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DDS™ iMiner™
Unstructured Data Collateral Platform
Extract Insights from non
traditional Data sources that
can lead to better business
decisions resulting in unfair
competitive advantage for
stakeholders across the drug
development &
commercialization value
chain.
Introduction
Key challenges faced today
Although the potential is immense, companies face daunting challenges
in extracting value out of unstructured Data.
Key challenges faced today
The DDS™ platform seamlessly integrates multiple sources like social media, web Data, digital
engagement Data, published literature, targeted surveys, sales force and medical science liaison
feedback as well as semi structured sources like EMR/ EHR and observational registries.
DDS™ platform, users can also
merge these emerging Data sources
with more traditional structured
Databases to glean new Insights and
leverage them for business advantage
across the BioPharma value chain
Case Study:
BioPharma company gather key insights
around prescriber perceptions and
generated prospective KPIs
READ MORE
Use cases that can benefit from
Unstructured Data Analysis
DDS™ iMiner™ Advantages
A highly available, compliant
infrastructure, robust Data Integration and
Analytics, and focused industry expertise
are the core building blocks necessary to
gain critical business Insights from
Unstructured Data. With the DDS™
Platform, we combine advanced
technology and human intelligence to not
just report information but provide
actionable Insights across the
BioPharma continuum
Rapidly prototype and scale solutions to
leverage Unstructured Data.
Access to Data science specialists with in
depth domain knowledge
Accelerated path to deploying
dashboards and reports
Plug into operational applications like
CRM, Digital Media layer etc.
Top 3 causes of concern
%, 64 comments, current to week
ending June 14, 2015
Overall Brand sentiments
%, positive association by word
analysis from Facebook, Twitter and
YouTube as of week ending June 14,
2015
Illustrative Use Cases
MSLs can provide Insight into what thought leaders and KOLs consider most appropriate patient types
for the product vs. competition. Social Media Analysis provides timely Insights to understand and
influence stakeholders behavior
Most appropriate patient
types
%, based on MSL survey as of week
ending June 14, 2015
General issues identified in
Social Media
Number of references, filtered by
Facebook, Twitter and Youtube as of
week ending June 14, 2015
Thank you
To register for DEMO:
Visit : www.dcubeanalytics.com
Email: info@dcubeanalytics.com

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Unstructured Data Collateral

  • 2. Extract Insights from non traditional Data sources that can lead to better business decisions resulting in unfair competitive advantage for stakeholders across the drug development & commercialization value chain. Introduction
  • 3. Key challenges faced today Although the potential is immense, companies face daunting challenges in extracting value out of unstructured Data.
  • 4. Key challenges faced today The DDS™ platform seamlessly integrates multiple sources like social media, web Data, digital engagement Data, published literature, targeted surveys, sales force and medical science liaison feedback as well as semi structured sources like EMR/ EHR and observational registries. DDS™ platform, users can also merge these emerging Data sources with more traditional structured Databases to glean new Insights and leverage them for business advantage across the BioPharma value chain Case Study: BioPharma company gather key insights around prescriber perceptions and generated prospective KPIs READ MORE
  • 5. Use cases that can benefit from Unstructured Data Analysis
  • 6. DDS™ iMiner™ Advantages A highly available, compliant infrastructure, robust Data Integration and Analytics, and focused industry expertise are the core building blocks necessary to gain critical business Insights from Unstructured Data. With the DDS™ Platform, we combine advanced technology and human intelligence to not just report information but provide actionable Insights across the BioPharma continuum Rapidly prototype and scale solutions to leverage Unstructured Data. Access to Data science specialists with in depth domain knowledge Accelerated path to deploying dashboards and reports Plug into operational applications like CRM, Digital Media layer etc.
  • 7. Top 3 causes of concern %, 64 comments, current to week ending June 14, 2015 Overall Brand sentiments %, positive association by word analysis from Facebook, Twitter and YouTube as of week ending June 14, 2015 Illustrative Use Cases MSLs can provide Insight into what thought leaders and KOLs consider most appropriate patient types for the product vs. competition. Social Media Analysis provides timely Insights to understand and influence stakeholders behavior
  • 8. Most appropriate patient types %, based on MSL survey as of week ending June 14, 2015 General issues identified in Social Media Number of references, filtered by Facebook, Twitter and Youtube as of week ending June 14, 2015
  • 9. Thank you To register for DEMO: Visit : www.dcubeanalytics.com Email: info@dcubeanalytics.com