Research

Inquiry Response: Graph Databases for Customer Data Complexity

By IIA Expert, Feb 08, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re developing a customer data platform and are challenged by the wide variety of ways our customers interact with us. How are other organizations trying to solve this problem?

Response:

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Inquiry Response: Analytics for B2B2C E-Commerce

By IIA Expert, Jan 25, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We are relying more and more on digital B2B2C to reach our consumers. As we ramp up e-commerce, how can we apply analytics and what kind of investment should we make? What did you do in your company?

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Inquiry Response: Foundations For A Digital Customer Experience

By IIA Expert, Jan 18, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re developing an advanced digital customer experience strategy that needs to be able to support B2B, B2C, and B2B2C. What should we look out for as we prepare our organization and our data for this evolution?

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Value and Opportunity: An Executive Guide to Procurement Integrity

By JEN DUNHAM, Laurent Colombant, Robert Morison, Jan 13, 2021

Procurement Integrity (PI) represents a broader problem and bigger opportunity than most businesses recognize. Comprehensive PI programs continuously validate purchasing transactions, using data and analytics to trace patterns, spot anomalies, and reduce fraud, waste, and abuse. The problems uncovered range from occasional opportunistic fraud to ongoing organized fraud, from duplicate invoices and other improper payments to regular kickbacks, from conflicts of interest to ongoing collusion with suppliers. Continuous monitoring of anomalies in procurement and supplier due diligence processes reveal potential problems, including data issues and process breaches, and help focus the efforts of audit and other investigative staff.

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Inquiry Response: Measuring Promotion Success

By IIA Expert, Ashutosh Sanzgiri, Dec 07, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

How can we measure the lift from coupons used and what’s the best way to deploy the models to do it? We know we have lift coming in from various combinations of promotions, but we need a more granular view. Unfortunately, we don’t have access to web data, although we can track the coupons used in our brick-and-mortar stores. What do you think?

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Inquiry Response: A/B Testing For Mobile Applications

By IIA Expert, Casey Rosenthal, Oct 12, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

How do other companies perform A/B testing at scale for their mobile apps? We’d like to work on optimizing user experience performance.

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Inquiry Response: Maturing Beyond Outlier-Based Fraud Detection

By IIA Expert, Oct 12, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re exploring ways to mature our fraud detection models. At the moment we rely on outlier-based detection, but we don’t have a ton of label data. How can we advance our outlier testing until we generate enough labels to build ML models? What else might you suggest?

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Inquiry Response: Paid Promotion Optimization with Low Price Elasticity

By IIA Expert, Mike Gamage, Aug 10, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re concerned about paid promotion optimization for a brand of products with low price elasticity. Currently we put them on discount when our competitors do. Now we’re wondering if this is the best strategy. How can we improve our data to make better decisions?

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2020 ANALYTICS PREDICTIONS AND PRIORITIES

By Thomas H. Davenport, Bill Franks, Drew Smith, Robert Morison, Dec 19, 2019

Each year, the International Institute for Analytics ends the year with a look at the latest analytics trends and the most pressing analytics challenges currently facing organizations. Our predictions are based upon our day-to-day work supporting and advising analytics leaders and organizations. We take advantage of the breadth of expertise and cross-industry perspectives we encounter every day from our clients, partners, and members of the IIA expert network. This is our 10th annual look toward the upcoming year, and our annual Predictions and Priority research brief and the associated webinar have become among IIA’s most popular content of the year. This year, we’ve stuck with our approach of augmenting each of our predictions with a specific priority for leaders to focus on as they attempt to address that prediction. As a result, each priority provides specific guidance as to how to best prepare for, and adapt to, its corresponding prediction.

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The Fuzzy Line Between Good and Evil Data Science

By Bill Franks, Sep 12, 2019

Available to Research & Advisory Network Clients Only

The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention. The problem is typically that proper focus and governance is not in place to keep analytics and data science processes on the side of good. On top of that, what is good and what is evil isn’t nearly as clear cut as we’d wish it to be.

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