Skip to main content

Language: EN

Enhancing Collections Strategies with Predictive Analytics

BLOG

Enhancing Collections Strategies
with Predictive Analytics

It’s just over 30 years since The Simpsons first aired. The show built a reputation on predicting the future; Presidencies, Super Bowl wins, mobile phone technology, Olympic feats… even accurately depicting London skyscrapers, almost 20 years before construction. In a world where truth can often be stranger than fiction, these moments have manifested themselves into real-life. Rather than complex data-driven insight, it was the astute cultural awareness of Matt Groening et al that formed the basis of these ‘predictions’. A keen eye and razor-sharp interpretation of social nuances, cultural insight, and intuition to look at things with a wide lens to determine predictive outcomes.

The world has undoubtedly changed in recent months. In today’s challenging landscape, banks and financial organisations are aware that it’s now as important as ever to make fast and well-informed credit decisions for onboarding new customers; largely driven by increased competition and a rise in customer demands for fully digital processes. But, in a time of economic instability, where financial stress is being experienced by a growing number of households, proactively managing existing customers as effectively as possible is a high priority for lenders; enhancing collections strategies through data insight and predictive analytics is now essential to this process.

Today’s reality is that an increasing number of customers have become, or are becoming exposed, with a reduced or uncertain-level of income and a recent history of payment holidays across multiple products. A recent study from Transunion highlights that 53% of UK consumer household income has been impacted, with 68% now concerned with how they are going to pay current bills and loans. When asked which bills are most concerning, credit cards (37%), mortgages (24%), personal loans (22%), and car payments (18%) rank high. These concerns are undoubtedly being shared by an ever-growing number of global households.

The industry is facing challenges and change. The existing customer-base is concerned about meeting repayments, and many are faced with reduced income or redundancy in higher impacted sectors like hospitality, travel, and engineering. Adaptation is now required from both borrowers and lenders to ensure the best outcomes are achieved through the collections process. Lenders need to be equipped to handle increased volumes of cases and mitigate losses, all while building strong relationships with customers who need their proactive support. Through early-warning triggers, predictive models, ML solutions that deliver default rate predictions, and wide-ranging real-time data sources, lenders can access advanced capability when it comes to predicting delinquencies and deploying multi-channel customer communication strategies. Banks and lenders can no longer rely on credit bureaus alone to inform their collection strategies or time-delayed manual assessments to identify higher-risk customers.

Supported by technology, here are my top three actionable methods that businesses can adopt to increase their ability to predict and enhance their collections strategies:

  1. Proactively predict delinquencies: Actively monitor accounts for early-warning triggers that could signal impending trouble, such as increasing credit line usage, changing payment behaviour, change in income, and decreasing credit scores. Deploy predictive models to determine which combination of factors often lead to customers entering the collections process. Using batch, real-time, or hybrid processing methods, risk can be identified early by using predictive risk scores and teams can work with customers to ensure the best outcomes.
  2. Optimize payment/settlement offers: Empowering your team to make the right offer at the right time is an essential part of every collection’s strategy. Agents need to be able to see and analyse all data – from all accounts that have previously defaulted across the portfolio. Analytics tools can rapidly gather and assess this data to predict the optimal offer. Predictive analytics can help agents understand what percentage of debt is normally recovered in similar cases and set the benchmark for likely repayment amounts that can be achieved – supporting lower write-offs and protecting loan loss reserves.
  3. Optimize contact strategies: To create brand-defining customer experiences, collections teams need to adopt sophisticated and cohesive collections strategies powered by insight. All relevant data and information that informs the best contact method needs to be in one place and easily accessible. This will allow analytics models to be implemented easily, taking into account all documented customer interactions. In a time when customers are choosing which debts to prioritize, creating a brand experience through the tried-and-tested channels (phone, text, email, in-app), can improve engagement, willingness to pay, and customer retention.

We are now in a place where instantly accessible and accurate predictions are now achievable for lenders. With diverse, rich data sources and powerful technology to provide the razor-sharp interpretation of data and insights, lenders can widen the lens on the collections process to maximize the best outcomes for all customers; from Springfield US to Sheffield UK.

How to Take Your Collections Team From Hero To SuperHero

Read Now


LATEST BLOGS

260726 - BLOG eyeDP - FeatureIMG - 61058

Beyond Data: Why Dec...

Beyond Data:Why Decisioning Needs Document Intelligence Financial services providers
Fraud in Telco: Provenir Experts Answer Frequently Asked Questions

Fraud in Telco: Prov...

Fraud in Telco:Provenir Experts Answer Frequently Asked Questions 1.
260722 - ARTICLE Mike - FeatureIMG - 60958

AI governance in fin...

AI governance in financial services:What "governed" means in practice
Latam Compliance Challenge for Decisioning

LATAM Next Complianc...

From Data Protection to Decisioning Accountability:What LATAM Regulation Means
Banks Architecture Gap - Provenir

The Architecture Gap...

Decisioning ArchitectureThe Architecture Gap: Banking's Next Competitive Battleground Banks
BLOG Andy

The Real Cost of Ven...

The Real Cost of Vendor Dependency in Credit Decisioning
260617 - BLOG Matthew Nutt - FeatureIMG - 60431

What Does a Good Dat...

What Does a Good Data Provider Review Actually Look
Ebook CM

AI-Powered Customer ...

AI-Powered Customer Management:How Leading Institutions Turn Intelligence Into Revenue

Continue reading

provenir logo

Employee Spotlight – Kerry Cleary

BLOG

Employee Spotlight – Kerry Cleary

Welcome to the team Kerry! You’ve recently joined Provenir as Head of Data Partnerships… can you tell us a bit about your background and your role?

My background is in Fraud and Risk; working with market leading companies, including time spent at a leading UK credit reference agency. I have experience working with partners to create and maintain successful business relationships within the industry and across multiple sectors.

We have some hugely exciting product initiatives being undertaken across the business, being delivered by a talented team. Innovation is part of Provenir’s DNA and we have an unrivaled track record of integrating hundreds of traditional and new data sources for global clients. As Head of Data Partnerships, I am leading an exciting and unique new initiative that will bring these data providers together and make it easier to access rich data sources within a single tool… watch this space!

What does a typical day look like for you?

A typical day involves exploring and researching the market and building relationships with key industry and market leading global data partners who will play a huge part in the success of this new initiative. I’m working very closely with different teams across the business; from sales and marketing to the development teams, to ensure we are all aligned and working as successfully as possible.

What three words would you use to describe your role?

Exciting: Being part of a company and team that are talented, successful, and passionate about what they do, really brings excitement to the role.
Rewarding: The hard work that is involved in our new and exciting product initiative is beginning to show exciting results. It is very rewarding seeing this dedication paying off and forming the foundations of what is certain to be a global, industry-leading product!
Challenging: Who doesn’t love a challenge! My role as Head of Data Partnerships is a new role here at Provenir and is a fantastic new challenge for me. No day is the same with new and exciting challenges to tackle on a regular basis.

What’s your favorite part of your job so far?

Being new to Provenir, I would say my favorite part of my job so far is getting to know the business and talented teams and exploring how we all work together from all corners of the globe. Working as part of one big team creates a positive work environment and the support received from everyone is amazing!

If you could choose anyone, who would you pick as your mentor?

Whilst I could choose many mentors, a close friend of mine has always been a fantastic mentor for me and has provided support and guidance to me for many years. I strive to live by her example of hard work, passion, kindness, and enthusiasm for life and success.

What’s the best piece of advice you ever received?

‘You are responsible for your own success and happiness’

What are the most exciting developments/opportunities you’re seeing in the industry?

As part of my role, I spend a lot of time researching the market and looking for ways Provenir can support our customers and continue to provide the best-in-class customer experience. How data is accessed and used can have a significant impact on our clients and their business strategies. Making that rich and diverse data easily accessible is the driving force behind innovation here at Provenir.

What’s your most memorable facepalm moment!?

I’ll keep that one to myself for now ha ha!

What is your biggest achievement to date – personal or professional?

Professionally – I have worked very hard over the years to build a successful career and I am very proud of where I am today.
Personally – My biggest achievement by far in life is being a Mum to my Daughter Mary! I could not be prouder of the job I am doing in raising a happy, healthy, and clever little girl!

Connect with Kerry on Linkedin here


LATEST BLOGS

Continue reading

White Oak Chooses Provenir Cloud to Power Business Lending

NEWS

White Oak Chooses Provenir Cloud to Power Business Lending

White Oak Chooses Provenir Cloud to Power Business Lending

Provenir supports independent business lender White Oak with a cloud-based risk analytics platform to power its business lending credit decisioning process.

Provenir, a global leader in risk decisioning and data analytics software, announced today that White Oak has chosen Provenir technology to support its digitization and innovation strategy, accelerating a move to a fully automated origination process across its business loans and asset finance products.

Nick Isaacs, Chief Risk Officer, Leases and Loans, at White Oak said, “For over 30 years, we’ve been helping thousands of entrepreneurs and small businesses across the UK by helping them with their working capital needs. As an accredited CBILS lender, we are continuing to see higher volumes of applications via our direct and aggregated channels, and we are committed to delivering the smoothest lending experience possible.”

“We have chosen Provenir to ensure we have the best technology in place to provide our clients with a better service. This partnership allows us to make real-time risk decisions with a fully automated lending experience. Provenir has an impressive track record in the industry and their low-code platform will give us the flexibility to build new models, integrate new data sources easily and enhance our underwriting process.”

Chris Kneen, Sales Director at Provenir adds, “We are delighted to be supporting White Oak with our cloud-based risk analytics platform. They are playing a crucial role in the UK SME finance market right now and have a clear vision to further disrupt the way businesses can access funds with little fuss – adopting our agile technology to enhance the speed and accuracy of credit decisions is a key component of their innovation strategy. We’re really excited to have White Oak onboard to our cloud-based solution which will complement their first-class customer service.”

The Ultimate Guide to Decision Engines

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

Learn More


LATEST NEWS

Continue reading

Provenir announces its first client in El Salvador: Flexiplan

NEWS

Provenir announces its first client in El Salvador:
Flexiplan

Flexiplan selects Provenir to automate real-time risk decisioning for motorcycle finance

Miami, Florida – September 16, 2020 – Provenir, a leading risk analytics software company, today announced Flexiplan as a new client in San Salvador, El Salvador. Flexiplan is a motorcycle lending company that provides financial solutions to help clients improve their day-to-day activities across three key areas: mobility, productivity, and quality of life.

In the pursuit of growing its business, Flexiplan chose Provenir to meet all of its credit risk decisioning needs including real-time loan approval, automation, and easy API integration. With more efficient decisioning processes, Flexiplan will be able to more effectively manage risk, giving it the agility to respond to its customers through its digital platform and point of sale.

Tito Gutiérrez, Country Director of Flexiplan, emphasized: “At Flexiplan we believe that flexible credit, enabled by the modern technology, is a powerful tool that promotes commerce and a better quality of life for consumers. With its best-in-class technology for global financial companies, Provenir will be one of our strategic partners helping us operationalize risk models and provide real-time solutions to the market.”

Gabriela Herrera, Business Development Manager for Latin America, highlighted: “We are delighted to have Flexiplan as our first client in El Salvador. It is a pleasure to help them replace the manual processes and support its digitization journey. Provenir’s powerful Platform will not just power automation of the risk decisioning process in real-time to approve loans in milliseconds, but will also drive business growth. Companies like Flexiplan represent a great opportunity for Provenir and we are happy to have them as part of our expansion in Latin America.”

Provenir—through its innovative product—helps startups, Fintechs, and financial institutions with the digital transformation process. In the case of Flexiplan, it will help mitigating credit risk, as well as improving the loan approval rate for motorcycle financing.

The Ultimate Guide to Decision Engines

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

Learn More


LATEST NEWS

Continue reading

Creating Collections Superpowers: Using Predictive analytics to maximize payments and build brand-defining experiences

EBOOK

Creating Collections Superpowers:
Using predictive analytics to maximize payments and build brand-defining experiences

How to Take Your Collections Team From Hero to Superhero.

With increasing pressure on collections strategies to handle increased volume, mitigate losses, and provide brand-building experiences, financial services organizations are looking for tools to help collections teams drive engagement and improve efficiency. In our latest ebook, we explore how predictive analytics can help your business to:

  • Predict risk earlier
  • Create more personalized treatment options
  • Power effective and efficient collections strategies

Download the ebook today to discover the 7 areas where predictive analytics can provide rapid and measurable improvements that empower your business to build brand loyalty and, in turn, lower loan loss reserves. Plus, if you’re looking to advance your collections strategies, we cover the three requirements you should look for in technology to see ROI in record time.

RESOURCE LIBRARY

No posts found.

Continue reading

Avida Finans: CIO Insights

BLOG

Avida Finans: CIO Insights

In the first part of a series of guest Q&As with our regional customers, Jenny Larsson, Chief Information Officer at Avida Finans talks to our very own Patrick Radise about Avida’s journey, adapting to trends and challenges in the market, choosing Provenir technology and nurturing tech talent.

Can you tell us about Avida Finans, the markets you serve and the products that you offer?

We are a Swedish credit market company that since the start in 1983 has focused on offering loans to individuals and corporates in the Nordic region. At Avida we are unique. We want to be seen as a professional compliment to larger banks and a responsive partner that helps private individuals or companies realize their plans. Our business is growing and we currently have 115 employees working out of our offices in Stockholm, Oslo, and Helsinki.

What challenges or needs did you face in your industry that led you to look for a decisioning solution like Provenir?

Time is a critical factor for us; our customers expect an instant decision at the tip of their fingers. This requires a solution that can automate processing and models. We also had a disbursed system landscape and saw an opportunity to act smarter and faster with one platform that could plug into multiple areas.

What types of data are you using to determine credit decisions? How has Provenir’s technology helped your team access new data and build new credit risk models?

We use application data, internal data, credit bureau data, and other sources in order to perform a full credit assessment of each application. The main advantage of the Provenir Platform for us is the combination of ease of use, suitability, and flexibility when it comes to integrations, plugins, and speed. In turn, this means we can develop models in a more agile manner.

How has Provenir’s technology helped to enhance your speed-to-decision application process and customer experience?

We’ve enhanced our models which have resulted in improved accuracy overall – a fantastic result which helps both our customers and the company. In the past, we had models embedded into systems that have required different software engineers and suppliers, more effort, and longer lead times to update. With Provenir this is now in the hands of our analytics team, it’s more visualized and easily configurable, which in the end, shortens time-to-market.

In addition, we have also built a strong partnership with Provenir where their team really understands our product and provides excellent support.

What trends do you see developing in the market and how are these driving your vision and shaping your innovation plans?

It’s an interesting market at the moment, a lot has been turned upside down. However, general trends persist – digitalization, the expectation from customers that every interaction is instant and smooth. We’re also a small player with highly-skilled colleagues and ambitious plans; to make them come true we’re continuously removing mundane tasks so we can focus on the things that matter most for us and our customers. Data is another trend and at Avida we’re building a lot of insight through data to be able to make real-time decisions on our business.

Finally, what’s it like to work at Avida Finans? How do you nurture tech talent and what advice would you give to someone starting out their career in finance technology?

No day is the same. We’re small and entrepreneurial, this means that everyone matters and can make a difference. This motivates everyone at Avida where we change and improve things constantly.

From a tech perspective, we want to try out new technology and continuously update the solutions and infrastructure so it’s further ahead than the market in general. We believe that this develops the talent at Avida but also attracts external talent. We’ve been on a journey for the past 2 years where we’ve raised the bar significantly, everything newly developed is made through microservices in the cloud, we’ve moved a lot of infrastructure to the cloud, automated processes etc… the list goes on. People that join us typically like the entrepreneurial side, the possibility to grow and make an impact and finally they are attracted by the technology landscape.

In terms of advice for someone starting their career in finance technology; firstly build your technical foundation – be curious and make sure you find people in your organization that are smart and can share knowledge. Secondly, it’s important to understand your business and your customers to deliver the right solutions, make sure you understand the processes, and what’s important for the company to be successful.

See how you can use the power of the Provenir Platform to drive digital innovation in your risk decisioning processes

Learn More


LATEST BLOGS

260726 - BLOG eyeDP - FeatureIMG - 61058

Beyond Data: Why Dec...

Beyond Data:Why Decisioning Needs Document Intelligence Financial services providers
Fraud in Telco: Provenir Experts Answer Frequently Asked Questions

Fraud in Telco: Prov...

Fraud in Telco:Provenir Experts Answer Frequently Asked Questions 1.
260722 - ARTICLE Mike - FeatureIMG - 60958

AI governance in fin...

AI governance in financial services:What "governed" means in practice
Latam Compliance Challenge for Decisioning

LATAM Next Complianc...

From Data Protection to Decisioning Accountability:What LATAM Regulation Means
Banks Architecture Gap - Provenir

The Architecture Gap...

Decisioning ArchitectureThe Architecture Gap: Banking's Next Competitive Battleground Banks
BLOG Andy

The Real Cost of Ven...

The Real Cost of Vendor Dependency in Credit Decisioning
260617 - BLOG Matthew Nutt - FeatureIMG - 60431

What Does a Good Dat...

What Does a Good Data Provider Review Actually Look
Ebook CM

AI-Powered Customer ...

AI-Powered Customer Management:How Leading Institutions Turn Intelligence Into Revenue

Continue reading

Portfolio/Credit Line Management In the Age of Covid 19

BLOG

Portfolio/Credit Line Management
In the Age of Covid 19

Greetings from Provenir. My name is Brendan Deakin, Vice President of Sales at Provenir, Inc. I hope all who choose to read this blog post are faring well during this historically challenging time, and are remaining safe, healthy, and productive. This is especially true for those who are living and working in hard hit areas like New York, Michigan, Italy, Spain, and many other areas where the virus has caused every element of society to stop operating in a normal fashion. Our thanks should also go to all of the first responders, doctors, nurses, and other front-line medical staff who risk their lives to ensure we weather this storm as quickly and efficiently as possible.

The Covid-19 pandemic has caused all of us to re-evaluate how we operate across our personal and professional lives.  The ability to separate work/life activities has become an hour by hour proposition for many of us. From the simple process of ensuring our conference bridge/web-based meeting tools work when needed to balancing homeschooling and other home/dependent care demands against that of our respective occupational responsibilities, we are all being tested like never before. As I look across our business here at Provenir, I could not be prouder of our collective team in its ability to quickly and effectively transition to a virtual work environment, all while continuing to support our global financial services clients during a tumultuous time, one ripe with uncertainty. We were and are well prepared for this, and have flawlessly executed our business operations strategy against very trying circumstances.

As the Coronavirus Pandemic expands, our banking and lending clients will have a unique opportunity and role in helping consumers and businesses cope with the economic downturn associated with Covid 19 and need to be prepared to help customers weather these tough conditions. Besides protecting its own employees and service providers in their branches and offices from the physical health threat of the virus, banks need to ensure their business and consumer customers are offered payment extensions or other relief programs, but only as far as their credit policies and balance sheets will allow. Given the disparate impact this pandemic will have on small businesses and consumers, financial services organizations will need to pay particular focus on account management/credit line management and collections strategies which are tailored uniquely to each client’s circumstances, while at the same time helping shore up their reserves and balance sheet.

While there is not a “one size fit’s all” strategy for banks, lenders, and payment companies, we believe those that focus on the following key account management tenants will retain more loyal, profitable customers during this cycle while shoring up their balance sheet to take advantage of market conditions as they improve. The following capabilities should be top of mind for today’s credit risk executives:

  • Digitization:  Leverage your digital servicing capabilities to drive more consumers/small business customers to adopt internet and mobile servicing offerings, where and whenever possible. This is especially important for those clients who have been hesitant to adopt these services in the past. Gains made here will help reduce client attrition, improve customer satisfaction rates, all while opening up additional channels to engage and collect from consumers struggling under the financial burdens created by this pandemic.
  • Evaluation: As conditions change, for better or worse, it will be vitally important for lenders to evaluate new business rules and decision strategies in real-time/near real-time in order to drive better economic outcomes for the bank and their customers alike. While this is especially true during the Covid 19 pandemic, constant re-evaluation of your credit strategies should become the “new normal”. Those lenders that can execute this new reality will be well positioned during this downturn, and more importantly, as conditions improve.
  • Segmentation:  Explore each existing customer relationship by the nature and level of impact associated with Covid 19. This can help cluster customers and frame proactive Account Management strategies designed to not only aid the consumer during a trying time but limit the bank’s exposure to future delinquencies and charge-offs. Programs should be highly targeted to each account/consumer and can include short term payment extensions, new credit lines, fee waivers, collections treatments, and other strategies.

These and other thoughtful strategies, when executed through the right mix of data and technology, can help today’s risk management executives support their consumer and small business accounts through this Covid-19 crisis while limiting the threat to their firm’s balance sheet or the broader financial system as a whole.

Thanks for taking the time to read this!  Spring is upon us, and I wish you all nothing but the best for the remainder of 2020 and beyond.

Stay Safe!

How to Take Your Collections Team From Hero To SuperHero

Get the eBook


LATEST BLOGS

260726 - BLOG eyeDP - FeatureIMG - 61058

Beyond Data: Why Dec...

Beyond Data:Why Decisioning Needs Document Intelligence Financial services providers
Fraud in Telco: Provenir Experts Answer Frequently Asked Questions

Fraud in Telco: Prov...

Fraud in Telco:Provenir Experts Answer Frequently Asked Questions 1.
260722 - ARTICLE Mike - FeatureIMG - 60958

AI governance in fin...

AI governance in financial services:What "governed" means in practice
Latam Compliance Challenge for Decisioning

LATAM Next Complianc...

From Data Protection to Decisioning Accountability:What LATAM Regulation Means
Banks Architecture Gap - Provenir

The Architecture Gap...

Decisioning ArchitectureThe Architecture Gap: Banking's Next Competitive Battleground Banks
BLOG Andy

The Real Cost of Ven...

The Real Cost of Vendor Dependency in Credit Decisioning
260617 - BLOG Matthew Nutt - FeatureIMG - 60431

What Does a Good Dat...

What Does a Good Data Provider Review Actually Look
Ebook CM

AI-Powered Customer ...

AI-Powered Customer Management:How Leading Institutions Turn Intelligence Into Revenue

Continue reading

A ‘Virtual’ Team Effort: GoBear Deploys Provenir Cloud to Power Digital Financial Services in ASEAN

NEWS

A ‘Virtual’ Team Effort:
GoBear Deploys Provenir Cloud to Power Digital Financial Services in ASEAN

A ‘virtual’ team effort; GoBear deploys Provenir Cloud to power digital financial services in ASEAN

Provenir supports GoBear’s financial inclusion goals with cloud-based risk analytics platform deployed via ‘virtual’ teams

Singapore – April 22, 2020– Provenir, a leader in risk decisioning and data analytics software, announced today that GoBear has chosen the Provenir Platform to power innovative user experiences for its customers, and has deployed the technology through a ‘virtual’ team approach amidst the current COVID-19 crisis. Singapore-based fintech GoBear is an industry-leading and highly innovative financial services organization focused on improving financial inclusion throughout the ASEAN region.

The Provenir Platform was selected for its ability to support GoBear’s innovation plans and to empower the business to meet the increasing demand for simplified, digital-first banking experiences throughout the region. GoBear will use the Platform to process and assess insurance and loan applications in real-time through Provenir’s cloud-based risk analytics solution and use the low-code Platform to rapidly implement and iterate risk processes.

“To fulfil our core mission to improve financial inclusion, we needed to provide a simplified, fast and effortless experience for our users,” Nelius Strydom, Chief Product Officer of GoBear explained. “Provenir’s user-friendly solution allows us to be in full control of our risk strategy while powering real-time decisioning for our customers. With the speed and flexibility of the Provenir Platform driving our decisioning, we will be able to manage and configure business logic or risk policy as the company grows.”

“We are very excited to have GoBear onboard using Provenir’s cloud-based Risk Analytics and Decisioning Platform to deliver a real-time, world-class digital experience to its customers,” said John Warren, Provenir’s General Manager of the APAC region. “Despite the constraints of the COVID-19 crisis, huge dedication and versatility has been shown by Provenir and GoBear’s ‘virtual’ teams to deploy the platform on time yet 100% remotely. This is a great example of adapting in these challenging times to continue to deliver for our clients.”

Patrick Tan, Regional Account Director at Provenir added, “We originally planned to conduct a large part of the deployment onsite. This was quickly reviewed in light of the growing crisis and the development and training teams from Asia and the UK were able to collaborate seamlessly via remote technology – an incredible coordinated effort. We’re confident that we can help GoBear achieve the agility and scalability it needs to succeed and grow in Asia’s increasingly competitive financial services landscape.”

The Ultimate Guide to Decision Engines

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

Learn More


LATEST NEWS

Continue reading

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

NEWS

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

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

Read the full article on the Credit Union Business website.

The Ultimate Guide to Decision Engines

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

Learn More


LATEST NEWS

Continue reading

Will Social Distancing Propel Latin American Financial Institutions Towards Digitization?

BLOG

Will Social Distancing Propel Latin American
Financial Institutions Towards Digitization?

Just a few weeks into this crisis, the outlook, and vision of what was intended for the financial market in Latin America, was dramatically advanced. And based on these changes, experts argue that it is time to trust technology more and to adopt and accelerate its use in the products and services that various financial institutions market.

What are the advantages of Fintech? The answer is obvious: you can offer products and services, and acquire clients without having them on-site, that is, without having to appear at a bank or go to a certain physical location. However, only a small percentage of the market knows what a Fintech is, and these clients always fall back on the opportunities that traditional banks can offer them. The Fintech industry, in this period of COVID-19, will need to go through an era of education and drive to generate awareness and exposure among its potential users, to stop being a “nice to have” and finally become a reality. The Fintechs, without question, are here to stay.

The path, in the Latin American market, will be to digitize those “not digitized” and will possibly mark a trend for banks: to offer digital accounts with no monthly maintenance cost (as many Fintech companies do today) to unbanked clients. From this financial inclusion, these users would have easier access to funds from Coronavirus donations.

With the rise of open banking, Fintechs will focus on partnering with traditional banks or other entities to help them in the digitization process, empowering banks to move from an in-person model to a digital model. In the case of risk management, the trend will also be for Fintechs to help Latin American financial institutions on the path and process towards digitization. The Coronavirus will undoubtedly generate an increase in the use of digital technology in the Latin American market, and banking from home will be more useful than ever.

From a financial standpoint, technology will allow financial institutions to offer and market products in an agile and effective way. From a business perspective it will contribute to the “digitalization journey” and the growth of Fintech businesses and other financial institutions. But, perhaps the biggest motivator for taking the digital journey is that financial services organizations can better support clients through difficult times, like the current period of upheaval that Latin America and the rest of the world are going through. It is essential to have software focused on instant risk decisioning that can make it possible to grant any type of financing/credit in real-time, so that customers can access funds quickly.

The operationalization of risk models will also become a fundamental element in successful digitization, especially as financial services businesses expand their use of non-traditional data. These data sources feed innovative risk models that allow more advanced and accurate risk assessments to be made when authorizing payments or making credit approvals, without the support of traditional data, such as credit bureau scores.

The current Coronavirus crisis presents an opportunity to embark on the kind of innovation that the Fintech ecosystem in Latin America needs and, of course, to publicize what these companies offer. Right now, remote work and the possibility of working from home are changing the routine and the way we operate in our daily life. Digital and, therefore, technology will become a fundamental resource for our businesses, increasing both the reliance and the value technology solutions bring.

The Ultimate guide to Decision Engines

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

Take a Look


LATEST BLOGS

260726 - BLOG eyeDP - FeatureIMG - 61058

Beyond Data: Why Dec...

Beyond Data:Why Decisioning Needs Document Intelligence Financial services providers
Fraud in Telco: Provenir Experts Answer Frequently Asked Questions

Fraud in Telco: Prov...

Fraud in Telco:Provenir Experts Answer Frequently Asked Questions 1.
260722 - ARTICLE Mike - FeatureIMG - 60958

AI governance in fin...

AI governance in financial services:What "governed" means in practice
Latam Compliance Challenge for Decisioning

LATAM Next Complianc...

From Data Protection to Decisioning Accountability:What LATAM Regulation Means
Banks Architecture Gap - Provenir

The Architecture Gap...

Decisioning ArchitectureThe Architecture Gap: Banking's Next Competitive Battleground Banks
BLOG Andy

The Real Cost of Ven...

The Real Cost of Vendor Dependency in Credit Decisioning
260617 - BLOG Matthew Nutt - FeatureIMG - 60431

What Does a Good Dat...

What Does a Good Data Provider Review Actually Look
Ebook CM

AI-Powered Customer ...

AI-Powered Customer Management:How Leading Institutions Turn Intelligence Into Revenue

Continue reading