Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

The Business Leader’s Guide to Designing Indispensable Analytics Solutions and Data Products

Brian O'Neill (Designing for Analytics)
14:5515:35 Wednesday, 23 May 2018
Secondary topics:  Visualization, Design, and UX

Gartner says 85%+ of big data projects will fail. Your company probably spent millions on a recent analytics/IOT/big data project too. The team wrote a lot of code and deployed software using “Agile,” cloud, and the latest tech stack. Somehow though, your data product, analytics solutions or digital transformation project isn’t really delivering the business value or user experience everyone hoped for. Whether you’re a CDO, CAO, Head of Analytics, or Product Owner, better design can deliver better business outcomes and indispensable user experiences, and you don’t need to be a designer to get started. We’ll discuss 9 specific self-assessment techniques you can use today to get your project or service on the right track–and safely outside of Gartner’s 85% pool!

Photo of Brian O'Neill

Brian O'Neill

Designing for Analytics

Brian O’Neill is the founder and consulting product designer at Designing for Analytics, where he focuses on helping companies design indispensable data products that customers love. Brian’s clients and past employers include Dell EMC, NetApp, TripAdvisor, Fidelity, DataXu, Apptopia, Accenture, MITRE, Kyruus,, JPMorgan Chase, the Future of Music Coalition, and E*TRADE, among others; over his career, he has worked on award-winning storage industry software for Akorri and Infinio. Brian has been designing useful, usable, and beautiful products for the web since 1996. He cofounded the adventure travel company and has invested in several Boston-area startups. If you’re at a conference, say hello. He’ll probably be the only person walking around with an orange leather messenger bag.

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