FROM BI TO BIG DATA

21/11/14

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« Stop the ‘BlaBla’, let’s

start Big Data … »

WHAT DO YOU ABOUT SOLOCAL GROUP?

WHAT DO YOU ABOUT FRENCH YELLOW PAGES ?

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AND WHAT ABOUT ME?

Still at school, I am Business Intelligence

Professor at Paris Sub 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 chroniqueur in the media www.decideo.fr.

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 …

BUSINESS INTELLIGENCE FRAMEWORK

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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

ChainFinanceSalesStock

Files

HR CRM

Data Architecture

Datamart

Cubes

Data Transformation

ETL/ELT EAI EII

Staging

Area

DWH

Data Quality

Cleaning EnrichmentDetection and

Analysis

Meta Data Master Data

Data Access & Final User

Data Access Definition

Data Mining Dashboard

Weh Access

Standard

RapportsOLAP Analyses Extractions

Search &

Navigation

Alertes et

Notifications

Users ServicesUsers Training Help DeskRequirements

ManagementAnimation

Foundations

MethodologyRules &

Principals

Competency

Management

Technical

Training

Technology

Watch

Others

Fonctional

Meta Datal

Technical

Meta Data

Repository

Access/Roles

Compatibility

Rules

Workflow

Business

Repository

Profiling

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 & BigData paradigm:

we have to gather most & most data => we aware that

a DataWarehouse with more that 50 Tb is very

complicated to maintain

we have to consider unstructured data, with can 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

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

ChainFinanceSalesStock

Files

HR CRM

Data Architecture

Datamart

Cubes

Data Transformation

ETL/ELT EAI EII

Staging

Area

DWH

Data Quality

Cleaning EnrichmentDetection and

Analysis

Meta Data Master Data

Data Access & Final User

Data Access Definition

Data Mining Dashboard

Weh Access

Standard

RapportsOLAP Analyses Extractions

Search &

Navigation

Alertes et

Notifications

Users ServicesUsers Training Help DeskRequirements

ManagementAnimation

Foundations

MethodologyRules &

Principals

Competency

Management

Technical

Training

Technology

Watch

Others

Fonctional

Meta Datal

Technical

Meta Data

Repository

Access/Roles

Compatibility

Rules

Workflow

Business

Repository

Profiling

FROM TRADITIONAL BI TO BIG DATA ARCHITECTURE

Traditional BI

Enterprise Structured Data

ETL Data Transformation

ERP Files CRM SCM

Data Marts Cubes OLAP

Databases

Departmental BI

In Memory

Dashboarding

Predictive analytics

Data Warehouse

Mobility

Data Association

Data Visualisation

Unstructured Data

Exploitation and analysis of all Information

Image, Vidéo Intranet / 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

Functionnal Data Mart / Data Sets

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Open Data Group (Operational Data)

Enterprise Structure Data

Web site logs

Stock Finance Mobile logs

Unstructured Data

Image, Vidéo Intranet / Content Management

Social Network RH 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 Chain CRM

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

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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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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