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  

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© 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

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© 2012-2013 Reltio 4

Customers for Pharma companies – a complicated view

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© 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

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© 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

6 Empowering Perspectives #Cassandra13, @Reltio, @msoodx

© 2012-2013 Reltio 7

Organizing Relationship data

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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

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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

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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

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© 2012-2013 Reltio

Groups  

11

Reltio meta-model using C*

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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  a\ributes  •  En(ty  Matching  &  Crosswalks    maintenance  •  Dimensional  rollups  &  aggrega(ons  •  Change  History  •  Audit  and  Lineage  

Rela(onships  

© 2012-2013 Reltio 12

Scaling Reltio

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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

Replica

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