Research

Inquiry Response: Feedback On A Job Description For A Data Engineer

By Eddie Satterly, Jul 05, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

I’ve put together a list of responsibilities for the data engineer we’d like to find and hire, and I’d appreciate your advice. I lead analytics for enterprise operations—procurement, manufacturing, engineering—and we plan to migrate data and analytics to Azure.

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Inquiry Response: Scoping Analytics Roles For A New Talent Management System

Apr 05, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We recently launched a new talent management system and are working to define job descriptions for data analysts, data scientists, and data engineers. We’re struggling with mapping existing roles to new roles and ensuring we’re on the right track with necessary change management that goes with this. Could you help us think through this?

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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: Tips For Building A People Analytics Capability

By Jon Agnone, Dec 28, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re new to HR analytics. What kind of projects should we look to tackle to show some initial wins?

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Inquiry Response: Promoting Analysts To The Role Of Data Scientist

By Jennifer Prendki, Dec 21, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re building a team to focus on using machine learning to enhance our end user experience. Many of our analysts aspire to be data scientists, and we would like to fill data scientist roles with the talent we have where possible. How should we delineate roles and responsibilities of a data analyst vs. a data scientist?

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Inquiry Response: Two Types Of Analytics Catalysts

Oct 05, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

As a manufacturing company with a new data and analytics operating model. How does the role of analytics catalysts fit into our organization?

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Inquiry Response: Reconciling Headcount to Build HR Analytics

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

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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Inquiry Response: Getting Started With HR Analytics

Feb 10, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re just getting started with HR analytics, and we’re struggling with building a baseline reporting capability. There is an HRIS team; should HRIS own the analytics? Where should we start with our initial HR analytics projects? We use Workday for human capital management; can we use it for analytics too?

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Inquiry Response: Caveats When Deploying An Automated ML Tool

Jan 20, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re planning an enterprise rollout of an automated machine learning (AutoML) tool like DataRobot. What are some of the caveats that we should watch out for?

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