Information dashboards are an essential modern method for delivering information and intelligence. Learn the principles and practices of dashboard design from expert practitioner Richard Hines, including measurement concepts, data visualization principles, user interface design, and much more.
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Conference Replay | Digital Course Book Included
Information dashboards are an essential modern method for delivering information and intelligence. Dashboards range from local and individual dashboards developed using self-service BI tools to enterprise dashboards engineered, implemented, and supported by BI and IT organizations. Whether you are developing dashboards for local use or for enterprise performance management, careful dashboard design is critical for delivering valuable insight and preventing damaging misinformation. Dashboard developers need to understand measurement concepts, data visualization principles, user interface design, and much more.
You Will Learn
- How to identify, define, and select measures, metrics, and performance indicators for business impact
- Frameworks for dashboard development
- The processes, deliverables, and techniques of dashboard engineering
- The processes, deliverables, and techniques of self-service dashboard development
- How to combine dashboards and scorecards for performance management
- How Balanced Scorecard and strategy mapping techniques are used to identify and define business-aligned KPIs
Geared To
- Enterprise dashboard developers
- Self-service dashboard developers
- Dashboard and scorecard designers and developers
- BI architects and program/project managers
Continuing Professional Education Credits: 4
Apply these credits toward your CBIP recertification. Not certified? Learn more about CBIP and how to get certified here.
Instructor
Richard Hines
Richard Hines is an accomplished data and AI leader with 20+ years of global experience across a number of industries. He specializes in working with teams to establish or re-energize analytics programs and has held senior leadership roles within industry and consulting organizations. Richard is also active in the academic community where he has held data and AI advisory board roles with MIT and McGill University, and has led curriculum development and lectured across Europe, North America, Asia, and Africa.