The document discusses two methods for optimizing data visualization for competitive intelligence analysis of pipeline and clinical trials data: 1) Using BizInt and VantagePoint solutions to combine pipeline, clinical trial, and other data sources and generate customizable reports and visualizations. 2) Developing an in-house tool called VALEM360 to provide a 360-degree view of pancreatic cancer competitive landscape data through multiple interactive visualization dashboards and a treatment decision tree. The VALEM360 tool demonstrated the potential of a data-driven approach but would benefit from improving data quality, automation of updates, and applying the methodology to other disease areas. Overall, data visualization is very useful for competitive intelligence analysis but requires expertise in topic areas,

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The International Conference on Search, Data and Text
Mining and Visualization
Anne Trincot, April 2019
Competitive Intelligence:
How to Optimize Pipeline
and Clinical Trials Data
Analysis?

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Contents
 Introduction
 BizInt and Vantage Point solutions
 VALEM360
 Conclusion

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Contents
 Introduction
 BizInt and Vantage Point solutions
 VALEM360
 Conclusion

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Objectives
Two methods to optimize Data Visualization for Competitive Intelligence:
 Pipeline and Clinical Trials Data Analysis with BizInt and VantagePoint
Solutions
 Global Data Visualizations for a particular Disease: VALEM360 In-
house development

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R&D Preclinical Phase I Phase II
Phase III
Registration
Go to
market
Lifecycle
Management
Drug development journey and data sources

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Pipeline Databases
Coverage Since 1988 NA Since 1980 Since 1995
Users Researchers,
Translational
researcher
R&D, BD&L R&D, marketing,
strategy
R&D, regulatory,
marketing, strategy
Advantages Patent information Deals
Patents
Link with TrialTrove Regulatory
Information
Disadvantage Warning – active
status
Updates No information from
public research
Updates
Dataviz basic yes yes yes

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Clinical Trial Databases or Registries
Coverage US, World Europe World World
Advantages The Oldest and Most
Well-known
Well-known in
Europe
Data from Emergent
countries
More exhaustive
Link with
Pharmaprojects
Tagged data
Disadvantage Not exhaustive Not exhaustive Old Website
Not exhaustive
Not free of charge
Dataviz no no no yes

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Contents
 Introduction
 BizInt and Vantage Point solutions
 VALEM360
 Conclusion

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Data Visualizations offered by our suppliers

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Data Visualization with BizInt and Vantage Point
Tools to improve and hone Data Visualization

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Pipeline information Clinical trial information
Combination
Template
Reports
Competitive Intelligence
Analysis
BizInt
Combination
Template
Reports
Vt Vt
BizInt
Cleaning
Verification

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Update
Pipeline information Clinical trial information
Combination
Old version
Competitive Intelligence
Analysis
New
Data
Combination
Old version
Vt Vt
New
Data

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Summarizing pipeline data
Chart visualization

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Summarizing pipeline data
Bullseye Chart Piano Chart

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Clinical trial visualizations

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Other Data Visualizations
Word Cloud from List Selection Bubble Chart

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 Combination of various sources
 Helpful to Analyse Pipeline and Clinical Development of our
Competitors
 Some limitations:
 Compatibility restriction (for example OncologyPipeline)
 Need expertise and time
 Not usable for Big Data

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Contents
 Introduction
 BizInt and Vantage Point solutions
 VALEM360
 Conclusion

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Context
 Pancreatic cancer is a pathology of interest to many R&D and strategic
departments, but it is a new disease within the company
 The objective is to compile competitive and environmental data on
pancreatic cancer in order to obtain a 360° view of the information
 The project was conducted together with the Digital Factory - IT
Department

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Our investigations
 Centralize the data from different sources and data preparation
 Associate the elements of treatment decision tree to each clinical
trial, their investigated drugs and study centers
 Visualize data via different interactive tools

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“Cancer , Pancreatic & (Phase II)
OR(Phase III)OR(Phase
IV)OR(Phase III/IV)OR(Phase
II/III)OR(Phase I/II)OR(Pre-
registration)OR(Registered)
OR(Launched)OR(Marketed)”
Open Trials
Completed Trials
(completion data > 2016)
Planned Trials
(start data > 2016)
250 Distinct Drugs
1311 clinical trials
Database of 1311 of
clinical trials & 250
drug details
Associate the
elements of treatment
decision tree to each
clinical trial
Web-App Solution
Visualization
Tools
Drug’s dictionary coding
Sources Requests Results Combination Database Visualization
pipeline
Clinical trials

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Treatment Decision Tree for Pancreatic Adeno-
carcinoma: Europe
Line of Therapy or Operation Stage
(Any combination)
Treatment Tree
Position
Adjuvant/ Neoadjuvant 0,I,II,III Resectable
First line III Unresectable
First line IV First Line Metastatic
Second line or
greater/Refractory/Relapsed
III, IV Second Line
First line
Maintenance/Consolidation
III Unresectable
First line
Maintenance/Consolidation
IV First Line Metastatic
Second line or
greater/Refractory/Relapsed
Any stage Second Line
First line II,III Unresectable
First line Any stage First Line Metastatic
Line of therapy N/A IV First Line Metastatic
Line of therapy N/A III Unresectable
Associate the elements of treatment decision tree
to each clinical trial

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DATAVIZ #1 : The WHEEL
More details on associated clinical Trials
Filter by

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DATAVIZ #2: Dashboard (Drugs2Trials)

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DATAVIZ #3 : Dashboard (DrugsByStudyCount)
Color = Number of competitors
Size = Disease count

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DATAVIZ #4 : Dashboard (Trials’stageOverTime)
Clinical trials’ tendency in First line
metastatic

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Take Aways
Interesting and enriching agile working method
This project has taught us:
 Need to work on structured data
 Structured data extracted from paid databases such as
Pharmaprojects or Trialtrove are of poor quality: content, coverage,
update, metadata
 Need to cross-check the information, to "clean" the data
 Importance of setting up dynamic dataviz to help us analyze the
information

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VALEM 360 : Conclusion & Perspectives
 Fast implementation of a data-driven approach
 Provide a competitive landscape database on pancreatic cancer
 Different interactive data visualization tools
 Improve semi-automatic to fully automatic (daily – weekly update) data
driven approaches. API solutions
 Improve used methodology based on business feedback
 Apply the same method to different pathologies

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04/04/2019
Contents
 Introduction
 BizInt and Vantage Point solutions
 VALEM360
 Conclusion

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04/04/2019
Conclusion
Data Visualizations for the Analysis of our Competitive Intelligence
 Very Useful Tools
 Choose Relevant Representations
 Need Expertises in Topics, Information Sources and Data
Structures.