Category Archives: Analytics & Optimization

Analytics & Optimization GDPR and Other Regulations Demand Explainable AI

Box stamped AI
May242017

The General Data Protection Regulation (GDPR) is a wide-ranging and complex regulation intended to strengthen and unify data protection for all individuals within the European Union (EU). A year ago I blogged about the data governance ramifications of GDPR, and in this blog I’ll focus on another facet of GDPR to talk about a related analytics topic: explainable artificial intelligence (AI). First, let’s start with GDPR. Article 22 of GDPR, “Automated individual decision-making, including profiling,” concerns the use of data in decision-making that affects individuals, such as a person applying for a loan. The regulation says: “1. The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her.” Point 2 of Article 22 describes exclusions (including situations involving the person’s explicit consent, such as applying... [Read More]

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Analytics & Optimization Video: Scotiabank Cencosud Cuts Model Development Times by +50%

Cencosud video interview image
Apr192017

Ever wonder how one of Chile’s largest retailers retains over 3 million customers? We asked Scotiabank Cencosud’s Claudia Guerrero, Model Development Manager of Risk Management in its Retail Finance division. In this Cencosud video, Claudia discusses how the retailer relies on a comprehensive, integrated credit portfolio management solution developed by FICO. This enables it to make better customer decisions, from originations through customer management. In particular, FICO® TRIAD® Customer Manager successfully manages risk-based strategies for credit line increases and cross-selling, and FICO® Model Builder has helped Scotiabank Cencosud cut model development times in half, while still retaining predictive strength — which the company sees as a tremendous competitive advantage. For more information, read the Cencosud case study or visit the FICO Model Management and Compliance solution page.

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Analytics & Optimization Behavioral Analytics Attack Fraud, Cyber and Financial Crime

Hand holding analytics
Apr122017

Economies of scale is one of my favorite economic principles. It’s especially cool to see how FICO customers can realize associated benefits by using our behavioral analytic technology. IDC predicts that in 2017, behavioral analytics across compliance, fraud, and cyber detection and prevention will be in place at 15% of banks, helping them to avoid losses, regulatory fines and sanctions. Banks have already made a big start in the fraud space. FICO introduced behavioral analytics in the early 1990s and we currently analyze two-thirds of the world’s payment card transactions, in real time, for fraud. Now, FICO’s proven behavioral analytics can be applied by forward-thinking institutions to fight a wide range of financial crimes. In doing so, banks can gain powerful technology economies of scale, too, leveraging mature, market-proven analytic models to benefit new domains within their business. How do behavioral analytics work?   A quick search may tell you that... [Read More]

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Analytics & Optimization How to Build Credit Risk Models Using AI and Machine Learning

boxing poster with machine learning vs scorecard modeling
Apr062017

Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? Given the excitement around AI today, this question is inevitable. It’s also a bit silly. While some new market entrants may have a vested interest in pushing AI solutions, the fact is that traditional scorecard methods and AI bring different advantages to credit risk modeling — if you know how to use them together. Take, for example, our new credit decisioning solution, FICO Origination Manager Essentials – Small Business. It’s designed to help lenders make faster origination decisions without increasing risk. This new FICO product combines our well-established scorecard technology with AI to build better credit risk models. How FICO Uses AI to Build Better Credit Risk Models As with our other origination products, Origination Manager Essentials includes credit risk models, and these models are segmented — different types of small business customers and different... [Read More]

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Analytics & Optimization Adapting Mortgage Loan Price Optimization to Building Societies

House image with analytics
Apr032017

One of the hottest analytic technologies in mortgage lending is price optimization. This is the application of advanced analytics to pricing strategies, in order to determine the ideal price for every customer that maximizes profitability, given factors such as take-up, affordability, etc. That’s great for banks, but what about building societies and credit unions? If profit isn’t your primary goal — if you exist to serve your members — does price optimization have a place? The answer is definitely yes. Using pricing optimization, building societies and credit unions can develop strategic mortgage offers that target specific objectives, such as customer retention, without hurting the bottom line and ensuring that targets around Treating the Customer Fairly are met. This kind of optimization can really pay off – making an appropriate offer, to the right customer at the right time, typically results in 10-15% higher retention of existing customers. When building societies... [Read More]

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Analytics & Optimization How to Rate Trade Credit Risk – Without Much Data

Darth Vader meme: I Find Your Lack of Data...Disturbing
Mar282017

Allowing people or businesses to pay for things on credit is an ancient practice, and just as ancient is the dilemma: How can you tell if they will pay you back? We know how this works when lending to individuals, but sometimes granting trade credit is trickier. I recently went to visit a new FICO client who are involved in the bunkering industry. Bunkering is the business of providing fuel to shipping, and our client offers credit lines to cruise lines, oil firms and any company that needs to fill up its large vessels with black gold and all its refined derivatives. Like any other institution that offers trade credit (typical firms will pay a bunkering firm within 30 days for the fuel it has purchased), they have a bad debt problem, which is particularly important in an industry with small margins. Although some bunkering firms have turnovers well into... [Read More]

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Analytics & Optimization Why FICO Was Named a Leader in Predictive Analytics

Woman with Predictive Analytics Formulas
Mar222017

Great news, FICO was named as a leader in the March 2017 report, The Forrester Wave™: Predictive Analytics and Machine Learning Solutions, Q1 2017. This is an honor, and it underscores for us the value and positive business impact our analytic solutions continue to deliver. These types of technology evaluations are really useful for organizations needing guidance as they enter into new strategic ventures. With plenty of attention on the promise of advanced analytics and machine learning, this report from Forrester is very timely. The report highlights: The Predictive Analytics and Machine Learning (PAML) Solutions market is “hot,” with Forrester forecasting “a 15% compound annual growth rate (CAGR) for the PAML market through 2021.” The true essence and core value of predictive analytics, stating “enterprises that can make probabilistic predictions about customers, business processes, and operations will have an edge over enterprises that can’t.” Machine learning is fundamental to artificial... [Read More]

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Analytics & Optimization Defining Your Decisions Is Easy – and Free

Decision diagram for Should I Stay or Should I Go
Mar222017

“Should I stay or should I go now? Should I stay or should I go now? If I go there will be trouble An’ if I stay it will be double So come on and let me know Should I stay or should I go?” – The Clash The lyrics to the 1981 song “Should I Stay or Should I Go” by The Clash express the struggle in making what seems like a simple decision. The complexity increases when decisions are being made in organizations, because of the constraints, logic and significant impact they have on time and resources. To add to the challenges, other people in your organization may want to understand how you arrived at a decision, modify the logic that was used for the same application, or even make decisions in other scenarios with similar logic. Following someone else’s decision logic and maintaining consistency can be very... [Read More]

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Analytics & Optimization Rise of the (IoT) Machines: When Do We Say “Enough”?

Image from Terminator: Rise of the Machines
Mar012017

Make no mistake about it, I am a technology-loving kind of guy. My job is all about helping people to make better business decisions using analytics technology, and I have boundless enthusiasm for speaking with FICO customers, data scientists and students about the power of behavioral analytics, artificial intelligence and machine learning. But when it comes to my personal life, I’m a bit of a contrarian. There’s been a lot of news about studies showing how too much smartphone use, or too much time on social media, can have a stressing, depressing effect. So I purposefully limit my phone use and I’m not even on Facebook, Instagram, Snapchat, et al. (Although I do love using Twitter as part of my work, to connect with followers all over the world!) How technology can rob joy As the Internet of Things (IoT) matures, I feel like a similar trajectory is starting to... [Read More]

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Analytics & Optimization Is Your Analytics Supply Chain Broken?

Simplified view of an analytics supply chain
Feb202017

This is a guest post from Thomas H. Davenport and FICO’s Zahir Balaporia. A version of this post was also published on Data Informed. Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Businesses look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost, and other related objectives. But the results can be less than satisfactory. It often takes too long to source the data, build the models and deliver the analytics based solutions to the multitude of decision makers in an organization. Sometimes key steps in the process are omitted completely. In other words, the solution for improving the supply chain –  advanced analytics – suffers from the same problems that it aims to solve. Therefore, reducing inefficiencies in the analytics supply chain should be a critical component of any analytics initiative... [Read More]

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