Research

Inquiry Response: Feedback on Data Platform Architecture

By IIA Expert, Jun 22, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re working on a new centralized data platform so that we can perform effective analytics with a quicker turnaround. We’d like to verify some aspects of a new architecture that we’re considering. Can you provide feedback?

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Inquiry Response: Improving Fairness and Explainability in Risk Modeling

By IIA Expert, May 18, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re concerned about potential bias in the data our risk models use for lending decisions because our data is primarily made up of white males. We’re already working on accuracy with respect to different sub-populations. What are we missing?

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Inquiry Response: Notes on Assessing Decision-Making Models for Bias

By IIA Expert, May 11, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We build models in-house to determine lending for people who buy our products. We rely on these algorithms for auto-approvals, and we’re concerned about model bias. How can we address this issue?

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Inquiry Response: Starting an Analytics Resource Center

By IIA Expert, Chris Hutchins, May 04, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

I’m charged with driving analytic strategy, starting with formalizing an enterprise analytics function. We have scattered pockets of analytic capability. How do I ease these teams into the new paradigm?

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Inquiry Response: Thoughts on Improving Customer Lifetime Value and Churn

By IIA Expert, Ahmer Inam, Apr 20, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We have a customer loyalty program, and we want to improve our customer lifetime value (CLV) and retention, and also move more customers toward using loyalty cards. What are some interesting techniques and frameworks that could aid our efforts?

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Inquiry Response: Managing an R&D Analytics Team

By IIA Expert, Jack Levis, Apr 13, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

I’m new to the analytics R&D space, and I’m not sure how to manage my new team and the work to ensure that the leadership sees us as valuable. Do you have any suggestions?

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Inquiry:

We want to improve our operational analytics efforts starting with high-level skills, pipelining, and structure. We have a hub-and-spoke model and analytics teams in place. What is missing from our internal conversations?

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Inquiry Response: An Enterprise-Wide Agile Transformation

By IIA Expert, Mar 23, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

With our Agile transformation, there’s friction between IT and Analytics regarding project management responsibilities, and with the data scientists who don’t like Agile. How can we implement our Agile transformation to limit friction?

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Inquiry Response: Reconciling Headcount to Build HR Analytics

By IIA Expert, Mar 16, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

Headcount is currently calculated in a number of different ways, and before we can move on to more interesting HR analytics we need to reconcile the headcount numbers across the enterprise. What’s the best way to work through this initial hurdle?

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Inquiry Response: Growing Our Analytics Team

By IIA Expert, Gary Cao, Mar 09, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re growing our analytics team from 10 to 25 people in the next year. In addition, we’re transitioning to an Agile approach and aiming toward operationalizing RPA. The current team consists of two data engineers, one project manager, one designer, three BI/visualization analysts, one QA specialist, and two product owners. Do you have any advice that will help ensure the team’s success?

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