International Institute for Analytics

Learn strategies to motivate, coach and train the “demand” side of the analytics partnership to ask better questions, make better decisions, and do their jobs more efficiently using data and advanced analytics.

IIA’s 10th Analytics Symposium was held in Atlanta on October 10, 2018. This Symposium brought together analytics leaders from different industries, functions, and geographies to share insights and best practices. Experienced and innovative analytical leaders from large enterprises (Ford, Honeywell, Optum, GE, and Symantec/ID Analytics) described their organizations’ analytical journeys and key lessons learned—about creating business value, building an analytics team, creating a more analytically savvy company, and dealing with the hype around AI. Also sharing insights and trends were leading academics (IIA co-founder Tom Davenport and Jennifer Priestley) and IIA leaders Bill Franks and Kathy Koontz. Read the event summary for key themes and insights from the conference.

GE’s Path to Emerging Analytics Technologies

Emerging technologies like Artificial Intelligence/Machine Learning, Augmented/Virtual Reality and Blockchain have the potential for making a profound impact on how work gets done within the enterprises and what businesses of tomorrow may look like. Mano explains how GE is preparing to capitalize on this opportunity – where the company is investing to build new capabilities and sprints GE is running in this multi-year journey.

Competing on Analytics is a “Team Sport,” but Which Sport?

Alex Barclay, SVP at Optum (part of United Health Group, a Fortune 10 company), outlines the capabilities required to compete on analytics and describe how the company is boosting these capabilities among executives, managers and analytics professionals.

BI isn’t Analytics: Honeywell Aerospace Analytics Team Takes Flight

Beginning nearly two years ago Honeywell Aerospace had the common misconception that BI equaled the full potential of what analytics can accomplish. In order to find their current success, multiple fronts had to be established: educating the business side, finding executive sponsors, identifying projects worth chasing, and of course successful execution against those projects. In this talk, Dr. Seth reviews the challenges faced as he established an analytics practice and shares some of the specific case studies indicative of this evolution in analytics adoption for various business functions and competing on analytics in the aviation industry through new connected analytics offerings.

GE’s path to emerging analytics technologies

Emerging technologies like Artificial Intelligence/Machine Learning, Augmented/Virtual Reality and Blockchain have the potential for making a profound impact on how work gets done within the enterprises and what businesses of tomorrow may look like. Mano explains how GE is preparing to capitalize on this opportunity – where the company is investing to build new capabilities and sprints GE is running in this multi-year journey.

BI isn’t Analytics: Honeywell Aerospace Analytics Team Takes Flight

Beginning nearly two years ago Honeywell Aerospace had the common misconception that BI equaled the full potential of what analytics can accomplish. In order to find their current success, multiple fronts had to be established: educating the business side, finding executive sponsors, identifying projects worth chasing, and of course successful execution against those projects. In this talk, Dr. Seth reviews the challenges faced as he established an analytics practice and shares some of the specific case studies indicative of this evolution in analytics adoption for various business functions and competing on analytics in aviation industry through new connected analytics offerings.

Competing on Analytics is a “Team Sport,” but Which Sport?

Alex Barclay, SVP at Optum (part of United Health Group, a Fortune 10 company), outlines the capabilities required to compete on analytics and describe how the company is boosting these capabilities among executives, managers and analytics professionals.

Yesterday, almost 200 of IIA’s clients, analytics experts and advisory network members gathered together to discuss the top trends and challenges of the analytics industry. The presentations were insightful, drove conversations and had actionable takeaways. The three themes of transformation, artificial intelligence (AI), and data-driven cultures were threaded in all of the presentations. This blog covers the key highlights of each session.

At the most basic level, improving analytics returns requires discipline – namely a way baseline and measure analytics return. Assuming your process for measuring analytics value is in place, here are five ways an analytics team can improve their analytics returns.