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Author: Allison Karavos

Beam Me Up, Scotty: A Day At Work With A Digital Native

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Beam Me Up, Scotty:
A Day At Work With A Digital Native

“Excuse me, sir.”

“Uhh… Are you alright?”

The man sitting in front of my desk had slumped in his chair while I wasn’t looking, his eyes closed.

Seeing as he was well into his 80s, that got me worried. But a light snore soon set my mind at rest.

The guy had just fallen asleep. Phew.

I didn’t blame him, for I had almost fallen asleep myself countless times as I read out middling policies and filled out forms for customers…  by hand.

Time often stood still when I worked in the private banking industry — and people weren’t happy, not on the customer side nor the employees.

Back To The Future

That’s how I felt clocking out of work at the end of my day.

I worked in traditional banking from 2015 to 2017. But stepping into the office felt like traveling back to 1985. It was a time-warp.

I was expected to be physically present at the same place and same time every day for the same amount of hours — whether there was work to be done or not. Phones were to be locked away, and the internet was censored.

But, more importantly, the day-to-day processes were extremely inefficient. Whether it was opening a new bank account, making a deposit or processing a loan, everything was manual from start to finish.

I’d fill in forms by hand then type them up on the aging computer, which meant simple appointments often ran over 2 hours. Decisioning processes typically took 5 to 7 working days, or even longer.

For a guy who had his first internet connection at 11 years old, and was used to web pages loading on their phone in under 3 seconds, this was unfathomable.

There had to be a better way. Well, there was a better way.

So why were we tied to antiquated systems and a rigid, inflexible work schedule?

A New Way To Work

I’m not alone in feeling like this.

Having grown up in a connected world, my generation is accustomed to getting things done faster. But, more to the point, we’ve embraced flexibility from a young age, we’re comfortable taking ownership and we like feeling empowered.

Technology allows us to design our workday the way each of us prefers it. We can get more done without having to sacrifice time with family and friends and other things that are important.

The simple fact is that, in this day and age, there’s no need to build your life around your work. As long as you have a laptop and an internet connection, you can work anywhere, at any time. So, it shouldn’t be surprising that we view the rigid, office-based workplace structure as antiquated and unnecessary.

As Upwork CEO Stephane Kasriel puts it:

“The traditional 9-to-5 office job doesn’t adequately support the lives millennials and Gen Zs want to live. They are flexible-work natives, raised during and after the dotcom bubble, where the acceleration of technology has sped up exponentially over time.”

Taking The Workplace From 1985 To 2019

This year, Generation Z — those born after 1996 — will make up 32% of the global population. The eldest has just finished or are about to finish college. And, by 2025, we’ll make up 31% of the workforce.

Seeing as employees are the face of your company, I think it’s about time we adapt the workplace and bring it in line with the times. Happy employees are more productive, more loyal and more effective. And, ultimately, it’s your customers who’ll benefit.

So what should the modern workplace look like, in my view?

Well, for starters, it’s all about flexibility. We’re more than happy to be connected round the clock. After all, that’s what we’ve been used to almost all our lives. But the beauty of having this level of access is that it can set you free.

A Stanford University study found that, over a 9 month period, flexible workers were happier, achieved more and took fewer sick days. And — would you know it? — they actually worked longer hours.

I’m not surprised.

Working from home makes the day seem to go by much faster. I can enjoy a leisurely lunch and make up for it in the evening. Or, I can deal with an issue Sunday night and take things easier Monday morning. There’s no counting the clock down and feeling like you’re being forced to work.

But, more to the point, the workplace should be about doing things smarter, not harder.

This is not to say we aren’t prepared to roll up our sleeves. We are. A survey run by recruitment website Monster found we expect to work harder than our older siblings the Millennials. But with technology at our fingertips, there’s no reason why repetitive tasks should take over the day-to-day.

Automating admin-heavy processes such as applications, pricing policies, onboarding and decisioning frees up your employees — young and old — to focus on what really matters. It also saves time, saves money and helps you serve your customers better.

And, as a business, isn’t that what you want?

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

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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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The 2018 Dzone Guide to Microservices

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The 2018 Dzone Guide to Microservices

With the continued evolution of Microservices we are seeing more developers beginning to experiment with modular applications in both production and development. Dzone’s latest guide shares how top companies and fellow readers have adopted microservices and the challenges they’ve had to overcome. Look out for comments from Mike LaFleur, Provenir’s awesome Global Head of Solution Architecture.

Download the full guide at Dzone.com.

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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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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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