Transcript Big Data: Where is the beef? Drill Through the Hype to get Business Value Hans-Josef Jeanrond VP Marketing, Sinequa Where is the Beef A Mighty Question 31% increase.

Big Data: Where is the beef?
Drill Through the Hype to get
Business Value
Hans-Josef Jeanrond
VP Marketing, Sinequa
Where is the Beef
A Mighty Question
31%
increase in revenue for Wendy’s in 1984 the year
of the “Where is the Beef” commercial with Clara Peller
Gary Hart loses the Democratic primaries against
Walter Mondale who asks “Where
looking at Harts enormous case files
is the Beef”
Anticipate this question
in your Big Data plans!
Where is
the Beef ?
Where is the Beef in the Big Data Hype ?
Big Data - Hype and Useless Disputes
 Useless: “What is Big Data”
If it’s big and varied enough to cause you problems in dealing with it
and if it may be relevant for your business: take it as Big Data
 False promises: “You will be Rich”
The story of the nappies and the beer
 The Eternal Promise: “Structure the World to Possess it”
This is the Mediaeval Solution:
The Grail
Big Data - Hype and Useless Disputes
Beware: your Grail-quest companions may be
the wrong company for the new Big Data world!
Big Data – One Certainty
Big Data ain’t Structured!
80%
= unstructured
of enterprise data is
text
= outside the grasp of enterprise applications (ERP, CRM,
BI, etc...)
= inside documents, emails, social Networks, etc.
For the Brave who dare to confront
many different languages and know
how to analyze them
And who don’t just look at the meta
data of documents!
Where is the Beef in Big Data?
Look at just 2 Use Cases:
 Creating 360° views
 Mapping Implicit Social
Networks of Experts
What has Big Data got to do with this?
360° View of a Customer
Portfolio
Credits
Insurances
Operations
Credit ratings
Credit
cards
Offers
(product datasheet)
Shares
management
Emails
Contracts
Info Dunn
Letters
Interactions
with Call
Centers
Contract
models
360° View: Why Big Data?
 Volume: Index billions of transactions and hundreds of
millions of documents
 Variety: Index transactions, ERP and CRM data, contracts,
product brochures, emails, etc.
 Velocity: Get it all done fast enough to present an up-todate view of the customer walking up to you or calling you
Real-time is key!
Hadoop batch processing is not good enough
Implicit Social Networks?
Reveal Implicit Social Networks of Experts
 Why?
 Find the key experts in a given domain to build successful project teams.
 Key experts can help capitalize on existing skills, technology, and developments optimizing R&D
organizations, and shortening time to market.
 Enterprise Social Networks don’t work: Self-declared expertise in user profiles of Enterprise
Social Network is too often out of date, incomplete or exaggerated
 How?
 Finding the true experts requires looking at their work:
 Analyzing publications, project reports, patent filings, HR data and schedules, Enterprise Social
Media content, emails, etc.
 This analysis requires Natural Language Processing (NLP) capacities to “understand” what topics
people have written about.
Implicit Social Networks:
Why Big Data?
 Analyze up to 500 M documents
in different languages





Research and project reports
Patents
Articles in specialized journals
Emails
Etc.
 Go though Internal and external
databases
 Etc.
Automatically link Skills to People
-> Expert discovery in Pharma
Drugs
Genes
Brands
Index of tens of thousands of
People With Skills
= Experts
Diseases
MOA
Hundreds of millions of internal and
external documents
With Skills
Expert Discovery in Manufacturing
Components
Master Data
Competitor
Products
Index of tens of thousands of
People With Skills
= Experts
Supply Chain
Tools
Hundreds of millions of internal and
external documents
With Skills
Expert Discovery in Finance
Loans
Credit Cards
Central Bank
Index of tens of thousands of
People With Skills
= Experts
Credit Risk
Real Estate
Hundreds of millions of internal and
external documents
With Skills
Now for the Beef
 360° Customer View
 Call Center: 60 M€ / year
 Customer facing agents and managers in branch offices:
>11,6 M€ in year 2; >13 M€ in year 3
 Revealing Implicit Social Networks
 Siemens: “one successful Search can save tens and even
hundreds of thousands of Euros”
 Atos: “The benefit is ‘beyond ROI’ – we can’t do without it.”
 AstraZeneca: “Ask Nick” (Nick Brown)
How do you get at the beef?
A unique positioning in the Big Data ecosystem
REAL TIME
Big Data
Search
Analytics
— Unlike Hadoop
— High Performance,
— Extreme Scalability
—
—
—
—
Search, Discovery & Visualize
Structured and unstructured data
120 Connectors
Unlike NOSQL
— Deep content analytics
— Unique Semantic & Natural Language
— Processing Engine
Sinequa - More Beef and more Fun
REAL TIME
AND
Big Data
AND
Sinequa - the AND Company
Search
AND
Analytics
AND
More fun to work with
Sinequa - the AND Company
All the ANDs are necessary!
Don’t buy a comb with missing teeth
MERCI
Hans-Josef Jeanrond
VP Marketing, Sinequa