Unstructured Data Collateral
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The document outlines the ddstm iminertm platform, which extracts insights from unstructured data sources to improve business decisions in the biopharma industry. It integrates various data types, including social media and traditional structured databases, to provide actionable insights. The platform offers a compliant infrastructure, advanced analytics, and access to data science specialists for a competitive advantage in drug development and commercialization.
Unstructured Data Collateral
- 1. DDSâą iMinerâą Unstructured Data Collateral Platform
- 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 DDSâą 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. DDSâą 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. DDSâą iMinerâą 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 DDSâą 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