Search IIA
-
An Often-Neglected Data Science Budget Item
It is natural to get excited about the prospect of building and deploying an interesting and high impact new data science process. Unfortunately, you have to also put effort into some less exciting aspects of such an endeavor. One item that is often underestimated and neglected, if not omitted, is
-
Heads Vs Hands
If you’re struggling to solve human problems with data, the mindset of your analytics org may be the problem. If your team is highly technical, "soft skill" stuff probably feels like BS. Users are mostly in the way of getting the data to provide its inherent value. If your team
-
April: Best Of The Web
Here is a roundup of interesting sites, resources and articles from around the web, curated by IIA. April’s edition features excellent articles on data quality, data infrastructure, data literacy, legal questions for data scientists and on how to apply product thinking to a range of analytics and data projects. There
-
Charts And Graphs Are Like Jokes
Everyone is familiar with the age-old adage that if you must explain a joke after you tell it, then the joke will be a flop. The same principle is true when you put data in front of a live audience, whether with a table, a graph, or a chart. This
-
2021 Virtual Spring Analytics Symposium Wrap Up
On April 21st, 2021, IIA held its third completely virtual Analytics Symposium, which was a celebration of diversity of opinion and perspective in the analytics industry. The day began and ended on opposite ends of the spectrum, with a panel of C-Suite analytics leaders kicking off the event with a
-
Modernizing The Roles In Your Analytics And Data Science Organization
A recurring theme among analytics and data science leaders is the concern of not being able to keep up with all of the rapid change taking place – both individually and as a team. In years past, it was possible to stand up an organization largely made up of analytics
-
Disciplined Self Serve BI Enables Advanced Analytics
“Self-service is best characterized as a broader business effort to continue the maturation of your enterprise analytics. Core to that maturation is a focus on identifying more and better business challenges against which to apply predictive and prescriptive (advanced) analytics techniques, by reducing the resource expenditure on supporting your organization’s
-
Data Culture & Data Literacy - Transformative Concepts or False Hope?
It seems every company is pursuing Data Culture and Data Literacy programs, but what exactly are they hoping to achieve? These topics get a lot of press, sound very inspirational, and a lot of really smart folks are working on them. With all the other priorities that data professionals are
-
Architecting a Modern Analytics Tech Stack
Buy or build? Cloud or on-prem? Packaged analytics software of custom Python? These are false choices. No business can afford to think of these choices in a binary way. The challenges in terms of business opportunities, talent constraints, compute trade-offs and data availability are highly situational, and each company needs
-
Closing the Analytical Talent Gap: An Executive's Guide to Working with Universities
After spending several years answering almost daily emails and telephone calls from business managers asking for staffing help and aiding fellow academics with their analytics teaching needs, Dr. Jennifer Priestley of Kennesaw State University and Dr. Robert McGrath of the University of New Hampshire have captured those learnings in a