, durable products such as consumer electronics, appliances, computers, furniture and accessories, and smartphones, under flexible rental purchase agreements with no long-term obligation. The Company owns and operates approximately 2,600 stores in the United States, Mexico, Canada and Puerto Rico, and approximately 1,915 Acceptance Now locations in the United States and Puerto Rico. Rent-A-Center Franchising International, Inc., a wholly owned subsidiary of the Company, is a national franchiser of approximately 225 rent-to-own stores operating under the trade names of “Rent-A-Center,” “ColorTyme,” and “RimTyme.” For additional information about the Company, please visit our website at www.rentacenter.com.

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Provenir is Now Integrated with Salesforce

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Provenir is Now Integrated with Salesforce

Provenir is now integrated with Salesforce
Platform providing a risk analytics and decisioning orchestration hub to banks and fintech disruptors adds Salesforce integration

New York, NY – May 5 2016Provenir, provider of risk analytics and decisioning solutions, today announces the integration of its platform with Salesforce to improve the execution of complex credit decisioning processes with increased transparency across platforms. Companies that use Salesforce for customer relationship management (CRM) can now connect to Provenir’s platform to run automated risk analytics and decisioning for credit and loan applications, as well as mobile payments and e-commerce transactions — all from within their Salesforce environments.

Slow, inefficient manual processes hamper risk analytics and decisioning processes. Banks, card issuers and even fintech disruptors spend hours performing credit checks, risk scoring and due diligence processes on legacy systems. Not only does this make the process more complex, it often requires the duplication of customer data, which is both time consuming and error prone. Through this integration, Provenir’s risk platform interacts directly with Salesforce for a real-time and seamless risk analytics and decisioning processing experience that utilises a single data set.

“To manage the full credit and risk lifecycle, companies need to integrate with service bureaus, internal and external databases, risk models and CRM systems. At Provenir, we provide an orchestration hub that is truly agnostic to any technology, database, data service or risk model. With that, we can help clients automate and move towards instantaneous risk decisioning and provide a real-time experience to their customers,” said Paul Thomas, Managing Director, Provenir.

Salesforce and others are among the trademarks of salesforce.com, inc.

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. For more information please visit www.provenir.com.

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Money20/20 Europe – a breath of fresh air

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Money20/20 Europe –
a breath of fresh air

The arrival of Money20/20 in Copenhagen brought a breath of fresh air to the European conference circuit. The high-energy, well-structured event generated a bright atmosphere for conversation and collaboration – and not just because business in the networking area was conducted in colourful sheds. Notable by their absence were customers, but industry players were out in force and a recurring topic of conversation was how today’s banks and financial institutions can add immediacy to their processes.

The fact that customers have taken to services like Amazon 1-Click, Twitter and Alipay suggests that immediacy is what they want.

To deliver it, banks and FIs need to be digital and online. That’s a minimum, but it isn’t enough. They also need decision-making that supports immediacy. Manual, complex risk analytics and decisioning is clunky and slow. Automated, streamlined processes returning a rapid ‘yes’ or an immediate ‘no’ credit or loan decision are what’s needed.

People share information online constantly; and it’s resulted in new forms of data. The complete view of a prospective customer no longer resides only in bank statements and spreadsheets. It’s also in online reviews and online behaviour.

If a consumer wants to know if a company is reliable and provides value for money, they’ll look at review sites and read what people have written about them on Twitter. Why wouldn’t the same information form part of risk decisions taken by finance and payments providers?

Inspiring speakers at the event included BBVA’s CEO Carlos Torres Vila and Sebastian Siemiatkowski, CEO and co-founder of innovative e-commerce company Klarna, which is changing the way people pay for goods online. Ricky Knox, co-founder of digital-only bank Tandem talked about how their approach is reimagining the bank as we know it.

It was a successful start in Europe for the Money 20/20 brand. We look forward to October and Las Vegas.

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