Search IIA
-
The Inequality in the Data Science Industry
The Inequality in the Data Science Industry Data science as a discipline has received an increasing amount of attention in the public consciousness over the past decade from many, including undergraduate students considering lucrative career paths and leaders of companies and organizations looking for efficient tools to inform or automate
-
2023 Analytics Symposium
After surveying hundreds of clients on what's top of mind this year, we are happy to announce our 2023 Spring Symposium themes and agenda. As a reminder, IIA clients have an all-access pass to this year's Symposium in Chicago. You can register via the buttons above! We can't wait to
-
Getting Started with Data Literacy Efforts
-
When to Talk Salary in a Data Science Interview Process
You’re interviewing for a job in data science: maybe it’s your first job or maybe it’s a Chief Analytics Officer role. One struggle people have is when to talk salary with the employer. Certainly, this issue isn’t unique to data science roles, but I do think that there are some
-
Are You Treating Your Analysts Like Task Rabbits?
Throughout my career, I’ve seen a number of different analytics teams; as you might expect, there are a handful of similarities and a handful of differences in how each team operates. But one thing that has consistently stuck out is how analysts are frequently hired, viewed, and utilized within an
-
Mindful AI: A Human-Centered Framework for MLOps
The benefits of AI for enterprise optimization and innovation are widely accepted and yet a paradox exists between AI’s potential and adoption: Survey data shows that up to 90% of AI/ML initiatives fail adoption; 70% of AI/ML models don’t evolve; and 50% of CDOs fail within the first year. These
-
Translating Analytics Talent Capabilities into a Strategic Workforce Plan
How many analytics organizations can quickly identify the top five capabilities they are actively building to prepare for their business needs 3-5 years from now? Perhaps not many. Many leaders are able to identify what analytics capabilities they are building right now, just trying to survive the current demands. But
-
August: 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 navigate having your analysis questioned, an inside look at Intuit’s AI and Data operations, and how to implement a new
-
Recruiting with a Mission-Driven Focus
With the difficulty in recruiting today, especially within the analytics and data science space, you need every advantage that you can get. As a result, focusing candidates on a mission-driven opportunity rather than on a task-focused job is an effective recruiting strategy. I’ll explain here what a mission-driven focus
-
A Values-Led Approach to AI Ethics in a Global Business
With the rapid advancement of digital technologies, it is impossible to design perfect rules, systems, or processes to manage AI ethics. They would be outdated the moment they were deployed. Instead, data and analytics leaders would be wise to use company values as the enabler to make AI ethics actionable.