SAP Big Data Forum 2013 A2 Deloitte

© 2013 Deloitte The Netherlands

From Big Data to Big Information SAP Big Data Forum

Den Bosch, October 10th 2013



The Big Data challenge is structured around four dimensions

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Technology Data &

Information

Organization Governance &

processes

SAP Big Data Forum - October 10th 2013


Knowing what you would like to know is essential

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Generate Cash

Reduce Risk

Increase Quality

Four ways to benefit

Begin with the decision makers and their

crunchy questions and then work to find the

appropriate choices of data sources and

technologies to address the needs. Linking Data to Strategy and Enterprise

Value: Understanding the data as completely

as possible and clearly identifying its links to

various value levers is critical before designing

any Big Data Solution.

Tailoring User Experiences for Big Data:

The insights derived from processing and

analyzing huge volumes of data need to be

communicated to the decision makers at the

right time, in the right format and in the

right amount to realize business value.

D&I


Asking Crunchy Questions Some examples


Customers and social media

• What’s the buzz about your company

online—and how could it impact sales

forecasts?

• What are analysts saying about your

organization? What about customers

and online influencers?

• Who are the next 1,000 customers

you’ll lose—and why?

• Which trade promotion programs have

the highest impact on

• profitability?

• What factors most influence customer

loyalty? Why?

• How do factors such as politics and

demographics affect the price your

customers are willing to pay?

• Which factors have the most adverse

effects on customer satisfaction?

Sustainability and supply chain

• Which facilities are using more energy than

they should?

• Which suppliers are at risk of going out of

business?

• What is the impact of shipping costs on

pricing?

• Which locations offer the best options for

setting up your next distribution center?

Employees and risk

• Which new-hire characteristics best reflect

your organization’s risk intelligence profile?

• Which are most likely to steal from you?

• Why do high-potential employees leave

your company? What would cause them to

stay?

D&I

A venerable motto of computer science is GIGO: “garbage in, garbage out.”

Perhaps an analogous motto for the nascent field of data science ought to be NIINO: “no insight in, none out.”


Part of the Big Data value is coming from the unknowns, however

processes and governance are still required

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G&P


“While the potential benefits of big

data get a lot of attention, less

attention is given to the costs.”

Establishing Agile Data Governance:

Big Data solutions need to embrace agility but

data governance still needs to be in place to

deliver business insights cost-effectively.

Traditional data governance must evolve to

encompass non-traditional data sources.

Quality becomes a multi-faceted concept

in Agile Data Governance as:

Data comes from external uncontrolled

sources

Data is deliberately not normalized

Extracting data structures requires reviews

I II

IV III

Va

lue

Effort

H

L

L H

Crunchy questions in

High value insights out


Skills you need for turning Big Data into Big Information

7

O


T. Davenport & D. Patil – HBR Oct 2012

Professional

Services

Functional

Expertise

Information Consumption and Decision Making

Data Management

Infrastructure Management

Enabling Big Data Management and Analytics

Functional experts with industry and

domain specific skills

Management, scientific and

technical consultants

Analytics oriented decision makers

Data and Business Analysts

Data Scientists

Research Specialists

BI Professionals

Application Programmers

Data Architects

Data Management Professionals

Data Analysis BI Application

Programming

Infrastructure Management

and Support Professionals

Statisticians, Mathematicians,

Computer Scientists, Data

Mining Experts, Operations

Research Analysts, Scientists

…

Distributed Systems

Management experts, Cloud

Management experts

Distributed database

management experts,

NoSQL experts

BI, Advanced Analytics and

Big Data experts


The requirements for processing large amounts of data, advanced

analytics and complex visualisation require the right IT

infrastructure and software

8

T


Managing Hybrid Data Architectures:

Big Data technologies complement existing data

architectures. However, organizations need to

understand the trade-offs to design the optimal

data architecture that not only addresses the

business needs but is also scalable.

Gather Store

Analyze Vizualize


A five step approach from Big Data to Big Information


Begin the Analytics

Journey by exploring

the business

challenges to be

answered by Analytics.

Define the Analytics

Strategy to meet the

challenges

Understand the current

state, benchmark and

define more detailed

requirements for

analytics capability

Proof of Concepts and pilots

allow hypotheses to be tested

and the roadmap to be refined,

creating buy in for the Analytics

initiatives

Deliver the capabilities set

out in the Analytics Strategy

and start exploitation with

business users to ensure

uptake and continuous

improvement

Define a roadmap of

initiatives to build

Analytics capabilities

Vision & Strategy Analytics Maturity

Assessment Roadmap

Vendor Selection Analytics Target

Operating Model

Plan

Execute

Design, deploy and exploit

new capabilities. Monitor

and evolve over time.

Implement pilots and

PoCs to test

hypotheses and

create success

stories

Perform gap

analysis and

draft roadmap

Assess current

capability and

data landscape

Assess challenges

and identify

opportunity to

define an Analytics

strategy

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“Better to have an approximate answer to the right question

than a precise answer to the wrong question.”

John Wilder Tukey (1915-2000)



Contact


Jorg Schalekamp

Director

Business Intelligence & Analytics

[email protected]

+31 88 288 72 17 (work phone)

+31 6 13 127 559 (mobile phone)

.

Deloitte Analytics

Like other companies, we can help our clients

capture, manage and analyze their data. But only

Deloitte has the deep industry expertise, advanced

analytics capability, and understanding of decision-

makers’ roles to maximize its value – turning

everyday information into useful and actionable

insights.

mailto:[email protected]


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SAP Big Data Forum 2013 A2 Deloitte

Technology

big data value

big data solutions

big data challenge

benefitdilinking data

potential benefits of

traditional data governance

nontraditional data

nascent field of data