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Provenir Announces its First Client in Colombia: Creci

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Provenir Announces its First Client in Colombia:
Creci

Provenir and Creci partner to drive lending innovation, agility and credit risk management to provide social impact companies with faster access to funding.

Miami, Florida – March 4, 2020 – Provenir, a leading risk analytics software company, today announced Creci as a new client. Creci is a Colombian-American Fintech specializing in providing credit to small businesses, both in Latin America and the United States, that generate social impact and are focused on achieving the Sustainable Development Objectives defined by the United Nations.

Creci—a new start-up based in Hollywood, Florida, with offices in Medellin—chose Provenir to meet all of its credit risk decisioning needs. With Provenir, Creci will approve loans instantly through its digital platform and operationalize risk models in real time using the integrations offered by Provenir, thus ensuring future business agility and growth.

Andres Idarraga, CEO and Co-Founder of Creci, explained, “In order to develop our own risk decision models and at the same time meet our goal of empowering small businesses that generate social impact, we needed to digitize our processes. So, we are happy to be working with Provenir, an industry-leading technology company that works on solutions for leading fintech and global financial institutions.”

“We are very excited to have Creci as our first Colombian client using Provenir’s innovative platform, it will help manage not only their real-time risk decision processes, but also ensure an openness to technology and a speedy market entry. Creci is a unique institution in its market, as it is 100% dedicated to financing projects with social impact. And, I am sure that the growth of innovative companies in Latin America, such as Creci, offers a huge opportunity for Provenir and our region,” said Gaston Peralta, Director of Business Development for Latin America.

Provenir offers a unique and innovative product to help small fintech companies control their credit risk and in turn powers the growth of SME and individual lending in Latin America. In addition, Provenir supports other financial institutions, such as banks and neo-banks, to manage their risk exposure using solutions that allows them to quickly and easily implement their own strategies and risk models. Which means, that businesses can focus on powering growth and providing a better experience for their users. “Provenir makes the same advanced and innovative technology used by leading global financial institutions available to our region” added Gaston Peralta.

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A Microservices Architecture in Financial Services

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A Microservices Architecture
in Financial Services

Is your financial institution making the move to microservices?

e Microservices concept presents itself as the fulfillment of Service Oriented Architecture’s (SOA) loosely coupled promise – the answer to your development woes. Is it really a silver bullet, or should we tread cautiously?

This nine-page overview of microservices illuminates the architectural concept through the perspective of its:

  • Context
  • Advantages
  • Challenges

Download the whitepaper to gain a foundational understanding of the architectural trend in the financial services industry, and to pick up a stellar visual comparison of Microservices vs. Monolith from page 3.

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CRO’s Guide to Machine Learning

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CRO’s Guide to Machine Learning

Speak ‘Machine Learning’

As Chief Risk Officer, your job is not to know the ins and outs of Machine Learning. Your job is to responsibly manage risk.

However, according to McKinsey, Machine Learning “improves the accuracy of risk models by identifying complex, nonlinear patterns in large data sets” and it is one of the top trends in risk management1.  So, you should probably understand the basics.

This paper guides you through the technical foundation of Machine Learning — not why you should leverage it’s power, but how it works. You’ll gather key talking points to kickstart ML initiatives in your organization.

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Global Roundup – Innovation Opportunities in Financial Services 2020

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Global Roundup –
Innovation Opportunities in Financial Services 2020

In our last blog, Provenir sales executives from around the globe shared snapshots of the biggest changes to happen in the financial services industry in their region in 2019. This time our teams based in North America, Latin America, Europe, and the Asia-Pacific region, share their thoughts on what 2020 will bring for the industry. We asked:

What innovation opportunities will lenders be exploring in 2020?

The Americas

Brendan Deakin, Sales Executive – Northeast US Region

Based on what I saw at Money 2020, it appears the industry is going to be very focused on Fraud/Cyber crime over other innovations. However, this is only a subset of the key priorities faced by banks in 2020 and beyond. I would suggest we’ll see more of the same in 2020 as in 2019.

a. Product Personalization – more and more digital product offerings and channels, where banks will market and serve consumers and SMBs uniquely (1 to 1) vs. as a segment or group.
b. More and more partnerships between established/legacy banks and FinTechs to build unique value propositions for various consumer segments. I would also bet there will be some consolidation in this space as well.
c. Payment innovation globally will continue to advance. I see the use of smart appliances (fridge, cars, IP enabled devices of all kinds) as payment tools. I also see more convergence within the POS space, where merchants, payment networks and others continue to give consumers choice at the register.

Dominic Schaffer, VP of Sales – Western US Region

The recent joint statement from the Federal Reserve Board, the Consumer Financial Protection Bureau, the Federal Deposit Insurance Corporation, the Office of the Comptroller of the Currency, and the National Credit Union Administration, announcing support for the use of alternative data in credit underwriting will fuel more innovation in lending. The sub-prime and thin file markets will see the biggest benefit with better loan products and services available for consumers and an improved customer experience. The challenge will be for businesses to effectively use alternative data to make more informed decisions and manage risk while complying with federal regulations.

Julie Mannella, Director of Sales – Canada

2020 will see lenders cutting costs by moving away from legacy systems and building the technology stacks needed to improve efficiency and support single-platform engagement. Given the rapidly evolving landscape of big data and access to the same, it will also be important to contemplate the architecture of these systems to connect to many types and sources of new data becoming available.

Gaston Peralta, Director of Business Development – Latin America

2020 in Latin America offers huge innovation opportunities, especially as lenders harness alternative data, social identity, and technology to derive credit scores.

The opportunity to reach more and more of the underbanked market using technology is immense…The areas that will see more growth are the ones who make the most intelligent use of data and expand the use of AI.

We will see a new era of advancement for the use of technology in the form of regulations and the launching of RegTech. FinTechs can benefit from the expansion of regulations if they capitalize on their flexible technology and digital-first approach to respond quicker than traditional banking institutions to the new rules.

Additional monetization opportunities are available to innovative organizations who commoditize services as well as products. For example, the low cost of FinTech could convert previously neglected banking services into very effective financial products.

Europe

Chris Kneen, Regional Sales Manager – United Kingdom

There has been an explosion of data in the last couple of years and the banking sector is currently one of the top investors by industry in big data and analytics solutions. The amount of data being generated is vast and unprecedented via card transactions, cash withdrawals, e-commerce and credit scores. Understanding how that data can be used, within a regulatory compliant framework, will be critical to staying competitive in 2020. I expect the sector to continue to invest heavily in data science and intelligence functions to really understand the value that can be gained.

There has also been a significant growth in the ‘buy now pay later’ e-commerce sector with Klarna leading the way globally. There are some huge benefits to the consumer, the purchasing experience is slick and it has changed the way merchants operate online. This growth is set to continue with new entrants looking to compete in this sector and push innovation further. Importantly, I expect there will be additional oversight and scrutiny from the regulator to prevent increasing levels of consumer debt and increase awareness of the risks in borrowing.

Marcus von Rahden, Regional Manager – Central and Eastern Europe

The fintech and traditional banking ecosystem is growing quickly in strength across many European cities including Krakow, Sofia, Amsterdam and Vienna. Klarna have recently announced their move to create a tech hub in the heart of Berlin as a centre of innovation. We also have clients that are exploring the use of social media to facilitate direct consumer loan applications – this is really exciting. These cities are attracting exceptional talent from across the world and I see the sector growing stronger with the development of new disruptive technologies. The combination of big data analytics, cloud tech and machine learning has the potential to change the whole banking industry in faster and more disruptive ways than ever before.

Inigo Rodriguez Navarro, Regional Sales Manager – Iberia

There is some really interesting work been done on machine learning and this is an area I see lenders developing further throughout 2020. Through their brands Plazo and Moneyman, ID Finance have developed lending products to SMEs and the underbanked that that are built on sophisticated machine learning technology. Using this technology to address financial inclusion is really exciting for the industry. Business and consumer lending remains the main area of focus for customer innovation, but I believe there’s an opportunity to translate this across other sectors including utilities and insurance.

Patrick Radise, Senior Sales Executive – Nordics and Baltics

A major driver for banks in 2020 will be a strategic response to PSD2 EU regulation. Almost every bank seems to be massively increasing their levels of investment in innovation in their digital channels and partnerships with FinTechs.

Automation and speed will be essential to compete as we move forward and AI/ML can be a key part of the technology for achieving that. To add value to the end customer, I believe leading banks and FinTechs will be the ones that integrate AI/ML/Automation into all parts of the bank based on the customer journey and experience for a proactive lending service.

Regulation for AML/Fraud is likely to drive digital development/payments and automation.

Asia-Pacific

Tim Kerslake, Account Director – Australia and New Zealand

In 2020 lenders, including existing credit/debit card providers, will need to either adopt or respond to the rise of Buy Now Pay Later financing. A number of existing firms are looking at ways of doing so, such as CBA partnering with Klarna and Latitude Financial Services launching LatitudePay. I expect others to respond.

Several neo banks received banking licenses and established themselves in the market in 2019. In 2020, we will see their offerings launched in more detail, and beyond transactional and saving services we should start to see more financing/lending offerings come into the market.

Open Banking is scheduled for 2020, it will provide greater data access for assessing lending, particularly for neo banks and FinTechs.

Patrick Tan – Regional Sales Director – Singapore

With more than 400 million people using the internet every day and over 80% of it on their mobile phones, there is a significant demand for mobile wallets, mobile payment apps and mobile banking. The governments in Southeast Asia are pushing for a cashless economy. Vietnam’s government has also made a target to become cashless by 2020, while Indonesia aims to be the largest digital economy by 2020. There are other sub-sectors in fintech like insurtech (insurance technology), regtech (regulatory technology) and robo-advisory personal finance platforms, that are still continuing to emerge.


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Global Roundup – Innovation in Financial Services 2019

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Global Roundup –
Innovation in Financial Services 2019

2019 has flown by, and even though it feels like we just welcomed in the new year, there’s less than two weeks to go until 2020! This year was incredibly exciting for the Provenir team as we expanded into Canada, opened offices in San Francisco and Miami, grew our Europe and Asia-Pacific teams, and extended our footprint in Latin America.

As a global company we love to learn about the industry trends and innovation opportunities our teams are witnessing in their respective regions. It’s a great chance to learn from regional trends and spot new innovation opportunities! So, we asked our team of sales executives from around the globe to share their answer to the following question:

What were the most exciting developments in the financial services/lending industry in 2019?

The Americas
Brendan Deakin, Sales Executive – Northeast US Region

The industry saw three key areas of innovation during 2019:

  1. The launch of Open Banking/API driven access to financial services is driving up innovation of, and consumer access to, personalized banking services vs. a historical one-size fits all/product penetration focus by most banks.
  2. More and more established players are committed to the digital channel like never before. This is being done to fight the competition from new FinTechs, which continued to grow in number throughout the year.
  3. AI and Data Science are taking hold, banks are looking to leverage the massive amounts of data they generate through customer interactions, product utility, etc. This is actually creating a new paradigm in the market, where banks can look to reduce their reliance on 3rd party vendors like Credit Bureaus in the future by leveraging all of the “on us” data on consumers. This will help them build better cross-sell and up-sell opportunities for existing customers while also building acquisition strategies based on these massive data sets.

Dominic Schaffer, VP of Sales – US West Region

The US will look back on 2019 as a landmark year for alternative data! In their recent statement the Federal Reserve Board, the Consumer Financial Protection Bureau, the Federal Deposit Insurance Corporation, the Office of the Comptroller of the Currency, and the National Credit Union Administration, announced support for the use of alternative data in credit underwriting. In summary, the agencies said that alternative data can:

  •  Improve the speed and accuracy of credit decisions
  • Help firms evaluate creditworthiness of people who might not be able to get credit in the traditional system
  • Help users get better pricing & terms

With the use of alternative data greenlit, when used in compliance with existing rules, lenders can explore a huge range of data to drive smarter decisioning. We’ve also seen a big focus on cash flow analysis—basically analyzing a user’s income and expenses over a period of time to figure out the borrower’s capacity to repay a loan.

Julie Mannella, Director of Sales – Canada

With the Canadian economy being driven by the consumer-first mindset 2019 saw increased pressure for businesses to deliver world-class user experiences. Consumers are demanding that their financial institutions deliver a frictionless, convenient digital experience. They want single-platform engagement and easier access to the products and services, with rapid delivery and value delivered for their money. This is leading organizations to rely on their IT team to drive transformation and innovation in more ways than ever before, putting a strain on these business units to deliver.

Gaston Peralta, Director of Business Development – Latin America

2019 was a big year for financial services in Latin America with an increase in venture capital and investments from large financial institutions into FinTechs is a highlight. Capital investments in startups and FinTechs are surpassing the 3 billion USD mark in Latin America alone. This kind of capital has never been seen before according to Andre Maciel from Softbank, which manages a 5 billion USD investment fund dedicated solely to Latin America. Maciel also claims that they have their mindset on 300 additional capital contributions to Fintechs in LATAM, with 200 of those in Brazil.

The expansion of nontraditional lenders, in the form of marketplace lenders, replacing banks for previously underserved markets, was also a key shift in the industry. Lenders are exploring the inclusion of Social Media to create financial identities and data from alternative sources has replaced the use of traditional credit scores to extend credit options into sub-prime and thin file markets.

Europe
Chris Kneen, Regional Sales Manager – United Kingdom

Over the last 3 years, there has been a surge in new challenger banks entering the UK market, set up to disrupt the sector and compete with the incumbents. This growth has accelerated in 2019 with Monzo, Starling Bank, and Revolut gaining a higher volume of customers. Setting up an account has become simple, fast and frictionless with innovative use of video identity verification.

2019 has also seen a second wave of challenger banks that are challenging the first breed including Tide, Bunq, Monese, Curve and Tandem. Natwest has also launched its standalone brand Bo to compete in this segment. Increased competition is great for innovation, but whilst the new challenger banks are gaining customers in impressive volumes, there’s a question around how many are switching their primary accounts. Monzo has 3 million UK customers, out of which, 1 million customers have fully committed to using a primary account. This 1 in 3 ratio will be something Monzo will be looking to improve on in 2020. Figures announced recently also show that only 14% of Curve’s 500,000 customers are ‘active users’.

Marcus von Rahden, Regional Manager – Central and Eastern Europe

Throughout 2019, the Central and Eastern Europe market has been fast-moving, with lots of innovation across the finance sector. There’s been continued investment and expansion in larger Fintechs including Numbrs, N26, Wefox, and Adyen. We’ve seen comparison platform Check24 apply for a banking license, several new mobile-first consumer and SME lenders launch to market and open banking payments solutions developed following the introduction of the PSD2 regulations.

Inigo Rodriguez Navarro, Regional Sales Manager – Iberia

2019 has seen many banks and lenders working hard to boost innovation following the introduction of the PSD2 payment regulations. Although there have been delays in publication of the technical standards the new regulations created an opportunity for disruption. Institutions such as BBVA have been leading the way in Spain, partnering with new FinTechs to create disruptive models through open APIs and platforms. The transition period is set to continue throughout 2020 when further technical requirements are rolled-out.

The Spanish FinTech ecosystem is growing tremendously and the sector generates over 5,000 jobs, which is set to double in 2020. The emergence of ID Finance, Bnext, and Pagantis shows the growing strength and diversity of the market, alongside the established banks.

Patrick Radise, Senior Sales Executive – Nordics and Baltics

Many new FinTech and startups entered the lending market across the Nordics and Baltics in 2019. They compete with better speed, technology, and lower cost/overhead. Klarna and iZettle have been great examples of payment businesses that have scaled their models globally in a rapid timeframe.

The use of automation and AI/ML grew. Many, especially in the Baltics already have automated consumer loan processes with many aiming for a 95% automation rate for consumer products and a slightly lower percentage for the B2B segment. Most banks are already using machine learning technology for areas like Anti Money Laundering, Fraud, and Customer Relationship Management, and exploring its use in lending processes.

Finally, there’s been an increased focus on Green loans, which are increasingly attracting Millennials and environmentally conscious people.

Asia-Pacific
Tim Kerslake, Account Director – Australia and New Zealand

For Australia, the most significant event in 2019 was the delivery of the final report of the Royal Commission into Banking (Feb 2019) and the subsequent consequences. Following the report, two of the region’s major banks—National Australia Bank and Westpac—had senior leadership changes, we’ve seen increased vigilance from the regulators ASIC and APRA, and there’s an increased focus on responsible lending practices.

Australia and New Zealand saw the continued rise of the Buy Now Pay Later segment both in terms of growth of transactions/value as well as the number of entrants. This sector is led by AfterPay which has commenced a global expansion. We also saw an announcement by Klarna that they will launch in Australia and an investment by Commonwealth Bank into Klarna.

Patrick Tan, Regional Sales Director – Singapore

Overall in 2019, the banking sector has been playing catch up with FinTechs by either using their technologies or collaborating with them. Banks are also increasingly investing in startups, hoping to catch the latest technologies and keep them close by.

2019 also saw a huge rise in mobile digital transactions, which helped drive an increase in mobile payment apps that facilitate the transfer of funds for purchases. For example, digital and mobile payments make up 30% of the FinTech industry in Thailand.

The potential for FinTechs to disrupt financial services is tremendous. Banks, who are slow to market and heavily regulated by central banks, have struggled to grow adoption of bank services in the region with only 27% of the adult population owning a bank account. 2019 saw FinTech companies, who are nimble and less impeded by regulations, tap into this lack of access to financial services with Grab and other similar tech companies venturing into the digital payments sector.


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Provenir Builds on Global Presence with Expansion into Canada

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Provenir Builds on Global Presence
with Expansion into Canada

Provenir Builds on Global Presence with Expansion into Canada

Provenir opens Toronto office, led by Julie Mannella, to support growth into Canadian Financial Services Market

New Jersey, US – November 20, 2019Provenir, leader in decisioning and analytics software, today announced Toronto as the home for their new Canadian branch. The Toronto location will support Provenir’s expansion into Canada and act as a Provenir resource hub for clients in the region. The Toronto office builds on Provenir’s growing global footprint, which includes offices in the UK, Singapore, and the US.

Provenir’s Director of Sales, Julie Manella, based in the Toronto office, will spearhead the company’s expansion into the region. “Canada is home to incredibly innovative financial services companies, and we’re thrilled to join the thriving FinTech community in Toronto.” Says Mannella, “Our new Canadian footprint empowers us to form much closer partnerships with both new and existing clients across the region. We’re excited to join forces with lenders from coast-to-coast. It’s a fantastic opportunity to help them propel decisioning innovation forward with the implementation of sophisticated risk strategies.”

The Toronto office is located at the heart of the Financial District.

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, LATAM operations in Miami, and APAC operations in Singapore. For more information please visit www.provenir.com.

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Provenir Announces Expansion to Global Footprint with New Miami Location

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Provenir Announces Expansion to Global Footprint with New Miami Location

Provenir’s new Miami office, headed by Gaston Peralta, expands support for expansion into Latin America

New Jersey, US – July 22, 2019 – Provenir, leader in decisioning and analytics software, today announced Miami as the location for their latest regional branch. The Miami location expands support for Provenir’s growth into Latin America and provides clients with more convenient access to Provenir resources. The Miami office adds to Provenir’s global presence, which includes teams based in the UK, Singapore, and at their New Jersey headquarters.

Gaston Peralta, Provenir’s Director of Business Development for the LATAM region, heads the Miami team. “The growth of innovative financial service organizations in Latin America offers an exciting opportunity for Provenir.” Says Peralta, “And, with the addition of a Miami team, we’re in a much stronger position to help our clients in the region implement sophisticated risk strategies that power innovation in all areas of financial services. We’re thrilled to have the opportunity to work with new partners and support our existing clients growth throughout Latin America.”

The Miami office is located at the heart of the Miami Brickell Financial District.

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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Who Will Rise to Claim Payments in Southeast Asia?

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Who Will Rise to Claim Payments in Southeast Asia?

The Southeast Asia marketplace economy is booming, with arguments over whether Thailand — with 11 million online consumers expected to double every three years — or Indonesia, expected to have a $130 billion e-market by 2020, is truly in the lead for the region. Beyond those two nations, there are a number of e-commerce and marketplace economy startups in other Southeast Asian countries, including 270+ in Singapore and over 30 in Vietnam.

The landscape for payments in Southeast Asia is particularly intriguing because it’s a potentially huge market with no one payments player dominating the region. China, has seen Alibaba and WeChat Wallet split their payments economy. The U.S. has PayPal and Venmo (now the same company), and Africa has M-PESA. But despite nearly a trillion dollars of potential value in Southeast Asia, no one has risen to the top. 2.5 billion people globally don’t have a bank account, and a hefty chunk of those reside in Southeast Asia. Most payments systems in the first world are tied back to bank accounts; even the ones that don’t, like M-PESA, tend to have solid local reach.

The Challenge of Payments in Southeast Asia

Perhaps the biggest challenge with creating a regional payments platform throughout Southeast Asia is that each country has a very unique culture. The adoption of e-payments or mobile payments varies greatly among the individual countries that make up the region. Take for example Singapore, 74% of the population still prefers card payments over other options. Whereas only 27% of payments are completed by card in Indonesia. Creating a payments platform that fits the cultural needs of individual countries in Southeast Asia will be key to creating a payments service that gains regional traction. Companies can and are choosing to tackle this problem in a number of ways:

  1.  A country by country expansion backed by local teams with a deep understanding of the local market
  2.  Strategic partnerships with payments businesses in target countries
  3. Purchasing/investing in local payments providers

Which method will drive the most success has yet to be seen!

Contenders Vying for Payments Dominance

So what payments companies in Southeast Asia are standing out in a crowded, locally-driven marketplace economy? Who could rise? We explore four innovative companies looking to succeed in Southeast Asia below.

The contenders:

  • Grab
    Grab, the Southeast Asian decacorn that originally started as a ride sharing app, is now headquartered in Singapore after originally launching in Malaysia. It jumped into the payments industry in 2016 with the launch of GrabPay. Now available throughout Southeast Asia, Grab offers a variety of financial services through its digital wallet, including payments, with plans to expand into micro-loans, insurance, and monthly post-payment options. Grab is using strategic partnership to expand its footprint in Southeast Asia and has partnered with Maybank, OVO, and SM Investments Corporation, to expand its footprint. GrabPay is expected to launch in Thailand in 2019.
  • Go-Jek
    Go-Jek is another Southeast Asian company that started life as a ride hailing app and expanded into the financial services scene. Go-Jek powers payments through its Go-Pay digital wallet which is Indonesia’s leading e-money wallet.
    Go-Pay has made significant inroads into Southeast Asia and has purchased three fintech companies—Kartuku, Mapan, and Midtrans—to help provide the foundation for its financial services and facilitate its expansion. The addition of these business gives Go-Pay access to technology and talent in the payments, lending, and savings spaces to help power their spread throughout the region.
  • Ant Financial
    Ant Financial, which originated from Alipay, is another financial technology company that could rise to take the payments crown in Southeast Asia. With a large and loyal consumer base in China, its home country, Ant Financial is making deliberate steps into the Southeast Asia region. Ant has made strategic investments in companies offering mobile payments wallets in the region to extend the reach of it services. Through investments and partnerships in local businesses Ant Financial now powers payments services in both the Philippines and Thailand.
  • Singtel Dash
    The Dash Platform is an all-in-one mobile payments solution from Singapore’s largest telco Singtel. Singtel has developed the Via alliance, which builds partnerships with other e-wallet and payments platforms around the world including Southeast Asia. As a result of the continuously evolving alliances Dash platform subscribers can now or soon will be able to pay for goods and services using their Dash wallet in a number of countries including Indonesia, Thailand, the Philippines, Malaysia, Indonesia, India, and China. Singtel is using these partnerships to bridge cultural differences between the countries within Southeast Asia to create a cohesive regional payments solution.

Mobile-First

One of the reasons for the crowded payments space in Southeast Asia is that it’s genuinely a mobile-first part of the world. Consider the case of Indonesia:

Further evidence that Indonesians have embraced mobile-first initiatives comes from social media, with Indonesians having the highest mobile Facebook usage rate worldwide, with 63 million users in 2015. Further projections put Indonesians’ future Facebook access via mobile being almost 99 percent by 2018, showing a real dominance over desktop platforms. The mobile-first path that Indonesia has taken also allows retailers to focus on creating mobile functionality, presenting unique opportunities to dominate in the retail space.

Because some countries in Southeast Asia have massive populations (Indonesia, for example, is north of 250 million), the mobile-first movement is a huge deal. This allows the seller side to have hyper-personalized data and tailor their products even more, as opposed to generalized swaths of information about a huge population. That’s also why so many companies are rushing into the payments space — it’s a relatively low barrier to entry, and the inherently mobile nature makes for better decision-making around what users want.

70-80% of Southeast Asians should be on smartphones by 2021, which would approach U.S. and Japanese levels. But there are already major payments players in those spaces, and not so among the southeastern Asian economies.

Uniquely Southeast Asian

It should also be noted that one quirk of the Southeast Asian marketplace economy is that e-commerce developed before payments or logistics, meaning it spent years as a series of informal markets on platforms like Instagram. Only recently have payments been formalized in the area.

Also critical to understand in Southeast Asia: if you analyze net promoter score, a quality metric for customer advocacy, local payment systems — if fragmented — consistently score higher than major enterprise options based elsewhere. For example, in Indonesia Tokopedia (local) has an NPS of +7 while Amazon’s NPS is -24.

To fully understand how the sharing economy might impact and affect Southeast Asia and other regions where it’s not fully emergent, it helps to more broadly understand the landscape of the sharing/marketplace economy.

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Creditsafe Announces New Partnership with Provenir

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Creditsafe Announces New Partnership with Provenir

“This new approach to data will allow organizations to successfully deploy their risk strategies and in turn allow them to focus on providing their customers with a better experience”

Global business intelligence specialist Creditsafe has announced a new partnership with risk decisioning and data science solution Provenir to provide automated investment and credit risk decisioning to businesses.

The partnership will see Creditsafe incorporate Provenir’s risk decisioning and data science platform into its Connect API, allowing connection to major CRM and ERP systems. This will allow users to be able to access and analyse financial data regarding possible investment and lending opportunities in real-time. Thanks to this new partnership companies will be able to make more informed choices, reducing the risk of bad debt and empowering business growth.  Automating the credit check process will allow businesses to incorporate data concerning a company’s financial health into the onboarding process, reducing the need for manual data checks that take time and increase the likelihood of human error.

Read the full press release here.

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Lost in translation—are risk model deployment challenges slowing you down?

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Lost in Translation—
are risk model deployment challenges slowing you down?

If they are, you’re not alone.

The recent Rexer Data Science Survey found that only 10-15% of companies “almost always” successfully deploy analytics models.

If your organization isn’t in that top 15%, you’re probably already feeling two things:

  1. Frustration caused by deployment delays
  2. Pressure from above to make it happen

The cost of delayed or failed deployment

So, before I get into the challenges preventing rapid deployment and how organizations can overcome these hurdles, let’s answer the bigger question… why should we care about model deployment rates?

There are many reasons why a business needs to be able to deploy a new risk model quickly and easily, but there are a few that really stand out in today’s digital-first world. Rapid deployment:

  1. Drives business growth—Analytics models are a key part of a risk strategy, they help drive business growth by making risk decisioning more accurate, which means more customers and lower default rates.
  2. Improves customer experience—Customers now expect instant everything, risk and analytics models help businesses make real-time decisions and gain customers in increasingly competitive markets
  3. Empowers competitive advantage—Companies that can test and deploy models quickly are able to make iterative changes to models using the most up-to-date data, making them better able to adapt to market demands.

Could you say that in Java, please?

One of the biggest reasons strategic analytics projects are often deployed late is the disconnection between the risk team and the development team.

The root of this developer-data scientist disconnection is that the two different groups literally don’t talk the same language. The modeling languages of choice for data scientists are generally Python, R (both open source languages), and the proprietary SAS. These are not usually the same languages preferred by developers, who favor Java, JavaScript, and variations of C such as C++.

So, typically data scientists create and test their analytics models—say a credit approval and verification application—using their languages. This work is then sent to the development teams, who then often spend a lot of time and costly effort recoding into their own languages so the model can be tested for security, compliance, impact on the infrastructure, and so on. Any changes that need be sent back to the data scientists for further review and approvals will kick off the same lengthy recoding processes, only in reverse.

The result? Fast time-to-market goes out the window. And if projects are deployed late enough, market conditions often will have changed so much that the reasons for deploying in the first place no longer exist, and the project is essentially dead on arrival.

Data delays

Another culprit in the model development and deployment process is the fact that data is very often located all over the organization in protected silos. This is particularly true in highly regulated industries like financial services, where security and privacy concerns meet compliance realities. Historical data may be found in one or more silos, and transactional and production data in others. Data scientists needing elements of all these data have to root around to find and gain access to it.

But that’s not all, the digitization of many types of data has led to a huge range of new data sources, many of which can be highly useful to data scientists when predicting credit risk or fraudulent activity. As each new data source emerges it needs to be integrated into the businesses decisioning solution if it’s to be utilized by analytics models.

While integrations should be simple, many organizations struggle with creating or updating data source integrations due to inflexible technology that requires extensive hardcoding. Each new data source included in a model can result in lengthy delays to model deployment as they need to be completed before the model can be fully tested and pushed to a live environment.

Say hello to your guide and translator: Platform technology

It’s fair to say that many of the delays to risk model deployment are caused by processes, not people. It’s also fair to say that the rapid advancement of technology has made it difficult to keep up with new analytics models to tackle an ever-evolving model. So, what can you do about it?

Well, what if your process problems caused by technology, like having to translate models from one language to another, or manually updating hardcoded integrations, could be solved by technology?

So, instead of your risk team creating a model in one language, then your dev team translating it into another language for your risk engine, you could opt for a model agnostic risk platform instead.

For data scientists and developers ‘talking different languages’, being model agnostic effectively removes the intermediate steps of recoding between the two different teams. Instead data scientists can upload their models directly in their native languages, which allows them to fully utilize new analytical techniques.

These types of platforms help prevent the loss of analytics models that never get deployed due to prolonged development and deployment cycles.

Technology can also be an effective solution for data integration challenges, which both fintechs and traditional financial institutions still struggle with as a result of hardcoded connections that are often built to serve a specific purpose at a specific time.

Today’s digital market requires businesses to be able to create agile technology that can be quickly updated or repurposed throughout an organization to meet many needs.

For optimum flexibility and business agility it’s essential that data integrations can be created, used, reused, and updated quickly and easily. Again, integrations have traditionally relied heavily on over-burdened dev teams for what should be simple adjustments. Instead of following these traditional integration processes businesses now have the opportunity to use technology that empowers business users to handle the integration mapping process.

This means that the risk team can be far less reliant on the dev team for ongoing adjustments as they can easily map source data into analytics models.

Gaining business agility through simplified model deployment processes

What this really comes down to is using technology to simplify business processes and empower people to do more. By using specialized software solutions that remove steps in the model deployment process and reduce the reliance on development your risk teams are able to focus on current problems and initiatives to drive business growth. They’re able to respond more quickly, make changes more easily and implement a risk strategy much more efficiently.

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