International Institute for Analytics

Inquiry:

We have our data lake in order so that we can perform more forward-looking analytics to drive business value. Now we’re struggling with how to start and what to prioritize first—any ideas?

Inquiry:

We’re working on our career development and career paths for our data science and analytics team. We have forty people, and we’re growing. Our concerns include low attrition and the fact that not everyone wants to be a manager.

Inquiry:

We’re implementing a data governance program to support our larger analytics capabilities. What are some of the first steps to start building a data governance strategy? What “gotchas” should we keep an eye out for along the way?

Inquiry:

We are working on a platform to empower data scientists across the enterprise to build and manage their own machine-learning (ML) models. Do you have any ideas for how to approach this project?

Inquiry:

As part of our governance efforts, one of our charters is to look at the risk around data and establish a risk appetite scorecard. We have developed a basic metrics-type scorecard around the traditional areas such as data cleanliness, data accuracy, and integration. What else should we be thinking about?

Inquiry:

We have a robust testing program for our website experience where we test various permutations in two-week sprints, each measured in isolation. We’d like to start analyzing how our predictions based on the results of these tests perform against reality. Any thoughts?

Inquiry:

We want to develop a training program for our data scientists. Do you have any advice?

Inquiry:

We’re keen to understand the needs and attitudes of our clients so we can better tailor our communications and suggest additional services. How have others used third-party data to better understand their customers?

Inquiry:

My team is tasked with guiding data cleanup as part of our data governance efforts. Is there an efficient way to discover where the problem areas are in the enterprise data sources? What should we consider as we think about solutions?

Inquiry:

We have a mature analytics organization with over a thousand models in production. At this point we know we need a more rigorous governance model than we currently have. Can we speak with someone who can help us think this through?