Making Sense of the Noise: How to Provide Meaningful Business Intelligence

Presented by

Ken Elliot, VP Enterprise Analytics and Data Management at Waste Management. Marius Moscovici, CEO of Metric Insights.

About this talk

Join Waste Management and Metric insights as they discuss how to provide meaningful BI to your enterprise. Synopsis: Many organizations have hundreds or even thousands of reports and dashboards, in multiple BI tools, each overflowing with useful insights, yet only a handful are actively being consumed by their end business users. Even though they have answers readily available to them, BI teams still have a line out the door of people asking questions of their data. But why is this happening? Challenges being faced by business users: • Information overload – the sheer volume of reports available are completely overwhelming. • Disparate sources – content exists in multiple tools and users don’t know where to look or what content even exists. • Time - Business users think about data for a couple of minutes each day, so there is a need to have answers quickly to inform decision making, navigating so many different dashboards elongates this process. • Generic approach – Seldom are these dashboards personalized and customized making it a challenge to navigate. In today’s talk, we will be walking through some key use-cases of how we have been dealing with the challenges of cleaning up their BI mess and making sense of the noise of data dashboards & reports allowing everyone to have the ability to access the information they need right at their fingertips in a user-friendly way. Key Learnings: • Learn how you can clean up your BI mess. • Understand how your complex information can be woven together in a simple way. • Learn how to adapt your processes from information overload to personalized & insight-driven. • Have greater clarity on where you sit within your journey of making sense of the noise.
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Metric Insights is the leading Business Intelligence Portal solution. Connect to all your BI tools, databases, and operational systems to give users a single point of access to their BI. Automated anomaly detection and enterprise distribution ensure users know about the right data at the right time and never miss critical events again.