Research

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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2017 Analytics Symposium - Chicago Summary and Recordings

By Jack Phillips, Oct 31, 2017

Available to Research & Advisory Network Clients Only

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

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It’s Not About the Algorithm

Oct 31, 2017

Available to Research & Advisory Network Clients and Professional Members

2017 Analytics Symposium - Chicago Session Recording

Morgan Stanley’s Jeff McMillan discusses the opportunities and challenges that businesses face in trying to leverage data, analytics and the emerging capabilities of artificial intelligence to achieve real and sustainable business transformation. He shares his experiences on where and how companies need to think and act differently and where traditional approaches to business management still matter (a lot). And most importantly, he talks of the practical realties of building smarter organizations that combine the best of analytical practices with the deep knowledge and experience of each individual to promote an environment in which the best decisions are made each day.

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How Analytics is Transforming Financial Services

By David Alles, Oct 25, 2017

Available to Research & Advisory Network Clients Only

IIA asked survey respondents in four segments (wealth management, US banks, Canadian banks, and credit unions) questions about their use of analytics in six customer engagement areas (customer experience, customer facing employees, web, mobile, social, and ROI). Results highlight why traditional financial services are vulnerable to disruption. Digital native companies universally excel at using analytics in these areas. However, even across leading financial services companies we see lagging adoption – especially in web, mobile, and social analytics. This is indicative of the analytics maturity gap between digital native companies and traditional companies and illustrates why traditional financial services companies have to accelerate analytics maturity to be more competitive. Based on the study findings, IIA’s faculty of top analytics practitioners and analysts then isolated key takeaways and developed recommendations for traditional companies in the financial industry to mature their analytics in effective, sustainable, and measurable ways

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Analytics Maturity Powers Company Performance

By David Alles, Sep 21, 2017

Available to Research & Advisory Network Clients Only

Does the development of enterprise analytics capability really drive superior company performance? IIA’s previous research briefs demonstrate that analytics maturity varies significantly between industries and across the top-performing companies in each industry. This follow on research brief uses IIA’s proprietary analytics maturity data – from leading companies like Amazon, Apple, Netflix and Google – and publically available financial and company data, to illustrate the positive association between analytics maturity and superior company performance.

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