Analytics projects fail for many reasons. Critical reasons include negative user experience, poor adoption, and insufficient stakeholder buy-in. These points of friction manifest at the user interface level, namely the dashboard and the people using it. As the chasm between the personal/consumer user experience and the enterprise user experience grows, so too does the disaffection for business interfaces.
Dashboards are often designed by the dashboard developer, just as the software interfaces of the past were created by the software developers—when good software meant lots of features. Modern UX practices have abstracted complexity from the user interface, and that shift must also happen for analytics and business intelligence.
This course takes a practical approach to addressing these problems, giving participants the knowledge and processes to ensure dashboards bring value to the business and allow actionable insights for the users. The session takes participants through a live process, focusing on their own business challenges, from business objectives right through to the creation of sketched wireframes and the steps required to ensure adoption by the users. By the end of the day participants will walk away with dashboard wireframes specific to their own objectives and a strategy for ensuring the adoption of their dashboard.
You Will Learn
- Reasons affecting poor dashboard design and adoption
- The elements of good dashboard design
- What an actionable dashboard looks like
- Real world applications and examples
- A successful approach for increasing stakeholder buy-in
- A process for taking high-level business objectives and marrying those to available data
- Approaches for becoming the “visualization person” in your organization
- How to apply the design process with hands-on activities culminating in the creation of wireframes
- Steps required to make a dashboard a living document that impacts the business
- Data scientists
- Business analysts
- IT professionals
- BI and analytics developers
- Managers with a need to use data for decision making
- Anyone who wants to move the needle on the business using data