Amidst the frenzy and pressure to roll out advanced analytics and dashboards—and the corresponding obstacles presented by common data modeling- and data warehouse-driven approaches—most companies don’t have the time or resource bandwidth to consider analytics usability as a key data source. But it should be.
That’s because true competitive differentiation only comes to those who understand which analytics-driven insights are used, how they’re used, the transactional details behind the insights, and if those insights truly help business users do their jobs and do them well. By viewing usability data as an additional data source and linking it with the corresponding transactional data, you analyze your analytics through the eyes of its consumers and continually optimize it for improved insights.
In this session, you’ll learn how to:
- Use A/B testing to ensure you give analytics consumers the appropriate information they need, at the right time to make the right decision.
- Track every user click in order to understand when and why there’s a material impact on your business and how analytics applications are actually used.
- Put data in front of operational transactional teams, so they also can make better decisions.
- Develop analytics specifically designed for fast adoption and ongoing use by Millennials.