Data Driven Decisions via a Self Serve Ecosystem

Ron KrzoskaDirector of Engineering, Analytics Motorola Mobility krzoska@motorola.com

Ron KrzoskaDirector of Engineering, Analytics krzs75@gmail.com ronkrzoska

The Vision: Drive informed decisions that yield a competitive advantage

Example Cloud Ecosystem

WebProduct

Sales

Business Operation

CustomerSupport

Partners & Carriers

Consumers: Phones, Wearables &

Companion ProductsInternal Business

Teams

Marketing

FinanceEngineering

Motorola Cloud

How is data gathered?

On-Device Applications & Services

Web Applications

Cloud ecosystem gathers data from the device and web applications on a periodic basis*

● Data is stored in big data repository

*Must follow strict user opt in and privacy guidelines for gathering device and web information. PII data should be anonymized as appropriate

How does the business use the data?

Business - Activation reports Executive/key stakeholder usersDrives business objective

Device - Stability insights Consumer and Development Insights through product lifecycle

Customers - User Opinion Insights enable the voice of the customer to be heard and become actionable

Device - Analyzer Tool - Real time device insight improves customer experience.

Experience - Insights identify consumer usage and behavior to drive roadmap.

Ecosystem - The bedrock of a data driven culture. Robust community of users with bi-annual summit, robust training and support environment via solution engineering, moto ask and data wiki

George who is leading the user experience ona new feature is checking the latest experimental results and adjusting the application’s setting in real time during his commute

RequirementsUbiquity

Insights on all form factorWith you at all timeEnabling real-time feedback loop, action and

communicationInsights

The source for business decision makingExplanation based Models and

ExperimentationRecommendation based on Alerts & ModelsPredictions based on Extrapolation, Models

and Experimentation

Who uses analytics?

Inflection point/opportunity

How to promote self serve and democratize Analytics within the

company while maintaining quality as well as managing Big

Data access?

Prior environment- Reports are produced by a centralized team- Insight needs are rapidly changing- In the eyes of our customers, long lead time on report evolution

Key assumption: Business community gains SQL knowledge

Attributes: Standard retrieval, flexible access and visualization

Institutionalize SQL cultureResponsive designReport sharingReport viewing

Multiple Access Points for Data1. Browser Internal/External 2. Mobile App

Confluence’s Data Wiki

OSQA’s FAQ (Stackoverflow)

Data & Analytics Summit

Solution Engineering

Analytics EcosystemDevice Instrumentation

Big Data Environment

Cloud (GAE/GCE) Big Data

DriveInsights

BigFeed ETL

Product Architecture

Big Querydatasets

Drive Insights

AppEngine

Google Analytics

data

Device Instrumentation

App Engine

Tableaureports

Big FeedApp

Engine

Users, ReportsDatastore

Goo

gle

Driv

e

Users

Machine Learned

Models

gCha

rt +

D3

+ Ta

blea

u AP

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Bigfeed - Big Query to Big Query ETL

BigFeed

Check-in Data(PB)

StagingData(TB) Reporting

Data(GB)

BigFeed

How to create a Insights report?

Simple SQL interface to access data

What does the report look like?

An example of what’ possible with self serve big data solution

● Approaching 1000 monthly users● Over 60 developers of reports● Data driven decisions are institutionalized

across the business

Conclusion

● A self service ecosystem is viable and effective in a large organization● The ecosystem must include simple and intuitive tools● A thoughtful support system is needed

In this presentation, Ron Krzoska will discuss the journey to a data driven culture. This will be done through the lense of building a self service analytics ecosystem. The vision, business value as well as user profiles frame the path. The requirements have been realized with a SQL based solution. The experience, learning and custom capabilities to meet the needs of the business are discussed as well as the adoption throughout the business.

Abstract