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Self-Service Analytics Case Study: Accelerating Speed-to-Insight

Optum Technology relies on self-service analytics to balance and operationalize the size and skill of their workforce with workload analytics. Reconciling 15,000 employees with 5,000+ IT programs – along with data from various employee tracking systems, spreadsheets, Access databases, SQL, Hadoop, and multiple other sources – can make for long days, errors, and stress, but this isn’t the case at Optum.

In this latest Data Science Central webinar we will discuss how Optum’s Senior Reporting Analyst, Philip Burrow, addresses these analytic challenges head-on to:

Consolidate disparate data into data assets that can be mined for rich analysis
Design repeatable, production-ready analysis with Alteryx and Tableau
Provide ad-hoc analysis for the operations team and executives in hours, not days
You will see firsthand via a live demo how Optum’s analytics architecture has led to time savings, speed-to-insight, and quick onboarding of new analysts.

Speakers:

Philip Burrow, Senior Reporting Analyst -- United Health Group, Optum Technology
Raman Kaler, Alliance Manager -- Alteryx
Melissa Robinson, Solutions Engineer -- Alteryx

Hosted by:
Bill Vorhies, Editorial Director -- Data Science Central

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