Explore how GenAI is turning fragmented PMR data into actionable insights, enhancing strategic decision-making in the pharmaceutical industry by streamlining unstructured and structured data for faster, more informed actions.
Topic: Data Management
Automated Clinical Trial Data Extraction from Structured and Unstructured Data Sources
Clinical trial data is critical yet complex. Learn how MathCo leverages GenAI and NLP to automate the extraction of structured insights from unstructured text—reducing manual effort by 80% and accelerating drug discovery. Explore a real-world case study showcasing scalable AI-powered solutions for clinical trial data processing and regulatory compliance.
How to Make Sense of Unstructured Data in Pharma?
Unlock the power of unstructured data in pharma to enhance supply chain risk management, streamline clinical trials, enable real-time incident response, track competitors, and ensure regulatory compliance. Discover how data-driven insights can drive efficiency, mitigate risks, and maintain a competitive edge in the ever-evolving pharmaceutical landscape.
How Data Analytics Powers Multiple Supply Chain Management
Learn how data analytics powers multiple supply chain management by optimizing logistics, mitigating risks, and enhancing efficiency. With predictive insights and real-time monitoring, discover how organizations can streamline operations, reduce costs, and stay resilient in a fast-changing global market.
Building Data Platforms with a Data Product Mindset – Part 1
Transform your business with a data product mindset. Focus on measurable value, user-centric design, and clear ownership to drive actionable insights, improve decision-making, and achieve impactful outcomes. Unlock the full potential of your data for growth, innovation, and enhanced customer experiences with a modern, value-driven approach to data management.
4 Data Engineering Challenges Hurting Your Organization
Data engineering transforms raw data into high-quality, actionable insights by integrating security, data management, DataOps, and software engineering. It focuses on building robust platforms for efficient data flow, supporting business intelligence and decision-making. This white paper explores the top four challenges in data engineering, as projects grow in popularity and complexity.
Impact of Generative AI on Pharma Marketing Analytics
Generative AI has taken the world by storm. The release of OpenAI’s ChatGPT and related platforms has triggered discussions around a new world of possibilities. While some organizations welcomed the winds of change with open arms, others still remain skeptical. However, with several IT giants recently jumping on the bandwagon and pledging their support to… Continue reading Impact of Generative AI on Pharma Marketing Analytics
A Simple Guide to a Smooth Legacy System Migration
In today’s digital age, updating your IT systems is crucial for staying competitive. Legacy system migration can be a complex process, but by following key steps, you can cut costs, enhance business value, and give your enterprise a modern outlook.
Improve Your Business Value by Dissolving Organizational Data Silos
In today’s digital ecosystem, gathering data is only part of the equation. To truly harness the power of data analytics, it is crucial to address the challenges posed by data silos. This white paper delves into the causes, consequences, and the most effective solution to dismantle data silos, illustrated through a compelling case study.
How Hyper-Personalization Is Shaping Patient Support Programs
This article discusses the shift from service-focused healthcare models to patient-centric approaches and emphasizes the importance of hyper-personalization in patient support programs (PSPs). It highlights the potential of hyper-personalization in improving financial aid services, increasing patient adherence through proactive communication, and enhancing healthcare literacy.