International Institute for Analytics

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.

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…

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.

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?

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.

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…

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.

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?

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?

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?