How Investors Can Leverage Big Data and AI for Better ESG and Water Risk Analysis

The Rare Disease Cures Accelerator–Data and Analytics Platform (RDCA-DAP®) is launching a new webinar series with the goal of sharing with the community examples of the use of rare disease person-level data in drug development and regulatory decision making. The series will feature 1-hour webinars highlighting analyses that have been done in individual disease areas, how they informed drug development, and how similar approaches could be applied to common drug development issues encountered in rare diseases. After each presentation time will be allowed for discussion with a panel of Quantitative and Regulatory experts around why the solutions presented were informative, lessons learned and how similar approaches could be applied to related problems.

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.

Join ADA and the Digital Analytics Association as we discuss the trends, challenges and innovations that are shaping the future of enterprise data science.