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Improving Customer Experience One Meal at a Time Matthew Grace

Improving Customer Experience One Meal at a Time Matthew Grace

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Improving Customer Experience One Meal at a Time Matthew Grace. MUSE: Measure, Motivate, and Reward Staff Performance. Delivers: Harder – and smarter – working staff Measurable and sustained sales lift Improved service and customer loyalty A “Culture of Excellence”. - PowerPoint PPT Presentation

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Page 1: Improving Customer Experience One Meal at a Time  Matthew Grace

Improving Customer Experience One Meal at a Time Matthew Grace

Page 2: Improving Customer Experience One Meal at a Time  Matthew Grace

Confidential

MUSE: Measure, Motivate, and Reward Staff Performance

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Delivers:

• Harder – and smarter – working staff

• Measurable and sustained sales lift

• Improved service and customer loyalty

• A “Culture of Excellence”

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State of the Union - 2013

• Technical Challenges– Scale = Legacy architecture limited volume of data to be analyzed– Rigidity = Data schema and associated challenges dramatically reduced attributes

available to analyze staff performance– Predictive Modeling = “normalizing” process computationally expensive and inhibiting to

analytic models– Time to Insight = Cumbersome data pipeline and incompatible stores

• Business Impediments– Ability to discover emerging performance attributes = significant value – Data “currency” weighs on new market development – Flexibility critical to customer on-boarding and scalability of business model

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Page 4: Improving Customer Experience One Meal at a Time  Matthew Grace

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Decisive Actions Yield Groundbreaking Results

• Technical Considerations– Traditional MPP & Hadoop architecture– Purely open source “Hadoop stack”– Hadapt Adaptive Analytical Platform

• The Solution– Hadapt Adaptive Analytical Platform– Flexible Schema and Schemaless SQL completely change the data management

paradigm

• Results– Dramatically simplified data management pipeline and infrastructure architecture– Time to insight improved > 750x– Data now able to “speak for itself” providing unparalleled insights– Scalable & completely parallelized implementation of advanced analytic models– Business expanding into additional markets, verticals, and use cases

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6 Pillars of Architecture – Hadapt as our Analytical Core

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Point-of-Sale (POS) Terminals

Hermes: batch, on-demand, and real-time data synchronization.

Web Application Cluster

BigTable NoSQL Data store: checks, menu items, inventory, employees.

Hadapt: Online/Offline: Analytics

SQL Data store: users, preferences, requests, availability, etc.

Distributed Task Processing: Schedule optimization, ranking, KPI and report generation, etc.

Object & Page Cache Cluster

CDH 4.3Hadapt Adaptive Analytical Platform v2.0

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Confidential

Thank You!

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Hadapt Flexible Schema & The End of ETL Tuesday @ 11:50AM Rhinelander South

Booth #402 Sponsor Pavilion