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Adaptive Data Convergence for Life Sciences
Manish Sood | CEO & Founder, Reltio, manish@reltio.com
© 2012-2013 Reltio
Summary – Adaptive Data Convergence for Life Sciences
Discussion	
  today	
  
!   How	
  Rel(o	
  provides	
  SaaS	
  apps	
  for	
  Life	
  
Science	
  companies	
  for:	
  
!   Sales	
  
!   Marke(ng	
  
!   Compliance	
  
Key	
  Elements	
  
! Mul(-­‐Tenant	
  
! Mul(-­‐Source	
  	
  
! Mul(-­‐Channel	
  
! Highly	
  available,	
  zero-­‐down(me	
  
! Low	
  Cost	
  
! Business	
  User	
  experience	
  focused	
  	
  
Key	
  Technologies	
  
*  C*	
  with	
  a	
  graph	
  datamodel	
  	
  
*  Elas(cSearch	
  
*  Hadoop	
  
What	
  does	
  Rel7o	
  do?	
  
!   Applica(ons	
  that	
  run	
  on	
  Convergence	
  of	
  
Internal,	
  3rd	
  Party	
  and	
  Social	
  data	
  
!   Public	
  (SaaS)	
  and	
  Private	
  Cloud	
  deployments	
  
!   Ver(cals	
  -­‐	
  Life	
  Sciences	
  &	
  Financial	
  Services	
  
#Cassandra13, @Reltio, @msoodx 2Empowering Perspectives
© 2012-2013 Reltio
!   Decision making is moving from Prescribers to
large Organizations
!   Hospital sector is concentrating and buying groups,
as well as hospital chains, are emerging
!   Payers now have explicit negotiation relationships
with the pharma industry
!   Online pharmacies are capturing increasing market
share and are becoming major customers for
pharma companies for OTC (over the counter)
drugs
Changing Business Model for Life Sciences
#Cassandra13, @Reltio, @msoodx 3Empowering Perspectives
© 2012-2013 Reltio 4
Customers for Pharma companies – a complicated view
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
© 2012-2013 Reltio
For every Life Sciences company
data comes from multiple
sources:
!   Enterprise sources –12 or
more
!   3rd Party data sources – 12 or
more that include:
!   Reference data
!   Prescription sales
!   Claims processing
!   Referral data
!   Spend data
!   Social media sources –
includes specialty networks
Common considerations
5Empowering Perspectives #Cassandra13, @Reltio, @msoodx
© 2012-2013 Reltio
!   Measure – account profitability, price leakage, and
commercial terms
!   Identify – key accounts and the right level of
investment
!   Tailor – pricing and tactics, contract options, and
offerings for the account
!   Align the team – by determining the optimal size
and setup of your Account team
!   Adjust incentives – to foster entrepreneurial
behavior
Data driven Business
6Empowering Perspectives #Cassandra13, @Reltio, @msoodx
© 2012-2013 Reltio 7
Organizing Relationship data
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
Client	
  
Key	
  Connector	
  
Low-­‐Influence	
  Client	
  
Sphere	
  of	
  Influence	
  
Connec(on	
  path	
  
Improve	
  rela(onship	
  strength	
  
	
  	
  	
  	
  	
  	
  	
  	
  
Clustering	
  by	
  Affinity	
  
High-­‐Influence	
  Client	
  
En(ty	
  to	
  En(ty	
  rela(onships	
  
Structured	
  Trees	
  and	
  
Hierarchies	
  
Scale	
  free	
  informa(on	
  maps	
  
© 2012-2013 Reltio 8
Deriving value from Complex Relationships
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
H	
  
L	
  
L	
   H	
  
Degree	
  of	
  Complexity	
  
•  Degree	
  of	
  prescrip(on	
  control	
  for	
  selected	
  drug	
  class	
  
•  Number	
  of	
  special(es	
  in	
  the	
  hospital	
  
Account	
  Opportunity	
  
•  Prescrip(on	
  volume	
  
•  Influence	
  on	
  other	
  
prescribers	
  
•  Current	
  share	
  
Large	
  mul(-­‐specialty	
  
hospital/chains	
  with	
  
high	
  control	
  
Large	
  hospital	
  with	
  
low	
  control;	
  
significant	
  prescribing	
  
freedom	
  
Small	
  single-­‐specialty	
  
hospital	
  where	
  
physicians	
  influence	
  
decisions	
  
Segmenta(on	
  scheme	
  for	
  Key	
  Accounts	
  	
  
© 2012-2013 Reltio 9
Other areas – Clinical Trial Patient and Investigator requirement
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
Data	
  from	
  mul(ple	
  sources	
  for:	
  
•  Claims	
  
•  Pa(ents	
  
•  Diagnoses	
  Referrals	
  	
  
•  Health	
  care	
  providers	
  (HCPs)	
  referring	
  to	
  HCPs	
  
© 2012-2013 Reltio
The Setup
!   Star schema
!   Aggregate tables
!   Query caching &
manipulation
!   Support for MDM (master
data management)
concepts such as matching,
merging and crosswalk
maintenance
The Results
!   Modeling adhoc dimensional
relationships
!   complex
!   Support for MDM concepts
!   limitations with performance
& scale
!   Hierarchical rollups and
aggregations
!   slow
!   Multi-source fact data from
disparate sources
!   needs a separate table for
every disparate source
10
What we tried
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
© 2012-2013 Reltio
Groups	
  
11
Reltio meta-model using C*
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
En((es	
  
En((es	
  
En((es	
  
En((es	
  
En((es	
  
En((es	
  
En((es	
  
En((es	
  
Transac(ons	
  Transac(ons	
  Transac(ons	
  Transac(ons	
  
Groups	
  
Groups	
  
Hierarchies	
  
Addi(onal	
  suppor(ng	
  ar(facts	
  built	
  into	
  the	
  model:	
  
•  Concepts	
  (en((es	
  or	
  rela(onships)	
  can	
  have	
  have	
  
unlimited	
  aributes	
  
•  En(ty	
  Matching	
  &	
  Crosswalks	
  	
  maintenance	
  
•  Dimensional	
  rollups	
  &	
  aggrega(ons	
  
•  Change	
  History	
  
•  Audit	
  and	
  Lineage	
  
Rela(onships	
  
© 2012-2013 Reltio 12
Scaling Reltio
Empowering Perspectives #Cassandra13, @Reltio, @msoodx
Auto scaling Group
Auto scaling Group
Auto scaling Group
Auto scaling Group
Reltio UI HA Files Storage
or
SAN for documents and
image storage
Reltio API
Real-­‐(me	
  Index	
  
Shard
Replic
a
Users
Colocation optional
Cassandra	
  	
  
(Real-­‐(me	
  
Datastore)	
  
Real-time
Cassandra
Hadoop
*  Reltio Convergence Hub - enables Data Convergence apps with
MDM (master data management) at it’s core
*  for use by Customers, Data Partners and ISVs
*  SaaS & Private cloud deployments for real-time and highly available
data management
Reltio - summary
Thank you
Manish Sood | CEO & Founder, Reltio, manish@reltio.com

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C* Summit 2013: Adaptive Data Convergence for Life Sciences by Manish Sood

  • 1. Adaptive Data Convergence for Life Sciences Manish Sood | CEO & Founder, Reltio, manish@reltio.com
  • 2. © 2012-2013 Reltio Summary – Adaptive Data Convergence for Life Sciences Discussion  today   !   How  Rel(o  provides  SaaS  apps  for  Life   Science  companies  for:   !   Sales   !   Marke(ng   !   Compliance   Key  Elements   ! Mul(-­‐Tenant   ! Mul(-­‐Source     ! Mul(-­‐Channel   ! Highly  available,  zero-­‐down(me   ! Low  Cost   ! Business  User  experience  focused     Key  Technologies   *  C*  with  a  graph  datamodel     *  Elas(cSearch   *  Hadoop   What  does  Rel7o  do?   !   Applica(ons  that  run  on  Convergence  of   Internal,  3rd  Party  and  Social  data   !   Public  (SaaS)  and  Private  Cloud  deployments   !   Ver(cals  -­‐  Life  Sciences  &  Financial  Services   #Cassandra13, @Reltio, @msoodx 2Empowering Perspectives
  • 3. © 2012-2013 Reltio !   Decision making is moving from Prescribers to large Organizations !   Hospital sector is concentrating and buying groups, as well as hospital chains, are emerging !   Payers now have explicit negotiation relationships with the pharma industry !   Online pharmacies are capturing increasing market share and are becoming major customers for pharma companies for OTC (over the counter) drugs Changing Business Model for Life Sciences #Cassandra13, @Reltio, @msoodx 3Empowering Perspectives
  • 4. © 2012-2013 Reltio 4 Customers for Pharma companies – a complicated view Empowering Perspectives #Cassandra13, @Reltio, @msoodx
  • 5. © 2012-2013 Reltio For every Life Sciences company data comes from multiple sources: !   Enterprise sources –12 or more !   3rd Party data sources – 12 or more that include: !   Reference data !   Prescription sales !   Claims processing !   Referral data !   Spend data !   Social media sources – includes specialty networks Common considerations 5Empowering Perspectives #Cassandra13, @Reltio, @msoodx
  • 6. © 2012-2013 Reltio !   Measure – account profitability, price leakage, and commercial terms !   Identify – key accounts and the right level of investment !   Tailor – pricing and tactics, contract options, and offerings for the account !   Align the team – by determining the optimal size and setup of your Account team !   Adjust incentives – to foster entrepreneurial behavior Data driven Business 6Empowering Perspectives #Cassandra13, @Reltio, @msoodx
  • 7. © 2012-2013 Reltio 7 Organizing Relationship data Empowering Perspectives #Cassandra13, @Reltio, @msoodx Client   Key  Connector   Low-­‐Influence  Client   Sphere  of  Influence   Connec(on  path   Improve  rela(onship  strength                   Clustering  by  Affinity   High-­‐Influence  Client   En(ty  to  En(ty  rela(onships   Structured  Trees  and   Hierarchies   Scale  free  informa(on  maps  
  • 8. © 2012-2013 Reltio 8 Deriving value from Complex Relationships Empowering Perspectives #Cassandra13, @Reltio, @msoodx H   L   L   H   Degree  of  Complexity   •  Degree  of  prescrip(on  control  for  selected  drug  class   •  Number  of  special(es  in  the  hospital   Account  Opportunity   •  Prescrip(on  volume   •  Influence  on  other   prescribers   •  Current  share   Large  mul(-­‐specialty   hospital/chains  with   high  control   Large  hospital  with   low  control;   significant  prescribing   freedom   Small  single-­‐specialty   hospital  where   physicians  influence   decisions   Segmenta(on  scheme  for  Key  Accounts    
  • 9. © 2012-2013 Reltio 9 Other areas – Clinical Trial Patient and Investigator requirement Empowering Perspectives #Cassandra13, @Reltio, @msoodx Data  from  mul(ple  sources  for:   •  Claims   •  Pa(ents   •  Diagnoses  Referrals     •  Health  care  providers  (HCPs)  referring  to  HCPs  
  • 10. © 2012-2013 Reltio The Setup !   Star schema !   Aggregate tables !   Query caching & manipulation !   Support for MDM (master data management) concepts such as matching, merging and crosswalk maintenance The Results !   Modeling adhoc dimensional relationships !   complex !   Support for MDM concepts !   limitations with performance & scale !   Hierarchical rollups and aggregations !   slow !   Multi-source fact data from disparate sources !   needs a separate table for every disparate source 10 What we tried Empowering Perspectives #Cassandra13, @Reltio, @msoodx
  • 11. © 2012-2013 Reltio Groups   11 Reltio meta-model using C* Empowering Perspectives #Cassandra13, @Reltio, @msoodx En((es   En((es   En((es   En((es   En((es   En((es   En((es   En((es   Transac(ons  Transac(ons  Transac(ons  Transac(ons   Groups   Groups   Hierarchies   Addi(onal  suppor(ng  ar(facts  built  into  the  model:   •  Concepts  (en((es  or  rela(onships)  can  have  have   unlimited  aributes   •  En(ty  Matching  &  Crosswalks    maintenance   •  Dimensional  rollups  &  aggrega(ons   •  Change  History   •  Audit  and  Lineage   Rela(onships  
  • 12. © 2012-2013 Reltio 12 Scaling Reltio Empowering Perspectives #Cassandra13, @Reltio, @msoodx Auto scaling Group Auto scaling Group Auto scaling Group Auto scaling Group Reltio UI HA Files Storage or SAN for documents and image storage Reltio API Real-­‐(me  Index   Shard Replic a Users Colocation optional Cassandra     (Real-­‐(me   Datastore)   Real-time Cassandra Hadoop
  • 13. *  Reltio Convergence Hub - enables Data Convergence apps with MDM (master data management) at it’s core *  for use by Customers, Data Partners and ISVs *  SaaS & Private cloud deployments for real-time and highly available data management Reltio - summary
  • 14. Thank you Manish Sood | CEO & Founder, Reltio, manish@reltio.com