Presentation given by Nick Brown (AstraZeneca) on 8th October 2013 at the Search Solutions 2013 conference.

1. Rapid Delivery Of Business Intelligence
Applications Through R&D Search Experience
Search Solutions 2013
Tuesday October 8th
Nick Brown, Susan Donohoe, Rob Hernandez, Youssef
Belghali, Nasko Radev, Steve Woodward & Akshay Tankhiwale

2. AstraZeneca
Health Connect Us All
AstraZeneca is a biopharmaceutical company with Research and Development at
its core. Our business is providing innovative, effective medicines that make a real
difference to patients. We focus on six important areas of healthcare.
In R&D, we invest over $4 billion every year and with over 15,000 professionals
in 8 countries, on 3 continents, accessing and leveraging information is key.

3. Distributed R&D
Leads to Information Silos
Photo Credit: http://cdn-wac.emirates247.com/polopoly_fs/1.509718.1370831315!/image/256556252.jpg

4. Existing Semantic
Search Architecture
5. Business
Applications
4. Insight & Analytics
Auto-Tagging
Auto-Class
NLP
Rules Match
2. Ontology
Enrich
Text Mining
Normalization
Entity Extraction
3. Search
Index
Cluster
Publications
Trials
Patents
Conferences
Grants
News
RDF
data
CRM
SharePoint
PKT
LDMS
Yammer
Wiki
File shares
1. ETL
Unstructured External
Oracle
Data Marts
structured Internal
Unstructured Internal

5. Strategic Approach
Technology Stack
1
Connectors to any unstructured and structured sources
2
1
Accurate semantic mark-up with text-mining capabilities
3
1
Intelligent, intuitive search that hides the advanced features
4
1
Generate insight & analytics across information types
5
1
Rapidly deliver mobile business intelligence applications
3 months ago, we licensed Sinequa for our R&D search platform.

6. Advanced Widgets
Built To Be Put Together Easily In Different Ways
Photo Credit: http://media2.ph.88db.com/DB88UploadFiles_med2/2010/05/08/1909CD39-2608-4333-B7D5-16F79E0FA1D4.JPG

7. Virtual Team
Connected By Passion
To build our applications rapidly, we supplement our team with external experts,
including running competitions on open innovation platform like TopCoder.

8. External Data Sources
Easily Connected
25M
80M
Publications
60M
Patents
Clinical Trial Registries
Grants
Conferences
In R&D, we have over 200 million documents in publications, patents and
conference abstracts. Having a historical perspective can help when designing
business intelligence applications like breaking science or target selection

9. Internal Data Sources
Security & Access Control
Department
Fileshares
R&D Wiki
The richest, most valuable content is our internal data sources. Our systems
adheres to our security controls – you only find what you have access to…

10. R&D Search
Screenshot
We automatically search other synonyms like
Vandetanib and internal identifiers such as ZD6474
Top hits are now key relevant scientific documents
R&D vocabs are dispayed, from brand, disease,
scientists & mechanisms such as EGFR and VEGFR
R&D Search can handle a number of languages

11. R&D Vocabularies
Screenshot
Focused on vocabularies that are important to scientists :Drugs
People
Cell types
Diseases
Companies
Technology
Genes
Organisms
Skills
MicroRNA
Cell-lines
Safety Mechanisms
Developed new approaches within Sinequa to allow easy vocabulary curation. -Tagging scores allow us to identify documents with no tags or too many tags
Hiearchical synonym trees help to rapidly identify problem terms like ‘when’
Individual documents display number of synonym occurrences.

12. R&D Department
Screenshot
Teams can search across this rich internal content and find not just relevant
documents but also other drugs, mechanisms and even people to help.

13. R&D Journal
Screenshot
Developed to look like an external scientific journal,
R&D Journal provides a mechanism within
AstraZeneca where our scientists can publish articles
and experimental reports that can be shared and
pushed out to other members of the department
Other users can add ratings and comments, as well as
sign up for alerts and search across this content

14. R&D Labs
Mobile Access To Apps
Currently piloting Amazon web-services with Ping Federate (authentication) and Data
Power (access), to enabled mobile applications to query against our search index:
drug repositioning
conference capture
life cycle management
breaking science
external KOL identification
chemical search

15. R&D Experts
Find & Connect within AZ & MedImmune
Experts allows R&D to find and connect to the
key experts on any scientific topic.






Minimise duplication
Increase cross R&D collaboration
Automatically updated
Recommend new contacts
Curate & advertise yourself
Social network analysis & visual
connectivity

16. Next Steps
More R&D Indexing
Photo credit: http://chamorrobible.org/images/photos/gpw-200904-NASA-ISS016-E-37922-The-World-Dubai-United-Arab-Emirates-20080403-large.jpg

17. Next Steps
More Business Applications
Deliver applications that use analytics across the entire document index such as
drug repositioning and external KOL identification, made mobile.

18. Next Steps
More Search Widgets
Further collaborate with Sinequa to implement other features around
visualisation, feedback & commenting and new search relevancy algorithms

19. Thank You
Acknowledgements & Questions
Delivering this in the past 12 weeks wouldn’t have been possible without an
enormous amount of support from many people, not all listed here today.
Sinequa: Christian Sestier, Tim Bell, Xavier Pornain, Ariane Cavet, Frédéric
Lardé, Olivier Gaunet & Alex Bilger
Pebble Code: John Mildinhall, Tak Tran, Mark Durrant & Toby Hunt
AstraZeneca: Youssef Belghali, Tim McCoy, David Rafferty, Nick Barlow, Tania
Hide, Lisa Taylor, Hari Radhakrishnan, Adel Kassim & Pete Dudek.
Finally many thanks to Sebastian Lefebvre, Jason Swift & Paul Fitzpatrick for
sponsoring and helping us to get this project launched.