Research & Insights

Inquiry Response: Measuring Employee Experience

Jan 24, 2022

Available to Research & Advisory Network Clients Only

Inquiry:

We’re interested in beginning to measure employee experience. We have off-the-charts engagement as it’s traditionally measured, but we’d like to be able to separate experience from engagement.

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When it comes to assessing what makes large companies successful at analytics, the International Institute for Analytics (IIA) has a unique vantage point because the insights from our three service lines complement and amplify our characterization of a successful data analytics model. From hundreds of enterprise assessments, we have quantitative studies of what makes analytics market leaders tick, as well as in-depth scoring and benchmarking of hundreds of companies, in dozens of industry sectors, across thousands of data points. Our Research and Advisory Network engages hundreds of experts and thought leaders who daily advise analytics practitioners who are working to…

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Segmenting Your Analytics Demand

By Doug Mirsky, Jan 04, 2022

Available to Research & Advisory Network Clients Only

In transitioning to a demand orientation, analytics leaders will quickly become aware that the demand side is multifaceted and that no two demand constituent groups are the same, creating complexity when trying to develop demand-based analytics strategies. They will find that demand segments need different things, have different abilities to articulate those needs, require different kinds of attention from the core analytics team and have different kinds of advocacy to bring to the table.

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Inquiry Response: Coordination Between Data Scientists And Product Teams

Jan 03, 2022

Available to Research & Advisory Network Clients Only

Inquiry:

We’re transitioning to a centralized, product-led model for analytics using Jira for task and project management. How do we implement this to work for data scientists and product teams?

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Inquiry Response: Challenges With IoT Really A BI Problem

By Michael Ali, Dec 20, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re increasing use of IoT our manufacturing and we want to initiate an enterprise top-down vision to standardize on one process between the plants. We’re stuck and can’t seem to progress.

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2022 Analytics Predictions and Priorities

By Bill Franks, Drew Smith, Thomas H. Davenport, Dec 15, 2021

Available to Research & Advisory Network Clients Only

IIA’s Predictions and Priorities for 2022 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. As we head into 2022, we are ending a 2021 that was again a very unusual year. However, IIA observed a lot of analytics activities taking place during this past year, even with the uncertainty surrounding COVID-19. So much so, in fact, that for the first time we decided to put forth seven predictions and priorities! This year’s predictions are again based upon our day-to-day work supporting and…

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Inquiry Response: Using The OKR Framework In Data Science

By Jeff Feng, Dec 13, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We recently adopted objectives and key results (OKR) as an organization. I’m trying to understand how my data science team fits in with that framework.

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Inquiry Response: Adding Offshore Talent To The Data Science Team

Dec 06, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

My data science organization experienced over 30¬% attrition last year, and we’re down to six people. We can’t compete with salaries offered by many companies. Is it feasible and recommend to use offshore personnel to provide a run-and-maintain backbone to the organization?

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Inquiry Response: Three Year Strategy For New Analytics Team

Nov 22, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re starting from scratch and need processes in place for tracking projects. I’m new to the organization and have been tasked with building up a data and analytics research team. Any advice?

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Inquiry Response: Steps Towards a Universal Semantic Layer

By Eddie Satterly, Nov 15, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’d like to enable a universal semantic layer for self-service. We’re looking at the steps required for success, and we’re evaluating the build-versus-buy question. How have others approached these decisions?

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