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©2014 IDBS
© 2014 ID Business Solutions. All Rights Reserved
Transforming R&D
Dr Paul Denny-Gouldson
VP Strategic Solution...
©2014 IDBS
2
©2014 IDBS
Game of two halves
 Common business drivers,
observations, challenges and
approaches we see
 Case studies and...
©2014 IDBS©2014 IDBS
Key business drivers exist in R&D…
Accelerated innovation
Products to market faster
Improved margins
©2014 IDBS©2014 IDBS
What can help
Link data to data
Link data to people
Link people to people
1010 0101
©2014 IDBS
What delivers against the drivers
 Searchable & actionable
knowledge base
 Increased data security & IP
prote...
©2014 IDBS©2014 IDBS
Cumulative Survival Rates
© Nestlé Feb 2013 (Taken from ‘Knowledge Based Capital in a Company’, Stefa...
©2014 IDBS©2014 IDBS
Change is at the foundation of these principals 8
An R&D Data Value Chain
 Knowledge of what has gon...
©2014 IDBS
Solid Data Foundations
©2014 IDBS©2014 IDBS
But what is “collaboration”
R&D and what drives it?
©2014 IDBS
Utopian view
©2014 IDBS
R&D (change!) Challenges
Security
Normalisation
Networks
Context
Ease of Use
Language
Ontologies Semantics
Qual...
©2014 IDBS
Inside-outside outside-inside
“Collaboration is not just about outside the fire wall”
13
©2014 IDBS
But when it is outside
 The work practices of scientists are changing
“Our scientists expect to have access to...
©2014 IDBS©2014 IDBS
Some of the essentials of change 15
An defined set rules that allows flexibility
 Can not restrict e...
©2014 IDBS
User Expectations are changing
©2014 IDBS
Web web web
 Conduit for collaboration
 Remote and mobile access
 OS independence
 Social networking + tagg...
©2014 IDBS
Big data – Small data
 Big data gives you
ability to look for new
stuff
 But when you find it
you have to dis...
©2014 IDBS©2014 IDBS
19
Technical aspects that help
 SAAS and hosted environments
• Hosted and managed service platforms ...
©2014 IDBS
Collaboration Models we have seen
 Collaborations come in many
flavours both domain centric
and business centr...
©2014 IDBS
Intra organisation, domain centric,
collaborations we have seen
©2014 IDBS
Pre Clinical Development
Process
Chemistry &
Isotope
Production
Formulation
(GLP)
Analytical &
Stability Testin...
©2014 IDBS
Process Development - Biologics
Analytical Sciences & QC
Cell Line
Development
Cell Culture &
Fermentation
Puri...
©2014 IDBS
External, business centric,
collaborations we have seen
©2014 IDBS
Acquisition – Numerous partners
 On-boarding new employees
easy
 Data loading templates used to
load historic...
©2014 IDBS
Outsourcing – Virtual R&D
 Accessed from Europe and US
 All hardware needs fully externalized
 Faster turn a...
©2014 IDBS
GSTT
Members
South London
Members
KCL
Members
Research
Sources
Clinical
Sources
Guy’s and St.
Thomas’ NHS
Resea...
©2014 IDBS
A proven approach to change
©2014 IDBS©2014 IDBS
Low to higher risk & costs / ROI minutes to years
Approach – options to support a journey
Simple data...
©2014 IDBS©2014 IDBS
Low to higher risk & costs / ROI minutes to years
Gartner Pace model
Simple data modeling
Capturing u...
©2014 IDBS©2014 IDBS
VISION – evolved over time
Flexible, ambitious vision
Large scale project
Increased data quality
Redu...
©2014 IDBS
This really does sum it up nicely
©2014 IDBS©2014 IDBS
VISION – full process integration & alignment
Two stage, ambitious vision
Large scale project across ...
©2014 IDBS©2014 IDBS
VISION – notebook replacement & sample management
Medium scale project >200 users (EU)
Data security ...
©2014 IDBS©2014 IDBS
Key business drivers exist in
R&D…
Accelerated innovation
Products to market faster
Improved margins
©2014 IDBS©2014 IDBS
ENGINEERING ENERGY FOOD &
BEVERAGE
CHEMICALS AGRICULTURAL
SCIENCES
CONSUMER
GOODS
PHARMA &
BIOTECH
HE...
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Webinar 'Could you transform the way you do R&D in just 5 years?' - May 2014

Webinar presented by Dr Paul Denny-Gouldson,Vice President Solution Strategy, IDBS, on May 28, 2014

How you manage, deploy and purchase systems is set to change dramatically. Where do you stand?

It is estimated that more than 70% of software systems will be SaaS based or hosted – or both – within five years. While this has already and will continue to result in radical change, the potential benefits to your business drivers and strategic imperatives, such as internal and external collaboration, are undeniable.

Collaboration is increasingly becoming the mainstay of how organizations conduct their Research and Development (R&D). However, by its very nature, collaboration is a dynamic and can often be an unpredictable process.

To be beneficial, the IT and infrastructure that support your R&D collaborations must be equally dynamic and – above all – be simple to deliver to the network of collaborators as they are likely distributed around the globe and span multiple industry types from commercial to not-for-profit and academia.

The dramatic shift towards web-based deployment models for software seems set to continue. But they can only succeed if the software is simple, intuitive and requires little or no training for all types of users.

Electronic Laboratory Notebooks (ELNs) have a strong history and track record in delivering measurable business benefits in R&D collaborations, and now with changes in technologies, are even easier to deploy. Discover how the IDBS web-based ELN, E‑WorkBook Web, can deliver the right R&D collaboration solution for you.

This webinar is designed for those with an interest in improving collaboration, efficiency, and productivity in R&D and manufacturing across pharmaceuticals, biotechnology, chemicals, energy, engineering, food and beverage, and consumer goods.

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Webinar 'Could you transform the way you do R&D in just 5 years?' - May 2014

  1. 1. ©2014 IDBS © 2014 ID Business Solutions. All Rights Reserved Transforming R&D Dr Paul Denny-Gouldson VP Strategic Solutions, IDBS
  2. 2. ©2014 IDBS 2
  3. 3. ©2014 IDBS Game of two halves  Common business drivers, observations, challenges and approaches we see  Case studies and examples of what we have done and our approach 3
  4. 4. ©2014 IDBS©2014 IDBS Key business drivers exist in R&D… Accelerated innovation Products to market faster Improved margins
  5. 5. ©2014 IDBS©2014 IDBS What can help Link data to data Link data to people Link people to people 1010 0101
  6. 6. ©2014 IDBS What delivers against the drivers  Searchable & actionable knowledge base  Increased data security & IP protection / utilisation  Collaboration and Reporting platforms 6
  7. 7. ©2014 IDBS©2014 IDBS Cumulative Survival Rates © Nestlé Feb 2013 (Taken from ‘Knowledge Based Capital in a Company’, Stefan Dobrev)
  8. 8. ©2014 IDBS©2014 IDBS Change is at the foundation of these principals 8 An R&D Data Value Chain  Knowledge of what has gone before is very helpful in making decisions about where to go  Treat “collaboration” as a requirement but do not differentiate outside and inside  There are issues with the outside elements and the inside elements !
  9. 9. ©2014 IDBS Solid Data Foundations
  10. 10. ©2014 IDBS©2014 IDBS But what is “collaboration” R&D and what drives it?
  11. 11. ©2014 IDBS Utopian view
  12. 12. ©2014 IDBS R&D (change!) Challenges Security Normalisation Networks Context Ease of Use Language Ontologies Semantics Quality Storage Domain Resilience Openness Exchange Catalog Performance Users IP Compliance Culture Aggregation Provence Privacy Trust
  13. 13. ©2014 IDBS Inside-outside outside-inside “Collaboration is not just about outside the fire wall” 13
  14. 14. ©2014 IDBS But when it is outside  The work practices of scientists are changing “Our scientists expect to have access to their work and data while off site at a collaborators site” CIO Large Pharma  This brings its own problems wrt security of data and access of systems 14
  15. 15. ©2014 IDBS©2014 IDBS Some of the essentials of change 15 An defined set rules that allows flexibility  Can not restrict everything – it gets in the way of business • Defined rules on data type and “level of security”  Management of security needs to be divested otherwise it gets to complex & big • Centralised security rules and biz object definition & management  Partner engagement process and delivered software tools • Hosted / managed services with rapid scale up and down
  16. 16. ©2014 IDBS User Expectations are changing
  17. 17. ©2014 IDBS Web web web  Conduit for collaboration  Remote and mobile access  OS independence  Social networking + tagging  Links to gadgets But with: Provenance, Context, Fact, Security and (Trust)
  18. 18. ©2014 IDBS Big data – Small data  Big data gives you ability to look for new stuff  But when you find it you have to distil it and put it somewhere
  19. 19. ©2014 IDBS©2014 IDBS 19 Technical aspects that help  SAAS and hosted environments • Hosted and managed service platforms that have integration capabilities  Simple to deploy software that requires ZERO training • Web solutions reduce the complexity of roll out – but there are still gotchas !  Unified security and data model • Standards based security implementation and flexible object model
  20. 20. ©2014 IDBS Collaboration Models we have seen  Collaborations come in many flavours both domain centric and business centric  Often the data management requirements are similar in shape and size data access/security is always key!
  21. 21. ©2014 IDBS Intra organisation, domain centric, collaborations we have seen
  22. 22. ©2014 IDBS Pre Clinical Development Process Chemistry & Isotope Production Formulation (GLP) Analytical & Stability Testing (GLP) BioAnalysis (GLP) Metabolite ID Material Sciences Pharmacology & Safety Pharmacokinetics Drug Metabolism
  23. 23. ©2014 IDBS Process Development - Biologics Analytical Sciences & QC Cell Line Development Cell Culture & Fermentation Purification Formulations & Stability Central Services (Media & Buffer Preparation, Equipment Management)
  24. 24. ©2014 IDBS External, business centric, collaborations we have seen
  25. 25. ©2014 IDBS Acquisition – Numerous partners  On-boarding new employees easy  Data loading templates used to load historical data  Now using the E-WorkBook Suite for the data analysis where Excel was previously used  Considered hierarchy setup & historic documentation gradually added  Enabled software consolidation Principal Product Company CRO Academia Very simple exchange of formatted data !
  26. 26. ©2014 IDBS Outsourcing – Virtual R&D  Accessed from Europe and US  All hardware needs fully externalized  Faster turn around of data than previously seen  Reduced reworking of data -Don’t need to wait for ‘Bob’ to come back from holiday to access the data  Principal business can see everything!  Ability to further analyze data from CROs if needed Principal CRO 1 CRO 2 CMO End-2-end visibility of data and process
  27. 27. ©2014 IDBS GSTT Members South London Members KCL Members Research Sources Clinical Sources Guy’s and St. Thomas’ NHS Research Sources Clinical Sources South London & Maudsley NHS KCH Members Research Sources Clinical Sources Kings College London University Research Source s Clinical Sources King’s College Hospital NHS Research Sources Clinical Sources Thames Cancer Registry (KCL) Facilitator R&D Services Late Stage Dev Services Providers Manufacturing Services Industry Early Dev Service Providers Complex Collaborations  Single cross-organizational Research & Development Knowledge platform  Searchable integrated clinical, diagnostic, pathological, sample, research and genomics data from multiple sources  Highly secure information and procedures to protect data confidentiality  Powerful visualization of research data and an evaluation of data quality Fully hosted and managed collaboration infastructure
  28. 28. ©2014 IDBS A proven approach to change
  29. 29. ©2014 IDBS©2014 IDBS Low to higher risk & costs / ROI minutes to years Approach – options to support a journey Simple data modeling Capturing unstructured data Simple structured data Structured data & process Cross collaboration Enterprise analysis & insight
  30. 30. ©2014 IDBS©2014 IDBS Low to higher risk & costs / ROI minutes to years Gartner Pace model Simple data modeling Capturing unstructured data Simple structured data Structured data & process Cross collaboration Enterprise analysis & insight System of Record Biz Differentiation Biz Transformation
  31. 31. ©2014 IDBS©2014 IDBS VISION – evolved over time Flexible, ambitious vision Large scale project Increased data quality Reduced collation time International process harmonization IP standardization Streamlined reporting Want to do more Lab throughput increased by 50% time to report reduced 5 fold
  32. 32. ©2014 IDBS This really does sum it up nicely
  33. 33. ©2014 IDBS©2014 IDBS VISION – full process integration & alignment Two stage, ambitious vision Large scale project across many groups Process harmonization Real time process reporting Less errors & time looking for them Holistic view of development process Foundations of QBD Duration: 1 year Radical changes in business process and measurably improved compliance
  34. 34. ©2014 IDBS©2014 IDBS VISION – notebook replacement & sample management Medium scale project >200 users (EU) Data security – IP protection Paper removal – time saving Sample management Reduction of repeated experiments Each scientist is saving around >4hrs per week Duration: <6 months for step1 Ongoing for step 2 “Best adopted IT system in the company’s history” - Library Services
  35. 35. ©2014 IDBS©2014 IDBS Key business drivers exist in R&D… Accelerated innovation Products to market faster Improved margins
  36. 36. ©2014 IDBS©2014 IDBS ENGINEERING ENERGY FOOD & BEVERAGE CHEMICALS AGRICULTURAL SCIENCES CONSUMER GOODS PHARMA & BIOTECH HEALTHCARE Research Development Research Development Research Development Research Development Research Development Research Development Research Development Research Development JCI John Deere Sealy Total Cargill Danone Driscoll Foods BASF DuPont Bayer Syngenta L’Oréal Pfizer Daiichi Sankyo Genentech GSK Pfizer Barts Jewish General Biological sciences Translational sciences Pharmacology & preclinical sciences High volume testing Chemical sciences Analytical sciences Data & financial modeling IDBS is a leader in the field

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