Post on 27-Jul-2020
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AstraZeneca Biogen Idec Siemens Airbus Atos
Finding People and Information in a Large R&D Organization
200 Million Documents produced 40% Internal - 60% External
10,000 People in R&D
SBA
Enterprise Big Data Explorer
360 views Inverted Social Network
Logical Data Warehouse
SINEQUA ES V9 R
EAL
TIM
E B
IG D
ATA
SEA
RC
H &
A
NA
LYTI
CS
PLA
TFO
RM
Sinequa Analytics
Engine Statistical Analysis Semantic Extractors
Natural Language Processing
Databases Archives Applications
BI PLM Transactions
Emails ECM
File Systems Social
Networks Website/Blogs
Collaborative Portals 140+
Connectors
Drugs
Diseases Genes
Brands MOA
200 Million Documents With Business and Work
related Entities identified
Link Skills to People -> Expertise Discovery
10,000 People indexed with Skills
Automated linkage with
People
= Expertise Discovery
Find Similar People depending on Skills
Weight Skills (+ or -)
Analytics view of a Query on “Arteriosclerosis”
Top 20 people identified in
relevant documents
Visualization of skills associated to
the question
Visualization of drugs development documents associated to the query
Visualization of drugs available and associated to
the query
Sort document per date of publication
Sort document per format
Sort by source and corporate taxonomy
Business benefits
Improve R&D workforce efficiency
Build the right team at the right moment Avoid multiple teams working on similar project Avoid working on a topic that already failed before
Reduce drug development cycles
Other Search Based Applications (SBA)
Create internal journals of science to share internal results and snippets
Search by chemical structure to find similar structures in documents (internal & external)
Access to breaking science, with alerts and spotting trends across all scientific information
More to come…
European telco company French Bank French Insurance And others
Customer Landscape
50 million customers
Volume and Variety
Up to 10 000 call center agents connected simultaneously
Up to 250 000 calls per day
Over 30 applications with customer information
4 to 15 applications to be opened per call
Billions of records per year (billing, calls, call report, etc.)
Pain points
Training of agents is heavy : 4 to 6 weeks per person
Calls duration is too long
CRM ERP DBs MAINFRAME BUSINESS APPLICATIONS
Functional Architecture
> 10 Billion records > 10 Millions queries/day
Webservices (SOA)
WebApp server: 1 + 1 Engine Servers : 4 + 4 Connectors Server & Indexer : 1 + 1
Real Time
INFORMATION
Web Services
Web Client RIA (HTML 5)
10 000 Call center agent 2 500 Telesales
Get an instant 360° view of the customer
Saving 45 seconds per call
60M€ over 3 years
Simple interface leads to faster training
50% turnover per year, 4500 new employees
14 weeks to 1 week
18M to 2,6M. 15M€/year saving on training cost!
Business Benefits
↗ Operational Efficiency for call center agents
↗ Best quality perceived / Client Satisfaction
Key success factors
Take unstructured data into account
Enrich internal data with external data
Leverage the natural langage processing (NLP) power
Complex prototype (POC) is key
Large volume of data
Multiple internal and external sources of data
Choose the right integrator
Business knowledge
Expertise in both software and infrastructure
| 10-03-2015 | Daniel Le-Coguic| © For internal use GBU France | BDS | France & IMEA
| 10-03-2015 | Daniel Le-Coguic| © For internal use GBU France | BDS | France & IMEA
Enterprise search at Atos
Growth by acquisition 1 single search engine
Poc livelink Non structured applications
« Find the expert »
Information silos
Multiple tools
Exponential volumes
Transform globalize
Complex it landscape
100.000 USERS
(Un) structured
& semantic
Exponential volumes
Lower training workload
1 way to index
Unique interface
All applications
| 10-03-2015 | Daniel Le-Coguic| © For internal use GBU France | BDS | France & IMEA
Atos: a unique end-to-end offering providing secured and superior performance to big data applications
Big Data :
transforming
data into
customer tangible business
value
Consulting Customer
usage
Data modelling
Massive data
Iot Data
Real-time data
Complex analytics
Agile data
In-Memory
Business App integration
IT Platforms & appliances
High Power Computing
Open Compute
Managed services
Saas
Delivery & Operations
Finance Telco & OTT
Retail Healthcare
Energy Aerospace Automotive
Weather Research Medias Defence
…