Search IIA
-
Two Sides to Consider in Scaling the Impact of Analytics
When it comes to scaling analytics at a large organization, a lot of focus has been placed historically on successfully creating clean, consistent data that feeds well-defined, consistent analytical processes. This focus was necessary and valuable. However, as data governance continues to mature and data literacy comes evermore to the
-
Episode 30: Inderpal Bhandari (IBM) + Key Takeaways
In the 30th episode of IIA’s Leading Analytics podcast, IIA CEO Jack Phillips chats with Inderpal Bhandari, Global Chief Data Officer for IBM, a company deeply rooted in the data, analytics, and technology world. When Bhandari started at IBM six years ago, the role of AI from an enterprise standpoint
-
Developing a Product Orientation for Analytics and AI: Assumptions and Capabilities
For organizations wishing to move toward a product orientation for analytics and AI offerings, they should check that several key assumptions and prerequisites are in place and confirm that a number of capabilities are present within the organization. If they are not, the company will probably want to address the
-
Episode 31: Drew Smith (Ilitch Holdings) + Key Takeaways
This week’s episode of IIA’s Leading Analytics podcast comes full circle as IIA CEO Jack Phillips chats with long-time colleague Drew Smith, who was not only the first guest on the podcast when he ran data analytics for IKEA, but also led IIA’s Analytics Leadership Consortium (ALC) before recently joining
-
How to Deal with Frustrating Stakeholder Situations as a Data Scientist (And Turn Them Into Opportunities)
If you are familiar with my articles, you know I’m a big advocate for stakeholder management skills. I’m a true believer that a good data scientist should not only be an effective implementer of stakeholders’ data vision, but also a thought partner that helps stakeholders find analytics solutions for their
-
Analytics Leadership Consortium Brochure
-
May: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles about how to frame data science problems, how to create a digitally literate company from the ground up, and how to have a
-
The Most Revealing Success Metrics for High-Performing Data and Analytics Leaders
What is your definition of success? Sometimes the question feels like a trap. Sometimes it’s an opening, a cathartic release. Sometimes it signals maturity (or immaturity) or vision or lack thereof. Sometimes it clarifies. Sometimes it obscures. If we were to pose this question in a freshman composition class, we’d
-
Upskilling Your Organization
Bolstering the data and analytics skills of employees is critical for enterprises as they progress in their digital transformation efforts. But data literacy is not a one-size-fits-all affair. Successful organizational upskilling for data, analytics, and AI requires a holistic strategy and tailored approach. Not everyone needs (or should be) a
-
Teaching the Ethics of Analytics
I’ve written about and given much thought to ethics and its relationship to analytics and data science. I even worked with O’Reilly Media to compile a book on the topic in 2020. However, ethics remains a concern today; one reason is that people in our community are not being trained