Tag Archives: Analytics

Analytics & Optimization Using Alternative Data in Credit Risk Modelling

Aug292017

“Whenever I bring up the topic of alternative data, the first question our board asks is, ‘Are we using Facebook data?’ “ This comment from a participant in our recent EMEA Risk Leadership Forum caused a lot of chuckles and nodding heads. When it comes to evaluating credit risk, everyone wants to know if, when and how lenders will start probing their Facebook account. For reasons that will be obvious to lenders, that tantalizing possibility doesn’t actually top the list of data sources to mine. In fact, at the forum we explored a few sources of data that can add to the picture of a consumer’s creditworthiness. Multiple Types of Alternative Data What is alternative data? In credit granting, it generally refers to any data that is not directly related to a consumer’s credit behavior. Traditional data usually means data from a credit bureau, a credit application or a lender’s... [Read More]

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Analytics & Optimization Modelling Deposit Price Elasticity: What Data Do You Need?

Analytics on screen
Aug142017

This is the second in a series of blog posts on deposit price elasticity, focusing on the modelling data requirements. There are several different modelling techniques and approaches to measure deposit price elasticity, which is dependent on the actual business problem and model usage. The exact data requirements might need to be amended to account for the modelling technique, but a large number of data items are consistent across all approaches. As with all modelling projects, it is good to initially take a step back and think about what type of information you would expect to be predictive, impact deposit price elasticity, and make you move your savings across different products and / or financial institutions. We would suggest that considering the below fields would be best practice for a deposit price elasticity model development: Product details: Historical interest rate of the product(s) to be modelled, this would include retention... [Read More]

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Fraud & Security Cybersecurity: To Be (Empirical), or Not to Be?

Hamet with data background
Aug022017

That is the question for cybersecurity risk assessment. FICO has been in the analytics business since our inception back in 1956.  Our founders, Bill Fair and Earl Isaac, had the novel idea that businesses could make better decisions through data. Before anyone thought to call the resulting algorithms “analytics,” they set off to create game-changing approaches to correlating signals with outcomes to help companies manage risk, reduce expense, and maximize opportunities. Bill and Earl began looking for problems they could solve through an empirical analysis of data, and credit underwriting was a use case that was well-suited to the technique. Most credit-granting organizations had credit applications tucked away in filing cabinets (a source of consistent signal data), and most also had a reasonable handle on outcomes – i.e., who was managing credit to terms and who was in arrears or in default. The ability to relate data known at the time of the... [Read More]

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Analytics & Optimization The Future of AI: Redefining How We Imagine

FICO 25 years of AI and machine learning logo
Aug012017

To commemorate the silver jubilee of FICO’s use of artificial intelligence and machine learning, we asked FICO employees a question: What does the future of AI look like? The post below is one of the thought-provoking responses, from Sadat Nazrul, an analytic scientist at FICO, working in San Diego. Looking at the next 20 years, I see us moving well beyond the productivity enhancements AI has brought about so far. With the advent of AI, we will be seeing a renaissance in our own personal lives as well as society as a whole. Healthcare Today, our gadgets have the ability to monitor the number of steps we take, the rate of our heart beat, as well as the contents of our sweat. All this rich information allows a team of doctors, engineers and analysts to monitor our well-being and to maintain our peak performance. Similarly, with innovations in genomic sequencing... [Read More]

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Analytics & Optimization Analytics Achievers Wanted for FICO Decisions Awards

FICO Decisions Awards logo
Jul052017

A company that solved an “unsolvable” wind farm optimization problem. An automaker that uses analytics to keep more delinquent customers in their cars. An airline that uses optimization throughout its business to improve customer service and efficiency. These are just some of the past winners of the FICO Decisions Awards – and now it’s time to find the next set of innovators. We’re looking for companies that are achieving outstanding success using FICO analytics and decision management solutions. Awards will be presented in six categories: Artificial Intelligence and Machine Learning Customer Onboarding and Management Debt Management Decision Management Innovation Fraud Control Regulatory Compliance. Winners will receive recognition at FICO World, which will be held April 16-19, 2018, in Miami. Winning implementations will be featured in conference activities, and two representatives of each winning company will receive complimentary conference passes. Nominations are due September 1, and winners will be announced in... [Read More]

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Analytics & Optimization The Future of AI: It’s Good, But Should We Trust It?

FICO 25 years of AI and machine learning logo
Jul032017

To commemorate the silver jubilee of FICO’s use of artificial intelligence and machine learning, we asked FICO employees a question: What does the future of AI look like? The post below is one of the thought-provoking responses, from Imran Ali, a senior engineer in our Tools Department, working in Bangalore. “I propose to consider the question, Can machines think?” Artificial intelligence has come a long way since that opening statement was made by A. M. Turing in his seminal 1950 paper Computing Machinery and Intelligence. AI has become very popular because it has metamorphosed from being of theoretical interest to something that is creating value in business. To gain further success, AI has to answer an important question that every business has to answer. Consumers will ask, “You are good at what you do, but should I trust you?” Can I trust you with my money to trade with? Can... [Read More]

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Fraud & Security The Story Behind Europe’s €1.8 Billion Card Fraud Problem

Jun292017

FICO has just released an interactive infographic on European card fraud trends since 2006, showing that card fraud in the 19 countries studied has hit a new high of €1.8 billion. In the UK, card fraud also a hit a new high in 2016, £618 million, though the rise was less than the rise from 2014 to 2015. To understand what these numbers mean — and what issuers need to do now — it’s important to know how got here. That’s why our map tracks the data back to 2006. Why is 2006 so important? That was the year of ‘love my PIN day on Valentine’s day’ in the UK, as the liability shift between magnetic stripe and chip & PIN technology had been put in place during 2005. So chip & PIN was officially rolled out across Europe and executives expected to see the benefits of that investment in... [Read More]

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Analytics & Optimization The Future of Analytics: The Revolution Will Be Unstructured

Picture of Osvaldo Driollet
Jun052017

Although there has been much speculation over this statistic’s origin, most industry experts agree that 80% to 90% of the world’s data is unstructured data, and about 90% of it has been produced over the last two years alone. Of these unthinkably vast stores, only 0.5% is effectively analyzed and used today. In the business world, most unstructured data lies in customer-related text, which is abundant and available. However, most organizations don’t know how to efficiently extract predictive elements from unstructured customer data. They’re not sure how to reap the value of these insights by using them to boost the performance of predictive analytics, and make better operational customer decisions. But, done right, extracting valuable predictive insights from huge quantities of text takes just seconds. The Future Is Unstructured The tech industry is full of predictions, but in this one, I have high confidence: The future is unstructured –– because... [Read More]

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