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Accelerating the Pace of Transformation

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Copyright © 2015, Oracle and/or its affiliates. All rights reserved.

P&G’s Big Data Evolutionto the Oracle Public Cloud

Terry McFaddenPrincipal Information Architect, P&G

Jeff KnudsenEnterprise Architect, Oracle

P&G’s Big Data Evolution to the Cloud

• P&G Overview

• The Case for Big Data: Why P&G Started the Big Data Journey

• How We Got Started

• Original Big Data “proof points”

• Initial Findings and POC Results

• Initial P&G Big Data Cloud Efforts

• How Are We Doing?

• Where Are We Going?

About Procter and Gamble…

• 178 Years old this year

• Countries of operation: ~70

• Countries where are brands are sold: ~180

• Consumers served by our brands: 5 billion (approximate)

• Last FY Revenue: $76.28 billion

Business Description: The Procter & Gamble Company (P&G) is a leading

manufacturer and marketer of branded consumer packaged goods across the world.

P&G manufactures, markets and distributes premium quality, branded beauty, health,

fabric, home, baby, family, and personal care products.

The Case for Big Data:Why P&G Started the Big Data Journey

• Business teams needed access to more data ( sales, market measurements,

demographics, weather, social etc.) with more granularity to help drive deeper

insights.

• Challenges delivering significantly better explanatory insight – “why is this

happening”.

• Wanted to quickly acquire and integrate multiple structured and unstructured data

sources quickly, at volume.

• Needed the ability to be able to integrate a variety of NEW data types. Traditional

approaches not working.

• Growing data volumes = growing storage costs. Intervention needed!

Business Challenges / Opportunities

How We Got Started

• No need to build traditional canonical data models.

• We concluded the Hadoop ecosystem was the right add.

• Buy vs. build: P&G saw no business value in building their own Hadoop

infrastructure.

• P&G liked Oracle’s Big Data Appliance, and fit with other Oracle (e.g. P&G’s

Exadata systems connect to BDA via Infiniband).

• Low cost storage option changes thinking at multiple levels.

• The BDA’s ability to start small and scale as P&G’s Big Data requirements grow.

Why Big Data / Why Oracle

Original Big Data Use Cases

• Category Management / Proof of Platform

• Initiative Launch: Sense and Respond for live new product launches

• Customer Facing Operations – high value questions

• Other Hard questions - “Why is THIS happening”

• Ability to quickly load and integrate structured, unstructured, and semi-structured data

– P&G was able to load and integrate 25+ structured and unstructured data sources in 2+ weeks

– Data sources included conventional and unconventional data sources, market signals, item sales, market share, surveys, social, demographics, weather, and more traditional sources

Conceptual Framing: The Data Factory

Conceptual Framing:

The Data Factory

Physical Frames:

An Engineered Systems Landscape

This continues to evolve:• We DO want to exploit PUBLIC CLOUD for flexibility, scale, cost where possible.

• We DO have data types that have restrictions requiring a “private cloud” approach.

• We MUST balance this dichotomy, for security, cost, and manageability. Factors

include:

• Key features P&G seeks include (not unlike others):

– Cost benefits from multi-tenancy, where we can leverage it.

– Standard Cloud service management and control restrictions.

– Metering, clear cost accounting and elasticity.

– Efficiently coordinate across Public and Private cloud topology.

P&G: Thoughts on Big Data and Cloud Architecture

Big Data Efforts: Learning Intent

Summary of Initial Big Data Cloud activities:

• Testing to understand ease of standing up a Cloudera Hadoop environment.

• Testing to understand network issues, security issues, and data transfer,

loading, integration.

• Testing to understand application development in that ecosystem.

• Testing to understand price performance considerations for a given

workload.

• Overall assessment of scale, flexibility, true elasticity

• Assessment of strategic directions, ecosystem benefits, financials

P&G & the Oracle Big Data Public Cloud

• P&G was experimenting with other Big Data/Public Cloud offerings, but concluded

Oracle deserved a closer look.

• In November of 2014 P&G and Oracle agreed to experiment with a Big Data Cloud

platform for P&G by April 2015.

• Oracle worked directly with P&G to help establish the service.

• Oracle agreed to setup a temporary Big Data Cluster by April 1st, 2015 with the

understanding that P&G would move to the Public Cloud platform when it is GA.

• Oracle turned-over the Big Data Public Cloud Server to P&G on April 1st, 2015.

• Oracle has since expanded it to accommodate growth in August, 2015.

• P&G is now migrating this pilot to the Oracle production environment.

Factors That Influenced our Thinking

Commercial,

Strategic &

Technical factors

...are key determinants

http://www.theregister.co.uk/2015/06/23/ellison_aws_price_war_amazon/

How Are We Doing?

• There have been some challenges, but Development has been very proactive in

helping P&G work through issues.

• ANY new service stand-up should be expected to have growing pains.

– Technical and operational “learnings” should be built into your time lines

– Commercial flexibility on BOTH sides makes life easier for all

• Overall, Oracle delivered what they said, when they said they would. The value

equation was there.

• Strong team behind the service. Talent was brought in.

• We stood up a new to our world app, exposed 150TBs of never seen before data,

that gives us new insight into the marketplace.

• Oracle is growing their ecosystem in intriguing ways. It’s no longer just about the

technology – a bigger potential is emerging.

Where Are We Going?

Summary & Futures:

• We see the potential for Big Data cloud services, as game changers.

• New data capabilities (e.g. Data as a Service emerging in the cloud) add synergy.

• New combinations of Iaas, PaaS, Saas, BPaaS from integrated providers.

• Explosion of data “outside the enterprise”.

• IoT is the offshore Tsunami headed toward Big Data land.

– Consumer devices

– Manufacturing

– Municipal

We are about to have MORE data, and MORE compute, than any time in history. We have worthy problems. We WILL have worthwhile answers.

Copyright © 2015, Oracle and/or its affiliates. All rights reserved.

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