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Big data analytics in clinical trials | Clinical Research Informatics

The information age gives companies of all sizes access to Big Data that's growing in volume, variety, velocity & complexity. With more data coming from more sources faster than ever, the question is: What is your Big Data strategy? How are you combining new and existing data sources to make better decisions about your business? How could new data sources including social, sensors, location, and video help improve your business performance? Will your Big Data remain dormant or will you make it work for you?

DDI offers Big Data Solutions for customers who need a targeted solution for a specific business or technology need. The most successful companies are enhancing their competitive advantage by leveraging analytics to improve decision making and to understand, predict and influence consumer behaviour. DDI helps companies maintain a competitive edge by centralizing Big Data and Analytics to solve complex problems across their organizations.

Advanced Data Processing and Insightful Decision Making

DDI analytics expertise lies in varied functional domains of life science industry and text mining. In these domains, DDI has developed many analytical applications for:

  • Risk Analysis
  • Pharmacogenomics
  • Real World Data / Evidence
  • Clinical Fraud/ Detection
  • Modeling Life Cycle Management
  • Identify New Potential Drug Candidates
  • Monitoring Patterns, Causes, and Effects
  • Targeted Marketing
  • Predictive Analysis
  • Sentiment Analysis
  • Patient Identification

Key Features of Analytics strategy :

  • Help you bring order to your Big Data
  • Better and proven algorithms / statistical methods
  • Predictive analytics & Sentiment analysis
  • Text analytics
  • Social media analysis
  • Uses variety of data sources like Text, literature documents, social media
  • Faster data insights

Key Benefits of Analytics strategy :

  • Key decisions are made on time
  • Leverage advance analytics features
  • Manage and understand your data
  • Better Health Economic outcomes to gain competitive edge
  • Evidence based medicine
  • Analyze historical and real time clinical data to detect fraud
  • Find real world data in understanding causes & e¬ect of diseases
  • Medical research & Pharmacogenomics
  • Off-label usage
  • Sentiment analysis based on social media for diseases or products
  • Analysis of social media to nd new medical pathways
  • Take advantage of available public health data for strategic planning
  • Know consumer behavior and preferences
  • Target marketing, Brand monitoring, Competitor analysis
  • Market segmentation, Product positioning

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