© CGI Group Inc. 2015

Jonas Linders

04.10.2015 (dato)

Turn your information into a competitive advantage

INDLÆG 03 · Data Driven Business Value

Jonas Linders

Experience in

• Strategy and Governance: Helping clients with the governance and strategy aspects of

their BI initiatives since 2009

• Business Analysis: Engageing in early stages of BI Initiatives facilitating the clients

SME’s to articulate objectives and demands since 2005.

• BI Architecture: Designing Data Warehouse and Business Intelligence solutions for our

clients since 1998

Education Role Industries

M.Sc Informatics Solution Area Manager

BI & Big Data Analytics

•Manufacturing

•Transport & Logistics

•Utilities

•Telco

•Retail

•Government

•Health

•Banking

2

Agenda

3

Big Data Definition

BI Scenarios

Driving Forces

Data to Diamonds

Big Data Lab

Q & A

1

2

3

4

5

6

4

Big Data Analytics is strategic

5

300

600

400

250

1160

900

240 350

• Big Data makes it possible to know, predict

and influence events that determine the

success of your organization

• Using data to help our clients gain insights into

the people and things important to them

• Use those insights to improve business

processes

4000 Members in the Data Management,

Business Intelligence and Analytics space

The BI Scenarios Harmonization

Integration

High

Low

Low High

Domain

Applications

Performance

Management

Information

Discovery

Enterprise

Reporting

6

Big Data Analytics – Information Areas

Business

Things

People

7

Source: CGI Voice of Our Clients (2015)

Four key “change” initiatives emerges as priorities

41%

Integrating data

across silos to

enable “360

views” of

customers,

facilities, and

other elements

360◦ Enterprise

Views

34%

Using data from

sensors (IoT) to

improve

operational

effectiveness, e.g.,

predictive

maintenance

Harnessing the

Internet of Things

15%

Monetizing data

by bringing new

and innovative

information

services to market

Monetization (New data-based services)

62%

Improving “digital

customer

experience”

using insights

from customer

data

Digital Customer

Experience

8

Consumers have changed !

9

Consumers infidelity

61% of 18-24 year olds say they change more often brand than a

few years ago

Consumers opinions

62% of Consumers have already given up buying a

product after learning of online opinion.

Social networks influence

91% of users "share" on the internet at least once a week

Real time obsession

•247 billion emails

•16 billion SMS

•90 million Tweets sent per day worldwide

Individualization of the consumption

Multi-devices and multi-connected consumers

New opportunities, and challenges, are growing fast

10

Internet of Things

Manage, optimize, and monetize sensor and machine data

Cloud

Step-function increases in efficiency and flexibility

Mobility

Deliver dashboards and analysis where people need them

Predictive Analytics

Improve business processes with sharper predictions of human and machine behavior

Self Service BI

Power in the hands of business

Hadoop and noSQL

Managing huge complex data

Analytical methods

11

Data about Things

• ThyssenKrupp Elevators wanted to find ways

to monitor their install base of 1.1 million

elevators world wide.

• Later generation of elevators provided a rich

varity of sensors.

• Internet of Things platform handles the

collection of data, processing of events and

classification of alerts for monitoring

• Analytics provice the train and refine the

predictive models

Predictive Maintenance

12

Data about People

• Liseberg wanted to use the Mobile Channel

to have a dialogue with their customers

before, during and after the visit to the theme

park.

• Liseberg wanted to facilitate the visit to the

park by giving assistance to the visitors about

direction, attractions, queue-times and the

location of family/friends

• Beacon Analytics provide insights on

• Number of visits and visitors

• Queue time and durations

• Movements and paths

Visitor analysis

13

D2D Methodology Framework

Vision Shape Change Deliver

Maturity & Quality

Scan

Roadmap & Blueprint

Scan Project Scan Service Scan

•Strategy Study

•Feasibility Study

•Business Case

•Requirements

Analysis

•Architecture Design

•Build IM Foundation

•Build BI & Analytics

•Test & Transition

•Application Mgmt.

•Data Resourcing

•Information Delivery

Strategy Assessment Roadmap & Blueprint

Assessment Compliance Audit Service Evaluation

Plan

Do

Check

Act

BI Management

BI Governance

Control

Funding

Define Vision

Manage

Programs

Develop User

Skills

Methodology

Leadership

Technology

Blueprint

Establish

Standards

“The CGI Data to Diamonds Framework is the most comprehensive BI methodology I have seen, after meeting lots of BI

vendors and systems integrators worldwide.” - Nikolaus Walkowsky, DHL Express Global BI Manager

14 © CGI Group Inc. CONFIDENTIAL

15

A Data to Diamonds proposition

CGI Big Data Lab

The Challenge

• Articulated idea of the value

• Available data

$ • ROI

• Resources requirements

• Tech and analytical competencies

• Technical environment and tools

• Proof of Value

• Defined technical requirements

16

Technical Environment and Tools

File Sources

Database

Sources

Real-Time

Streaming

Sources

Data Lake

(Hadoop +

RDMS)

Decision

Engine

MDM Party, Product,

References

EDW Integrated

Structured

Enterprise Data

Data Marts Reporting &

Analytical

Operations

Insights Mart

Information Access Dashboards,

Reporting, Analytics,

Mobile Visualization,

Operational Access Business Integration

Data Governance Metadata, Data Quality, Lifecycle Management

Data-Driven Business Insights

17

Competencies

Big Data Lab

AUTOMOTIVE TELCOS FINANCE

Consumption

Ad Hoc Analysis

Root Cause Analysis

Multi-Device Provision

Methods / Insight Generation

Descriptive Analytics

Predictive Analytics

Behavioral Analytics

Data Management Multiple

Source Acquisition

Data Integration

Data Quality Assurance

Data Sources 3rd Party

Data Providers

Unstructured Data

Structured Data

Streaming/ Voice Data

User Experience Leads Big Data Designers

Industry Experts Data Scientists

Data Architects, DBA‘s ETL Designer / Developer Data Integration Experts

Data Architects, DBA‘s ETL Designer / Developer Data Integration Experts

…

Solu

tion &

T

echnic

al

Arc

hitectu

re

Perf

orm

ance

E

ngin

eer

18

Delivering valuable Insights from Data

• Collaboration – combine understanding of

the business domain, and the technical side

of data and systems.

• Evolutionary approach – leveraging Big

Data opportunities, whilst safeguarding

investments made in the past.

• User experience – users will adopt what

they can use and what brings them value.

• Agility - highly adaptive to changing

business environment and user needs.

• Sustainability – ensure service levels

beyond business expectations against

affordable cost levels

Business

understanding

Data

understanding

Data

preparation

Modelling

Deployment

Evaluation

Data

SYSTEM ≠ INSIGHTS

19

Examples

Improved diagnosis,

leveraging health

device analytics

Finding the influencers

to attract new customers Dynamic pricing in

the on-line store

Influence driver

behavior, improving

safety and saving fuel

Localize and predict

water leakage

20

Ministry of Infrastructure

• Prior to a renovation of the Velsertunnel the

Ministry of Infrastructure wanted to

investigate if it was possible to develop a

model that predicts traffic flow by using Big

Data technologies and a combination of

internal and external data sources.

• Collaborating with customer SME’s utilizing

our Big Data Lab and using Proof of Value

methodology.

• Resulted in a predictive model for traffic in a

road network based upon 2 years of internal

and external data covering +50 variables

allowing both Basic Trend Forecast for traffic

intensity and predicting impact of external

factors.

• Next steps are to increase quality and

availability, augmenting by new datasets

and developing new tools for computing

traffic intensity on a route.

Predicting traffic congestions

21

Dataset

Lusdata A22 L

Lusdata A22 R

Lusdata A9 L

Lusdata A9 R

LusdataN246 L

LusdataN246 R

LusdataN197 L

LusdataN197 R

Incidenten

KNMI

Griep

Google trends

NS

Matrix

Feestdagen

AEX

Vitens

• Water supply companies in Europe invest

20 billion euros annually to maintain the

reliability of their networks.

• Leaks present problems for customers and

have a major impact on the operations.

• Vitens wanted to explore how to leverage

available data to better predict and localize

leakage in the network.

• Collaborating with customer SME’s utilizing

our Big Data Lab and using Proof of Value

methodology to Identify predictive indicators

for leakage detection.

• Resulted in a predictive model that enables

leak detection within a 2.5km radius in 50%

of cases (was 20km).

• Enabling better customer service and saving

millions in preventing interruptions.

Finding the leak

22

Wrap up

$ • CGI Big Data Labs available in

Netherlands

• IBM

• Microsoft

France

• Amazon

• Cloudera

Germany

• Teradata

Czech republic

• Open Source

23

Jonas Linders

Solution Area Manager, BI & Big Data

Mobil: +46 733 983305

E-mail: jonas.linders@cgi.com

24

Vil du vide mere?

Kontakt:

Data and Analytics at CGI

25

Hundreds of successful

projects across all

industry sectors and

functions

Improve the customer

experience

Create business value from data about

Things and People

A $900

Million

Business in

2014

Reduce the

costs and

complexity

of

managing

ever-

growing

volumes of

data

A proven Big Data,

analytics and BI

delivery methodology

called Data2Diamonds Improve citizen

safety and

security

A global practice team, and

practice leadership council

Over 4,000

Members

skilled in

delivery

Embedded in many of CGI’s IP products,

including Advantage, HERO,

Collections360, Trade360 and Strata

Improve patient

care

http://www.cgi.com/en/business-intelligence-services