Research

Operationalizing Customer Analytics in Financial Services

By Robert Morison, Apr 04, 2019

Available to Research & Advisory Network Clients Only

This paper explores the processes and success factors for operationalizing customer analytics by drawing on the experiences of four varied financial services institutions: a large credit union, a full-service bank with a strong focus on retail customers, and two firms focused on small and growing business customers. We’ll profile each and then look across them for commonalities and lessons learned.

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Leveraging Analytics to Combat Digital Fraud in Financial Organizations

By Robert Morison, Ian Holmes, Apr 02, 2019

Available to Research & Advisory Network Clients and Professional Members

Digitization creates major opportunities for financial services – automating operations, expanding channels, delivering engaging customer experiences. There are corresponding challenges – unprecedented data sources and transaction volumes, channel control in electronic commerce, and preventing fraud when the fraudsters are technologically adept. To discuss the opportunities, challenges, and solutions around financial fraud in the digital age, IIA spoke with Ian Holmes, Senior Manager, Security Intelligence Practice at SAS Institute Inc.

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This article describes the potential for AI to augment risk estimation for both individual investors and financial market assets. AI processes vast amounts of a variety of data to identify patterns underpinning processes and metrics. Evolving data resources including digital touch points provide AI with attributes that can enhance risk estimation to ultimately augment elements of modern portfolio theory.

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Everyone seems to agree that analytics, AI and Big Data are changing the world and that cloud computing is accelerating the adoption of these technologies. Combined, they are disrupting traditional business models and creating new market opportunities. If you are an analytics leader, data scientist, ML engineer, software engineer or other related role you see first-hand the power of analytics to unlocked hidden value in existing businesses or to enable completely new businesses. Are you using your first-hand knowledge of analytics to shape your investment strategy?

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Morgan Stanley Delivering High-Quality Customized Advice at Scale

By Jeff McMillan, Aug 01, 2018

Available to Research & Advisory Network Clients Only

Driving growth at Morgan Stanley is about equipping its 16,000 financial advisors to efficiently deliver personal, customized advice to clients in dynamic markets. Morgan Stanley is making tremendous investments in creating real-time decision engines. This Leading Practice Brief is about how Morgan Stanley uses analytics and algorithms in support of a clear business strategy and empowers the entire organization to use analytics to make better business decisions.

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Three More Reasons to Embrace Automated Machine Learning

By Thomas H. Davenport, Jul 19, 2018

Automated machine learning is good for your company’s analytics function. AutoML has the potential to transform not only machine learning, but the practice of analytics in general. This blog discusses the benefits of AutoML in three different categories.

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Don’t Be Hit by the Analytics Backlash

By Thomas H. Davenport, Jun 19, 2018

Analytics leaders and practitioners need to be prepared both to defend analytics and AI where appropriate, ensure that you’re not contributing to issues like how to prevent algorithmic bias, what industries would be least likely to do harm with analytics, and how to reduce the societal damage from AI.

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Deploying AI in Mobile-First Consumer-Facing Financial Products – A Tale of Two Cycles

By Jike Chong, May 08, 2018

Available to Research & Advisory Network Clients Only

2018 Analytics Symposium – Santa Clara Session Recording

What opportunities does anytime, anywhere access of financial services on mobile devices enable? How can we use AI to capture these opportunities to create better financial services for everyone? Jike dove into AI in the context of two fundamental business cycles in financial services: the intelligent acquisition of customers, and the intelligent sustaining of customer relationships. These two business cycles can be broadly applied to a variety of traditionally off-line service industries. Six areas of opportunities were highlighted where AI technologies are being readily deployed today.

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Increasing the market value and operating performance of your company in the new digital world requires that you harness data analytics as a major contributor to your competitive success.

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Why Blockchain And Analytics Don’t Mix Well

By Bill Franks, Nov 09, 2017

The concept of a blockchain is quite a phenomenon in recent times. It has quickly risen from a relatively obscure idea known mostly within some small circles to one that is being discussed as having potential to literally change some of the fundamentals of the world’s economic systems.

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