From Big Data to BI

1. FROM BI TO BIG DATA
ABED AJRAOU
JUNE 5TH 2015
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How Big Data is transforming Business
Intelligence

2. WHAT DO YOU ABOUT SOLOCAL GROUP?

3. WHAT DO YOU ABOUT FRENCH YELLOW PAGES ?

4. 4
AND WHAT ABOUT ME?
Still at school, I am Business Intelligence
Professor at “Paris Sud” University
With over 15 years experience in Business
Intelligence Practice, I am the head of
Business Intelligence in Solocal group.
Sharing knowledge : I am VP Education at DAMA
France and author in the media www.decideo.fr.

5. THE AIM OF THE BUSINESS INTELLIGENCE
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Business Intelligence is an complete environment
which should create intelligence with the data.
Actually, Business Intelligence have to give the right
data, to the right person, with the right tool at the
right time.
Business Intelligence is NOT a tool, is NOT a report,
is NOT a database …

6. BUSINESS INTELLIGENCE FRAMEWORK
6
Data Sources
Business Scope
CRM Finance Supply Chain Sales HR Operations Logistics
Business
Alignement
Change
Management
General Fees Others
Business Plan
Performance
Management
Others
Strategies
Operationnal
Alignement
Skills
Management
Progress
Strategy
Supply
Chain
FinanceSalesStock
Files
HR CRM
Data Architecture
Datamart
Cubes
Data Transformation
ETL/ELT EAI EII
Staging
Area
DWH
Data Quality
Cleaning Enrichment
Detection and
Analysis
Meta Data Master Data
Data Access & Final User
Data Access Definition
Data Mining Dashboard
Weh Access
Standard
Rapports
OLAP Analyses Extractions
Search &
Navigation
Alertes et
Notifications
Users ServicesUsers Training Help Desk
Requirements
Management
Animation
Foundations
Methodology
Rules &
Principals
Competency
Management
Technical
Training
Technology
Watch
Others
Fonctional
Meta Datal
Technical
Meta Data
Repository
Access/Roles
Compatibility
Rules
Workflow
Business
Repository
Profiling

7. THE PAINS OF THE BUSINESS INTELLIGENCE
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So what are the pains of the Business Intelligence?
Mostly come from the Digital Transformation & Big Data paradigm:
 We aware that a DataWarehouse with more that 50 Tb is
very complicated to maintain
 We never consider unstructured data, which come from
every where (logs, blogs, social network …)
 The batch treatment is not anymore compatible with
business need => we are now educate to have the data
quick and in real time

8. BUSINESS INTELLIGENCE FRAMEWORK
8
Data Sources
Business Scope
CRM Finance Supply Chain Sales HR Operations Logistics
Business
Alignement
Change
Management
General Fees Others
Business Plan
Performance
Management
Others
Strategies
Operationnal
Alignement
Skills
Management
Progress
Strategy
Supply
Chain
FinanceSalesStock
Files
HR CRM
Data Architecture
Datamart
Cubes
Data Transformation
ETL/ELT EAI EII
Staging
Area
DWH
Data Quality
Cleaning Enrichment
Detection and
Analysis
Meta Data Master Data
Data Access & Final User
Data Access Definition
Data Mining Dashboard
Weh Access
Standard
Rapports
OLAP Analyses Extractions
Search &
Navigation
Alertes et
Notifications
Users ServicesUsers Training Help Desk
Requirements
Management
Animation
Foundations
Methodology
Rules &
Principals
Competency
Management
Technical
Training
Technology
Watch
Others
Fonctional
Meta Datal
Technical
Meta Data
Repository
Access/Roles
Compatibility
Rules
Workflow
Business
Repository
Profiling

9. FROM TRADITIONAL BI TO BIG DATA ARCHITECTURE
Traditional BI
Enterprise Structured Data
ETL Data Transformation
ERP FilesCRM SCM
Data MartsCubes
OLAP
Databases
Departmental BI
In Memory
Dashboar
ding
Predictive
analytics
Data
Warehouse
Mobility
Data
Association
Data
Visualisation
Unstructured Data
Exploitation and analysis of all
Information
Image, VidéoIntranet / Content
Management
MPP/ Data Integretion
Real Time
Analytics
Column
oriented
Index
Text Agent Mining
Text Analytics Native Search
Social Network
MATURITY LEVEL OF ENTERPRISE DATA ARCHITECTURE
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OUR CONVICTION: OPENSOURCE WOULD SOLVE
MOST OF BI PAINS
The Enterprise Data Hub of Cloudera would be
the « Extended DataWarehouse »
The NoSql « Column Database » is the simple way to give access to the
end user and ensure good performance
The end of the Batch, and the welcome of the Streaming
and real time data
Performance ETL for the data transformation on top of
Hadoop
New Data Visualization / Data Story Telling, which is very
quick to install/deploy, and simple to use

11. Functionnal Data Mart / Data Sets
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Open Data Group
(Operational Data)
Enterprise Structure Data
Web
site logs
Stock FinanceMobile
logs
Unstructured Data
Image, VidéoIntranet / Content
Management
Social NetworkRH Supply
Chaine
CRM
Data Visualisation
NEW DATA ARCHITECTURE WHICH SUPPORT
THE 3V OF BIGDATA

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BIG DATA THE NEW AGE OF THE
BUSINESS INTELLIGENCE
Data Gathering & Transformation
KPI and Business Answers
Finance
Marketing Supply ChainCRM
Which new product will have the
biggest chance to be a
successful one?
Is my supply chain is sufficiently
rapid and effective? What are
the optimization factors?
Which one of key employee is
going to leave the
company?
How to send much more targeted
offers based on the opinions and
tastes of customers or prospects?
What transaction is at risk or
fraudulent?
Human
Resources
Enterprise Data
External Data

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OUR REALISATION 2014 – REAL TIME BUSINESS
Real Time Business

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OUR REALISATION 2014/2015 – POWER SELECTOR
Search Power Selector

15. HOW IT WORK IN SOLOCAL?
Idea
Build
Test &
Learn
LET'S PASSIONATE!
DARING!
INVENTIONS AND SIMPLIFY!
STRIVE THE EXCELLENCE!
Extract of the « charte de valeur »
Where are we in the transformation?
The top management is using Hadoop without
knowing that!
The first application using was:
• Sales revenue in real time => refresh very 5
minutes
• Solocal is a B2B company, so we are using the
external Data to understand what is the growth of
our clients …
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16. ADVICES: HOW TO ACTIVATE BIG DATA PROJECT AND
HOW START THE BI TRANSFORMATION?
Be the data pilgrim:
•Explain,
•Demonstrate,
•Give sense
With data, we can find lot of new idea,
and business area to explore
Find a sponsor with the company with should:
• understand the importance of this transformation
• highlight your vision
• give you some keys within the organization
• help you in your approach
Get started! We have all the technological
maturity to finally realize all our desires in
terms of data!
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