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> Posted by Nadia van de Walle, Senior Research Manager, Financial Inclusion Insights, Intermedia

The State Bank of Pakistan’s (SBP) National Financial Inclusion Strategy (NFIS), launched in May 2015, set an ambitious goal of expanding access to financial services from 10 percent of adults to at least 50 percent by the year 2020. Intermedia’s newly-released Financial Inclusion Insights (FII) data suggests that, as of 2016, Pakistan’s progress was not yet on a trajectory to get to 50 percent. It also suggests ways Pakistan could improve the rate of progress.

FII’s new 2016 Pakistan Annual Report and Survey Data finds that financial access rose only incrementally, from 15 percent to 16 percent, in 2016. More than 45 million more adults would need to take up a formal financial account for the country to achieve 50 percent financial inclusion as defined by the NFIS. Further, even if access is improved, registration and regular use of accounts may lag and prove a steeper climb. The percentage of adults holding registered accounts with a full-service financial institution did not increase at all over the last year, measuring 9 percent in 2015 and 2016. Similarly, active registered users over the same period remained unchanged at 8 percent.

However, these figures could be improved if the gap between the formal products on the market and Pakistanis’ actual, day-to-day financial needs and preferences is addressed, FII data indicates.

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> Posted by Center Staff

(click to enlarge)

The volume of data in the digital universe doubles in size roughly every two years, estimates indicate. The phrase “data rich” has become common business parlance. In the financial inclusion sector, big data is revolutionizing credit underwriting, product development, client segmentation, financial capability-building, and more. But how is this revolution actually happening? For many banks, it’s through partnerships with fintechs. Ujjivan, one of the largest microfinance institutions in India, recently chartered as a small finance bank, had until recently a limited portfolio at the SME level, which was hindered by high operating costs. This changed thanks to a partnership with the Bangalore-based fintech Artoo.

This partnership is described in CFI’s new joint-report with the Institute of International Finance (IIF), How Financial Institutions and Fintechs Are Partnering for Inclusion: Lessons from the Frontlines. We discovered dozens of partnerships between mainstream financial institutions and fintechs in emerging markets, and we detailed the workings of 14 of them. The partnership between Ujjivan and Artoo is just one example among many of how financial institutions are increasingly turning to fintechs to improve how they effectively collect, use, and manage data.

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> Posted by Dr. Katharine Kemp, Research Fellow, UNSW Digital Financial Services Regulation Project

The following post was originally published on the IFMR blog. 

Financial inclusion is not good in itself.

We value financial inclusion as a means to an end. We value financial inclusion because we believe it will increase the well-being, dignity and freedom of poor people and people living in remote areas, who have never had access to savings, insurance, credit and payment services.

It is therefore important to ensure that the way in which financial services are delivered to these people does not ultimately diminish their well-being, dignity and freedom. We already do this in a number of ways – for example, by ensuring providers do not make misrepresentations to consumers, or charge exploitative or hidden rates or fees. Consumers should also be protected from harms that result from data practices, which are tied to the provision of financial services.

Benefits of Big Data and Data-Driven Innovations for Financial Inclusion

“Big data” has become a fixture in any future-focused discussion. It refers to data captured in very large quantities, very rapidly, from numerous sources, where that data is of sufficient quality to be useful. The collected data is analysed, using increasingly sophisticated algorithms, in the hope of revealing new correlations and insights.

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CFI Fellow Patrick Traynor, an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida, explains the second part of his research effort on the security and privacy of data in digital lending applications. Patrick’s previous post, explaining the first part of his research on evaluating the privacy policies of digital lending applications, can be found here.

“I’m sorry, but we are just not interested in providing security for our customers.”

Here is a phrase that you are unlikely to see from any company, at least if they want to stay in business. In fact, you are far more likely to see statements to the opposite. Yet time and again, the same services that tout security as something they care about prove to be tremendously vulnerable. Think about it – when was the last week that you didn’t hear about stolen Bitcoins, ransomware attacks, or data breaches?

If companies care so much about security, what is going on?

What Does “Secure” Mean?

Security is one of the least well-defined terms I know. By itself, it completely lacks context. Secure against what? Against whom? Under what conditions? Based on what assumptions?

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> Posted by Kimberly Lei Pang, Digital Learning Specialist, UNICEF

In the story of Ali Baba and the 40 Thieves, the magical word “sesame” was used to open the seal of a cave where Ali Baba found hidden treasure. In China today, the same word is connected to another kind of magic, one that reveals hidden identities of the socially and economically disadvantaged. Sesame Credit (“芝麻信用” in Mandarin) is a product launched by Alibaba that pulls from transaction records on e-commerce platforms to understand a person or company’s creditworthiness. Such innovation in credit scoring is part of the “social credit system” that the Chinese government is building to make up for the longstanding shortage of credit data.

Access to credit, a major indicator of financial inclusion, has gained increasing attention from Chinese policymakers in recent years. For a country experiencing an economic slowdown and widening income gap between the rich and the poor, credit accessibility has the potential to spur growth and level the playing field for the poor. However, despite China’s efforts to improve financial access, a large portion of its population neither uses nor has access to credit. Data from the World Bank’s Global Findex study showed that Chinese people (aged 15+) have relatively high levels of formal bank account ownership (79 percent, 2014) but low levels of credit usage (14 percent, 2014). In fact, China’s formal credit use is the lowest among the five BRICS economies. Aside from the rigidity and costliness of financial institutions, a significant barrier to borrowing is the lack of reliable credit scoring in China. Established just 11 years ago, China’s credit bureau CCRC covers credit profiles for only a quarter of China’s 1.4 billion population and shares that information only with selected banks. Lenders thus often have no access to borrowers’ financial histories and tend to make rather arbitrary decisions on borrowers’ creditworthiness. As a result, many individuals and microenterprises find it difficult to get a loan, as steady employment and collateral assets are commonly required for formal credit.

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> Posted by Sonja Kelly, Director of Research, CFI

The role of data is increasingly crucial as the financial services industry shifts to digital delivery, alternative analytics, targeted marketing, and data-driven customer segmentation. As outlined in the recent Accion report, Unlocking the Promise of Big Data to Promote Financial Inclusion, the future of financial inclusion will include higher volumes of better quality and more wide-ranging data to expand access, lower prices, reduce bias, and drive innovation. However, the use of big and alternative data in financial inclusion is not a value-neutral trend—nor should it be.

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> Posted by Danielle Piskadlo, Director, Investing in Inclusive Finance, CFI

Ant Financial, the Chinese inclusive finance powerhouse founded by Alibaba Group, and Euronet Worldwide, a U.S. giant in the money transfer game, are in a bidding war over MoneyGram. Financially, this makes sense as the global remittance market is estimated at about US$600B and MoneyGram commands a market share of roughly 13 percent of the world’s largest remittance route, from the U.S. to Mexico.

When two large companies compete to acquire another large company you might hear about it on CNN Money and promptly move on to other thoughts. But this particular news struck me because it touches on three of the (many) insights about the future of financial inclusion that I took away from attending this year’s Harvard Business School – Accion Program on Strategic Leadership in Inclusive Finance just last month.

Big players will increasingly drive the financial inclusion sector moving forward while, in the past, only small companies served the financial needs of the low end market. Microfinance has shown the poor to be a commercially viable customer segment, and as competition heats up, many big financial players are looking for ways to better tap into the commercial potential of new clients at the base of the pyramid. These big players have the deep pockets to innovate, experiment, and take the risks required to figure out how best to serve the billions of people still financially excluded. In addition to Alibaba’s Ant Financial, China’s WeChat, the social messaging app which connects over 800 million people, now allows for money transfers.

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> Posted by Patrick Traynor, Associate Professor, the University of Florida

CFI Fellow Patrick Traynor, an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida, is launching his research effort on the security of data in mobile lending applications.

Mobile phones and networks are transforming the world of financial inclusion. However, we know that we cannot simply “copy and paste” traditional financing mechanisms into this mobile context and expect widespread inclusion. For example, the traditionally-excluded often lack the standard data lenders use to underwrite credit decisions (such as government audited tax forms, formal pay stubs, property deeds, and so forth). A plethora of companies are attempting to measure creditworthiness using alternative data – including the data trail created through mobile money applications. Alternative data for underwriting holds the potential to dramatically expand access to credit if successful, but it also poses new challenges.

For instance, how secure is data used in digital credit?

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> Posted by Antoine Navarro, Blaine Stephens and Nikhil Gehani, MIX

Enabled by technology and fueled by the desire to improve business outcomes, over 60 percent of financial service providers (FSPs) are serving clients through ATMs, mobile money, agent networks, and other channels outside of branches, according to a recent global survey by MIX. While FSPs continue to deploy these alternative delivery channels (ADCs), assessing their performance presents a challenge. Even though many FSPs are developing internal metrics to track performance, basic information like number of transaction failures is largely unavailable outside the institution. And even when such information is available to external parties, comparisons against the market are hampered by a lack of standard metrics in the industry.

With the right reporting systems and processes in place, FSPs can compare internal channel performance to optimize their channel mix. FSPs have told us they need visibility onto the rest of the market to benchmark their performance against peers, inform managerial decisions and improve actual results. MIX’s recently published report, “Measuring the Performance of Alternative Delivery Channels” aims to do just that. Through research supported by The MasterCard Foundation, IFC’s Partnership for Financial Inclusion and UNCDF’s MicroLead program, we were able to engage with a number of FSPs in sub-Saharan Africa to develop and refine a set of standard metrics. We also created initial benchmarks based on the data collected from these institutions, which are published in the report. It is our hope that FSPs around the world will begin collecting and reporting on these metrics so market actors will have a common reference point for ADC performance measurement and comparison.

What was found? You’ll have to read the report to get the full scope, but here are a few high-level takeaways.

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> Posted by Elisabeth Rhyne, Managing Director, CFI

Internet privacy rules have just been overturned in the U.S. by Congress and the Administration, and at the same time, struggles over banking privacy are taking place. There are striking similarities as well as crucial differences. As a consumer protection advocate, I am struck by how the narrative about these kinds of conflicts primarily centers on where competitive advantage lies, and which company or industry is made the winner or loser, rather than about the rights of consumers.

The internet case pits telecoms and cable companies, like AT&T, Verizon and Comcast, against internet companies, like Google and Facebook. The Obama-era rules that were just overturned required broadband providers to ask customer permission before tracking, sharing and/or selling their data. These companies complain that the rules disadvantage them relative to internet-based companies, which can collect data without such rules.

The banking case, as reported in The New York Times, pits major banks against fintechs and data aggregators. The question is whether banks will transfer consumer data – at the consumer’s request – to companies that provide personal financial management tools, like Mint, Betterment, and Digit (or to data aggregators that facilitate the transfer – like Plaid and Yodlee). Without this data the financial management apps cannot build the complete portrait of a person’s financial life they need to provide analysis and advice. But banks are reluctant, even after specific consumer requests. You might think this reluctance is to protect their customers or because of data privacy rules for banking, but actually, according to The Times, it’s because the customer data reveals details about banks’ own business models – like pricing and products. The banks fear, probably correctly, that the personal financial management companies will use the information to undercut bank products with their own offerings.

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The views and opinions expressed on this blog, except where otherwise noted, are those of the authors and guest bloggers and do not necessarily reflect the views of the Center for Financial Inclusion or its affiliates.