Sanofi mongodb-world-20140625-final

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Sanofi MongoDB World 2014 Presentation

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Sanofi mongodb-world-20140625-final

  1. 1. Sanofi big data approach for translational medicine MongoDB World 2014 New York June 23-25, 2014 1
  2. 2. Agenda ● Sanofi a Pharma Company ● Translational Medicine Concept ● Sanofi Architecture View ● Why MongoDB? ● Use Cases: Overview and Deep Dive ● Benefits, Lessons Learned & Next Steps 2
  3. 3. Information of December 31st 2013 SANOFI GROUP ●We are a global healthcare company engaged in the research, development, manufacturing and marketing of healthcare solutions. present in more than 100 countries more than 110 000 employees A comprehensive offer of pharmaceuticals, vaccines and innovative therapeutic solutions 112 Industrial sites in 41 countries R&D A major biopharmacy player • 45% of revenues generated by biologics • 80% of development projects are biologics €33 bn* In sales in 2013 * €32,951 M Sanofi: A Big Pharma Company
  4. 4. Sanofi R&D (1) Investor Relations Annual Results Meeting dated April 29th, 2014, excluding Merial R&D (2) Source : Document de Référence 2013. (3) Source : Document de Référence 2013. Includes all R&D positions within the Group (Affiliates, Industrial Affairs, etc) Billions invested in R&D in 2013(2) 4,7 € worldwide(2) 20 sites More than Clinical Study Units in 40 countries Molecules and vaccines in the R&D portfolio 50 Including 12 in late stage(1) Employees worldwide contributing to the research and development of innovative health solutions(3) 16 500 Approximately 4
  5. 5. Introduce ourselves Global Solution Leader at Sanofi-Aventis R&D • Translational Medicine Platform. • Sanofi Representative in the eTRIKS Project Manager at Sanofi-Aventis R&D • Early research Enterprise Data Warehouse • Big data project for Translational Medicine Platform Scrum Master, Technical leader at Apside • Deep pharma experience (Servier, Fabre, Sanofi) • Advanced agile expert 5 david.peyruc@sanofi.com erwan.david@sanofi.com florian.chuit@sanofi.com
  6. 6. Pharma Company Mutation From curative to preventive medicine ● Main challenges for Pharmas ● Competition by generic, ● Leak of innovation, ● End of the blockbuster age, ● New paradigm: 4 P’s concept & translational medicine ● Personalized, ● Predictive, ● Preventive, ● Participatory 6
  7. 7. ResearchKnowledge OMICS data Hypotheses Clinical Trials EHRs CROs Evidence ● Personalized ● Efficient clinical trials ● One stop shop for TM data & knowledge ● New capabilities for OMICS data Translational Medicine Concept Bridge Clinical & Research 7
  8. 8. New challenges raised by TM ● High diversity of objects ● Consistency & traceability ● Extract knowledge, gain understanding 8
  9. 9. Research Molecular Profiling Clinical Analysis Big Data TM Data-Hubs Biomarker- Research Target validation Interpretation Biomarker Epidemiology Extraction Curation Normalization Loading Coordination & Collaboration TM Data Mgmt Layer A C B D 011001101 BIOMARKER MongoDB as a central repository to enhance biomarker research Sanofi Architecture View Schematic Overview 9
  10. 10. Why MongoDB? ScalableAdapted to file & metadata Easy To install To use To understand and to adopt  10
  11. 11. How we moved to mongoDB? White paper on Big data Install, benchmark PoC 1st Release in PROD Q42013Q12013 Wow 11
  12. 12. GridFS fs.file/fs.chunk Logs, tools… User profile Config Metadata Service layer (REST API) Third party software Web site Desktop integration MongoDB Use Cases General architecture 12
  13. 13. MongoDB Use Cases Annotation 13
  14. 14. MongoDB Use Cases Annotation 14
  15. 15. ● Geographic zone / Health activity MongoDB Use Cases 360° Data Explorer AND 7 docs AND 16 docs Same Data, exposed in different organization  Facetted Navigation ● Disease or Syndrome / Receptor 15
  16. 16. Lessons Learned & Challenges ● Link together the hybrid landscape ● Keep in sync MongoDB an the Solr index 16 ● IT/infrastructure department needs supports ● MongoDB is not yet a standard in Sanofi ● But Convincing managers/architects is easy • PoC can be set up very easily and show immediate benefits • The fast growing community/clients help a lot
  17. 17. Next Steps ● Curation process ● Improve curation by integrating open refine ● Collaboration ● Set up security at the smallest data piece (‘cell level security’) ● Scale up ● Deploy to more department and geographic area ● Transition mongoDB support to infrastructure teams ● To be finalized 17
  18. 18. Benefits ● Scientists: ● Time gain in tagging and curation ● Awareness of existing data ● Explore data ● Integration of external data 18 ● IT: ● Time of development (agility) & implementation ● Flexibility ● Performance ● Documentation, support, training, MOOC
  19. 19. Thanks mongo! Thank you ! david.peyruc@sanofi.comerwan.david@sanofi.com www.linkedin.com/in/daviderwan www.linkedin.com/in/davidpeyruc Any question ? @DPeyruc@bob_dit_l_ane
  20. 20. Draft Agenda ● Challenges & business case (2 slides), the sanofi TM4P platform (2 slides): how sanofi can be more innovative ● General idea (2 slides): research data hub : transform the way it’s done today ● Implementation ● MongoDB as a central store (metadata, gridFS: 2 – 3 slides) ● Ecosystem: solR integration (1 slide), DML (1 slide) ● (Business track not too technical) system data flow ● Demo by screenshots ? (3 slides) ● Challenges: set up an hybrid solution (solR/xxx ) ● User testimony benefits (time, data quality & understanding) ● IT testimony: reduce the development time/agile ● deployment plan ● Next step/perspectives (2 slides) 20
  21. 21. New challenges raised by TM 21
  22. 22. 22
  23. 23. 23
  24. 24. 24
  25. 25. DML • STORE • ORGANISE • COLLABORATE • LINK DATA • VISUALIZE • ANALYSE 25

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