Download pptx - Inspire 2014 – Kaiser Permanente: Optimizing Service Cost and Improving Customer Experience

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Optimizing Service Cost and Improving Customer ExperienceGreg HallDirector, AnalyticsMember Services Contact CentersKaiser Permanente

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Kaiser Permanente A $53B integrated health system focused on prevention


Kaiser Permanente Founded in 1945, now has over 9.3M members in nine states


Kaiser Permanente Comprised of insurance plans, hospitals, and medical centers


Kaiser Permanente Largest integrated store of electronic medical records


Kaiser Permanente Our cause is health

Our passion is serviceWe’re here to make lives better.


Member Service Contact Centers AnalyticsA small team equipped to deliver big results

Equipped with:• An effective rapid analytics process • Tools: Toad, Alteryx, Tableau• Candid and team-first culture

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Analytics SpeedOur customers have new expectations for speed

• Customers do not only compare our companies to our competitors

• Customers benchmark performance by the best in class regardless across industries

• Analytics teams need to match the speed of the internet

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Rapid Analytics MethodologyDelivering analytics speed requires alignment

• An effective analytics process is required

• The desired outcome is not simply analysis

• The goal is analytical insight that leads to improved decision making and customer satisfaction

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Delivering Analytics Speed

1. Start Simply: Begin with what you have, with the smallest set of data possible

2. Engage Leaders Early: Engage with leaders to share initial insights

3. Enrich the Model Iteratively: Add data elements that can provide meaning in each iteration

4. Emphasize Execution: Shift from analysis to execution as soon as elements of the path forward become clear

Four keys to an effective analytics process

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Start Simply

• Start with what’s accessible• Small data sets facilitate initial speed• Leverage learnings in early iterations to

save time later on

Begin with the smallest set of data possible

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Engage Leaders Early

• Assess leadership “pull” • Assess alignment and depth of analysis

required • Leverage feedback to focus efforts and

avoid wasted effort

Engage leaders early to ensure alignment and confirm direction

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Enrich the Model with Each Iteration

• Use input from leaders and SMEs to inform each iteration

• Leverage Alteryx’s architecture to join additional data sources and iterate through the analyses

• Review each iteration with leaders and SMEs to confirm alignment and expected outcomes

Add data elements to the model and assess relevance

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Emphasize Execution

• Consistently, employees report that execution is a bigger challenge than good planning (or analytics)

• We need to focus on execution to ensure our analysis will translate to customer value

Good Plans vs. Good Execution—Which Needs the Most Attention?Dick Ruhe / September 30, 2013

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Rapid iteration has multiple benefits

• Allows us to start to move forward without waiting

• Allows us to test business level engagement to decide resources to apply

• Allows us to incorporate learning along the way

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Alteryx’s Modular Architecture is Key

• Alteryx’s design drives rapid iteration• Individual tools allow for quick module

assembly, fast changes, and easy additions

• Leveraging previous Alteryx modules and others’ analyses facilitates speed

Alteryx is designed for rapid iteration

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Example 1: Contact Center Volume Drivers

Streamlining the Customer Experience

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Start SimpleWe started with a small set of data

• Started with data that was immediately available

• We analyzed contact volumes across several regions

• We enriched the model and normalized contact volume with customer counts

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Alteryx ModuleAn Alteryx module allowed us to conduct rapid iterations with minimal effort

• Scheduling modules to run saves analyst time in future iterations

• We can quickly add elements to the model

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Engage Leaders EarlyWe asked leaders key questions to assess alignment

• Do the data align with what they are seeing and experiencing?

• Do they have other feedback about the data?

• What issues are they experiencing?• Do the data support their assumptions?• What other data would they like to see?

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Engage Leaders EarlySharing the model with leaders early provided key insight

• By reviewing analysis early we discovered key areas of alignment

• Leaders were most interested in an unexpected area of our analysis

• We saved analyst time by understanding level of analysis required

The 9th most frequent call turned out to be of

immediate importance to a senior leader

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Example 2: Customer Onboarding

Working Across Departments to Optimize Cost and Customer Experience

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Kaiser Permanente Experienced Rapid Growth

• Kaiser Permanente has experienced significant customer growth in 2014.

• Large influxes of customers requires close coordination among departments

• Systems and processes stressed by growth required increased coordination and visibility to data

Rapid growth stresses processes and requires effective internal collaboration

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We Needed a Cross Functional Customer View

• Membership onboarding and customer service data were joined to achieve maximum insight

• Data elements were added with input from SMEs

We blended and analyzed multiple customer data sources

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We Engaged Leaders EarlyWe asked questions to help us decide the next action

• If we continue this analysis, who is in a position to take action?

• What type of action could possibly be taken?

• Do we have the right people involved?

Experts guided the next iterations

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We Emphasized Execution

• Once the needed solution was discovered, we shifted our analytics efforts

• The analytical model now empowers tracking of improvement

We achieved sufficient insight and moved to support solution implementation and benefits tracking

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ResultsOur process is 4X fasterWe expect to realize 3X the cost savings

• We can conduct analysis an estimated four times faster with Alteryx than with previous tools

• Compared to our previous methodology and tools, we expect to deliver three times the cost savings with a rapid iterative analytical process that is fueled by Alteryx

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Summary

1. Start Simple: Begin with the smallest set of data possible

2. Build a Model: Create a model that can be leveraged in future iterations

3. Engage Leaders Early: Engage with leaders to review the iteration

4. Achieve Analytics Insight: Seek input from leaders and SMEs to find meaning in the data

5. Enrich the Model with Each Iteration: Add data elements that can provide meaning in each iteration

6. Focus on Execution: Execute as soon sufficient analysis is obtained

Alteryx enables rapid iterations of analysis

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Thank You