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

Event Details

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

Time: May 23, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2pFoGQS
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: May 4

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Event Description

Space is limited.

Reserve your Webinar seat now

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:

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

   

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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