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©2015 Talend Inc.

Data Refinery is Fuelling Next

Generation Big Data Analytics

Jean-Michel Franco – Talend - @jmichel_franco

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The story of information democratization

Mass media (passive Consumer)

Internet (active consumer)

Web 2.0 and Social Networks (prosumer)

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Information democratization in our organizations

Reporting (passive Consumer)

Business Intelligence (active consumer)

Big Data Analytics (prosumer)

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BI as we believe it should go Now we have the building blocs

From static reports to information discovery

Analytic apps rather than reports and queries

Self Service without constraints

Predictive analytics and machine learning

Manage the long tail of information

Data Lakes

Business user

Advanced users (Data scientists)

IT teams

Big D

ata D

ata D

iscovery

Data V

iz Em

bed

ded

A

nalytics

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Organization struggle to turn data into action

But there is still a huge content gap

Of customer contact Data is inaccurate

25%

Of contact Data has at 1+ change each year

71%

Sources: Ventana Research, Sirius Decision, Integrate, Experian,Gartner, Privacy Clearinghouse, Target Marketing, Forbes insights

Personal records compromised in the US since 2005

534M

Time spend to preparing and quality proofing data for analysis.

14M$

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Data sources make-up “customer data”

Of marketing orgs do not have a customer 360° view across channels

Veracity Volatility

Accuracy compliance

Accessibility Productivity

45%

65%

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From a fully IT driven model… …to a federated and collaborative

responsibility model

IT Lines of Business

Evo

lutio

n p

ath

From Data Management… …to Information Governance

Governance models are needed…

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… Together with the right set of tools

Data Inventory

Data Prepa-ration

Master Data

Mgmt.

Data Integra-

tion

Access the data.

Document & reuse.

Discover the Data.

Augment and connect.

Productize the

Data.

Sanction the Data.

Share and monitor.

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Data Curator (Data steward) Turns disparate data sources into a sanctioned asset Accountable of the shared content Ensures that the data is reusable, documented, secured…

Empowering the leaders of the Data Driven Organization

Line of Business User (Marketing, Finance, Operations, HR, …)

Deals with data every day… No IT skill, heavy user of ad hoc tools especially Excel Agile in Excel data crunching , macros & scripting, pivot tables…

Data Architect (IT)

Collects and ingests raw data, distribute to the Enterprise Empowers users with a data self-service Integration Cloud Citizen

Data integration is part of her daily job e.g.. Integrate 3rd party leads/contacts into CRM. Data prep as prerequisite to Integration

App Developer Uses APIs to incorporate relevant, timely, trusted data into applications

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The 3 pillars of the Information Refinery

Ingest data as it comes

Classify and prioritize based on relevance

Discover the data

Create and test the models

Turn information into a trusted and shared asset

Deliver Actionable insights The Information

Refinery

The Data Lab

The Data Lake/ Reservoir

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From Customer data into a golden record that makes every click personal

Turning raw data into actionable information.

Transform customer facing tasks into data driven process :

1. Collect data across touch-points

2. Transform into a 360°view

3. Turn data into insights with segments, scores, forecasts and recommendations

4. Connect in real-time with your customer and take action

Customer Data Platform

System of interaction

System of record

System of insight

System of engagement

Legacy

Systems

ERP

CRM

Cloud

Apps Internet

of Things

Web Logs

NoSQL

Predictive

analysis

Inbound/Outbound

campaigns

Customer Facing

Devices

CRM

E-commerce

Social

Networks

Machine

Learning

Recommendations

Analytics

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©2015 Talend Inc.

Data refinery is fuelling next

generation Big Data analytics

Jean-Michel Franco – Talend - @jmichel_franco