Accelerate Actionable Insights with the Business Data Lake

1 © Copyright 2015 EMC Corporation. All rights reserved.

ACCELERATE ACTIONABLE INSIGHTS WITH THE BUSINESS DATA LAKE CAPGEMINI AND PIVOTAL: “INSIGHT DRIVEN” EMC FEDERATION BUSINESS DATA LAKE REALIZES BIG DATA VALUE



Agenda

What is it we set out to solve?

How did the Business Data Lake solve that

How to industrialize the Business Data Lake

How this is changing industries like Automotive and Oil & Gas


Corp

ora

te

Ad-h

oc

LOB

man

age

men

t

Oper

atio

ns

Market

Multiple internal views – consistently compromised

Oper

atio

ns

LOB mart Spreadsheets

Line of business

Transactional systems

CRM ERP PLM

EDW

Fit

Detail

Freshness

Fidelity

Corporate

ODS

Web


What IT used to say

“LET’S BUILD A BIGGER DATABASE”


Why the single view fails

Div

isio

n 1

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al

KP

Is

Div

sio

nal K

PIs

Corporate

Now agree on

everything Div

isio

n 2

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Div

isio

n 3

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Div

isio

n 4

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Corporate KPIs


So what do we need? Govern where it

matters

!  Focus on MDM and RDM !  Enforce only when sharing !  Treat Corporate as aggregation of Local.

Encourage local requirements

!  Let the business decide what they need !  Build from the bottom !  Enable traceability to source !  Disposable data views.

Distill on demand

!  Select only what you want !  Business friendly tooling !  Re-usable information maps !  Rapid change cycle.

Store everything

!  Store everything ‘as is’ !  Include structured and unstructured data !  Store it cheaply.


Why the Business Data Lake succeeds

Div

isio

n 1

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al

KP

Is

Now agree

where it counts

Div

isio

n 2

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Div

isio

n 3

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Div

isio

n 4

Sales

Finance

Supply chain

Marketing

R&D

Pers

on

al K

PIs

Div

sio

nal K

PIs

Corporate

Corporate KPIs

Div

sio

nal K

PIs


Ingestion tier

Insights tier

Unified operations tier

System monitoring System management

Unified data management tier Data mgmt.

services MDM RDM

Audit and policy mgmt.

Processing tier

Workflow management

Distillation tier

HDFS storage Unstructured and structured data

In-memory

MPP database

Real time

Micro batch

Mega batch

SQL NoSQL

SQL MapReduce

Query interfaces

SQL

Business Data Lake Architecture Sources Action tier

Real-time ingestion

Micro batch ingestion

Batch ingestion

Real-time insights

Interactive insights

Batch insights


The new philosophy

Business Data Lake

Store everything

Encourage local

Govern only the common

Treat global as a local view

It’s all about insight at the point of action


But what we don’t want

Awesome Business

Idea

Give me 3 months to design the hardware

Then 10 people to manage it

And another 10 to

manage the clusters


Think Platform – Think Blueprints

Infrastructure as a Service

Platform as a Service

Data as a Service

Insight Application

Insight Application

Insight Application

Insight Application

Man

aged

Ser

vice

Man

aged

Service

Insights derived for the automotive industry


The automotive industry is booming, but also facing significant disruptive change

Martin Winterkorn, VW

Our sector faces a disruptive change... those who are not willing to change will not exist in the future

Ian Robertson, BMW Michael Gorriz, Daimler

The Auto industry will see more change in the next five years than in the previous 100 years

We are very close to a radical change in our industry

Andy Palmer, Aston Martin

We are on the cusp of one of the most radical changes in the way that you buy cars in 125 years

Earl Hesterberg, GroupOne

Our USP is having the best systems, processes and data in the industry

The fun has just started

Warren Buffet, Berkshire Hathaway Automotive

(On the purchase of Van Tuyl Group)


Interest Purchase Ownership Repurchase

CONNECTED CUSTOMER Putting the customer at the centre of your company

CONNECTED VEHICLE Making the vehicle a node on the network

CONNECTED INSIGHTS Transforming data into competitive advantage

“We want to listen to the consumer and learn.” Dieter Zetsche, Daimler

“We need to work with companies from outside the sector.” Sergey Brin, Google

“Data is the new currency for our industry.” Luca de Meo, Audi

Capgemini sees three areas driving customer management in the automotive industry


Ign

ite

Micro Targeting

Loyalty Prediction

Renewal Prediction

Price Optimization

Social Insights

En

visio

n Connected Insights

Automotive Insights Lab

Warranty Prediction

Sales Forecasting

Social Insight into Action

Capgemini sees three areas driving customer management in the automotive industry


Pricing & Demand & Warranty prediction

!  Proven cases of 7 times more effective targeting !  Over 20% increase in average revenue per campaign, with 10%

cost reduction Profiling & Targeting

!  Improved stock replenishment due to more robustly predicted demand on vehicle model, parts and geographical level

!  Improved warranty claims prediction accuracy by >100%

Pricing & Demand & Warranty Prediction

!  Success rate of identifying customers to repurchase increased by > 300%

!  About 2-3 times more conversion due to up-sell and cross-sell analytical models

!  Decrease in churn rate by 15-30%

Renewal & Loyalty

Ign

ite

We have proven that Connected Insights delivers tangible results

Capgemini/EMC Joint Offerings Big Data/Predictive Solutions


It’s about Business: Oil & Gas Companies Are Looking For Answers to Three Fundamental Questions

…while I decrease COST…

…and deploy CAPITAL more efficiently?

•  per Well? •  per Asset? •  per Business Function Engaged in Well Lifecycle?

•  per Well? •  per Asset? •  per Business Function?

How can I increase PRODUCTION and RECOVERY •  per Well? •  per Asset?


Capgemini/EMC – Data Lake Driven Approach Production Optimization – Drilling Smarter, Faster, Cheaper

RTD

Drilling Optimization By Phases

RTC

RTP

D&A

Build Predictive / Prescriptive Models That: •  Improve production & reserves forecasting •  Improve ultimate reservoir recovery (IUR) •  Optimize completions engineering designs •  Enable targeting of high value acreage / acquisitions / Joint

Venture partnerships

Utilize Predictive Analytics To: •  Optimize drilling for production “sweet

spots” (placement, spacing, steering) •  Optimize drilling and completions models & costs •  Improve “non-productive time” - NPT

For Conventional and Unconventional Fields Potential Benefits are Staggering: •  Improve production and cost forecasts vs actuals –

Market & Reporting consistency This is a Real and Demonstrable Solution today Current Projections for active PoC (15,000 Wells) •  Increase oil production 5-10% •  Decreases completions costs 5%+


2 Year Cum Oil Predictions Dashboard Predict cum oil performance of “to be” Bakken wells at 30, 60, 90, 120, 150, 180, 365 & 730 days

1

“Health Check” Dashboard Performance monitoring & continuous improvement of predictive models Exception Based Surveillance of producing wells to trigger Alerts/Actions

4

“Trend Analyzer" Dashboard As new data flows in daily, spots statistically significant trends Spot potential Production Loss and irregular pressure/lift changes

3

“Completions Optimizer” Dashboard Facilitate interactive experimentation deriving optimum completions design(s) – What if Reservoir Simulator

2

Production Optimization Advanced Analytics


Analytics Health Check 90 Day Trend Analyzer Rate/Cum Oil Predictions Completions Optimizer Stages Trend Analyzer

Proven Production Optimization Solution

Extended Business Data Lake

Built

Operations Data Lake -  Geo, GIS, Production -  Drilling and Completions, -  Financial, Planning Cycle

Advanced Analytics -  Business analytics models -  Pivotal based analytic engine -  Agile fast fail, fast learn team

Secu

re A

rch

itect

ure

an

d I

nfr

ast

ruct

ure

Produc(on -‐  Op’s data store

-‐  Field data

Operating Company Data Sources Utilized

Drill & Comp. -‐  Op’s data store -‐  Services data

Financial ERP -‐  SAP OpEX

-‐  Revenue acct

Planning Cycle -‐  Well life-‐cycle -‐  Field life-‐cycle

Geo-‐prognosis -‐  Geology

-‐  GIS, Well Hdr

Public Data -‐  IHS, Basin -‐  Drilling info

Unstructured -‐  Daily reports -‐  “Small” data

Build in Context, Time Specific BI and Analytics Visualization Portal

Capture & Maintain all Data in Data Lake, Use in Workflows & Advanced Analytics

Assess and Understand Key Data, Workflows and Business Impact


•  Capgemini –  The only SI partner

at launch

•  Capgemini & Pivotal –  The co-inventors of

the BDL

•  This is the industrialization of our vision

THIS ISN’T JUST WORDS: THE EMC FEDERATION BUSINESS DATA LAKE


1.  STOP thinking about disparate silos of information

2.  START thinking about a single Business Data Lake approach

3.  THINK about the operational costs

4.  Identify your core use cases

5.  Deliver – prove the value before the end of the year

WHAT TO DO?


WHO TO CONTACT

•  Steve Jones –  [email protected] –  Creator of the BDL

•  Paul Gittins –  [email protected] –  Group Alliances for Pivotal

Group Alliances for Pivotal

•  John McKinney –  [email protected] –  North America – Pivotal & BDL

•  Vinod Shankar –  [email protected] –  Pivotal CoE Lead

!  Lee Brown •  [email protected] •  EMEA – Pivotal & BDL


THANK YOU

+


Together - delivering end-to-end solutions for information lifecycle and helping customers transform business

•  Leading systems integrator and provider of consultancy, outsourced services and enterprise infrastructure

•  Joint executive level commitment and alignment •  Dedicated teams to support pre-sales, sales,

delivery, engineering, and product development •  Global training program for solutions development

to on-shore and off shore delivery. Fully integrated inside Capgemini University for Capgemini career skills and development

•  Providing end-to-end solutions for clients, bringing together joint sector, application, and infrastructure experts

•  Global delivery model with hubs in many countries providing greater delivery-driving economies of scale, delivering best practices and customer experience

Capgemini and The EMC Federation EMC II, PIVOTAL, VMware, VCE

Jeremy Burton, President, Products and Marketing at EMC speaks at Capgemini SPARK on digital transformation

Capgemini receiving EMC Global Federation Award 2014 (given at EMC World 2014)

The information contained in this presentation is proprietary. © 2015 Capgemini. All rights reserved.

www.capgemini.com

About Capgemini With almost 145,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulQng, technology and outsourcing services. The Group reported 2014 global revenues of EUR 10.573 billion. Together with its clients, Capgemini creates and delivers business and technology soluQons that fit their needs and drive the results they want. A deeply mulQcultural organizaQon, Capgemini has developed its own way of working, the CollaboraQve Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.

Rightshore® is a trademark belonging to Capgemini

Accelerate Actionable Insights with the Business Data Lake

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