Research

Cutting Through the Hype of Artificial Intelligence, Part 2

By Bill Franks, Sep 19, 2018

Available to Research & Advisory Network Clients Only

Artificial Intelligence (AI) is one of the hottest topics in the analytics space today. Within a two- to three-year span, AI went from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell artificial intelligence a few years ago are now charging full steam ahead in pursuit of AI initiatives. In many ways, this is a good thing. After all, AI is quite powerful and has the ability to drive tremendous value if applied appropriately. However, this attention also has some negative consequences. Most notably, the topic of AI is so full of hype today that many organizations are struggling to separate what is real and achievable from what is pure hype and wishful thinking.

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Data and Analytics Trends Impacting Marketing - PART 1:  Channels and Personalization

By Michael Koved, Aug 30, 2018

Available to Research & Advisory Network Clients Only

Analytics advances are accelerating at an unprecedented pace, and perhaps nowhere more quickly than in marketing. Advances in computing hardware, software applications and delivery channels enable marketers to deliver timely and relevant messages to customers in ways that were unimaginable five or 10 years ago. New data sources are becoming available, and innovative ways to use data to shape the customer experience continue to push the envelope of possibilities. However, keeping track of the advances and being able to decipher which are relevant to your reality has a direct inverse relationship to the rate of change.

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Bumps and Triumphs on the Road to Optimization at UPS

By Jack Levis, Aug 21, 2018

Available to Research & Advisory Network Clients Only

United Parcel Service (UPS) is now well known for instituting ORION, an optimized routing system for UPS drivers that has been called the world’s largest operations research project. ORION determines the most efficient delivery route for every driver, every day, resulting in savings of more than 100 million driving miles. The project serves as an excellent case study on how embedding analytics and models within the day-to-day operations of the business—in this case, package delivery—can reap huge cost savings benefits.

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How Advanced Analytics Can Prevent Medicaid Fraud

By Ellen Joyner-Roberson, Victor Sterling, Robert Morison, Aug 15, 2018

Available to Research & Advisory Network Clients Only

Medicaid fraud is prevalent, costly, and difficult to prevent. With a combination of more integrated data and advanced analytics, state agencies have the opportunity to turn the tables on fraudsters. They can accelerate the transition from detection to prevention, as new forms of fraud are recognized faster and fewer improper payments go out the door. To explore the challenges and opportunities, IIA spoke with SAS Institute’s Ellen Joyner-Roberson, CFE Principal Marketing Manager, Fraud and Security Intelligence, and Victor Sterling, Principal Solutions Architect.

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Inquiry Response: Identifying Enterprise Opportunities for RPA

By IIA Expert, May 28, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re exploring robotic process automation (RPA) for the enterprise. Where does RPA stand in the market and how can we get started?

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Scaling Analytics at Instacart

By Che Horder, May 08, 2018

Available to Research & Advisory Network Clients Only

2018 Analytics Symposium – Santa Clara Session Recording

The Data & Analytics team at Instacart is responsible for delivering meaningful analyses that impact the decisions we make as a company. The team is at the center of an extremely data-driven company culture and there is nothing more important to the team than helping the company learn and make great data-driven decisions. The team found that over time, they accumulated chronic issues or obstacles in the environment that were hampering their ability to scale and deliver on our mission. These obstacles were monopolizing their time and reducing capacity to focus and be productive on Instacart’s core mission. Che discussed 1) what his team’s obstacles were, 2) why it is was critical to address them, and 3) how they have removed them.

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The “Last Mile”:  Keys to Successfully Embedding Analytics in Core Organizational Processes

By Blake Johnson, May 08, 2018

Available to Research & Advisory Network Clients Only

2018 Analytics Symposium – Santa Clara Session Recording

The critical capability for analytics organizations today is the ability to seamlessly integrate analytics into high-value, large-scale organizational processes. This “last mile” to major business impact depends on two cross-functional “bridging” capabilities: 1) establishing leadership by senior business executives, who are the only people capable of driving change in core organizational processes, and 2) carefully designing analytics so that they can be “embedded” into current organizational processes and IT systems, which is required for them to be executable at scale. Blake described best practices for establishing these capabilities identified in a recently completed two-year study, and the rapid scaling of analytics business impact they make possible.

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Who thought Domino’s Could be a Disruptor?

By Julia Oswald, May 08, 2018

Available to Research & Advisory Network Clients Only

2018 Analytics Symposium – Santa Clara Session Recording

How has Domino’s become such a dominating force in the Quick Serve Industry? Julia Oswald’s presentation shared the key drivers of this success. Domino’s broad strategy is to be a part of the disruption. The company has three key tenants to achieve this strategy:

1) Craft food that they are proud of, 2) Drive growth in the carryout business and 3) Aggressively innovate and invest in digital and in-house analytics. The progression of the Strategy and Insights department has been a crucial element across all three tenants of Domino’s strategy. Julia shared philosophies and some of the details about how the company has and plans to continue to be a disruptor in the category.

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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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84.51° Builds a Machine Learning Machine for Kroger

By Thomas H. Davenport, Apr 24, 2018

Machine learning is a great way to extract maximum predictive or categorization value from a large volume of structured data. The idea is to train a model on a one set of labeled data and then use the resulting models to make predictions or classifications on data where we don’t know the outcome. The approach works well in concept, but it can be labor-intensive to develop and deploy the models. One company, however, is rapidly developing a “machine learning machine” that can build and deploy very large numbers of models with relatively little human intervention.

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