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BUSINESS INTELLIGENCE APPLICATIONS CONSUMER HOW TO

Domino Data Lab also claims users can revisit trials to find insights on topics that were relevant in the past and have come up again more recently.Ĭomplexica offers a more widely-applicable solution which it claims enables companies to find information on business operations, clinical operations, and marketing initiatives. This would help pharmaceutical companies prove their trial results in order to comply with healthcare regulations. They state the software can simulate those planned trials to give clients a more detailed look at how the prediction was made and which factors they can change to improve results.ĭomino Data Lab’s software platform is advertised to help with clinical trial design and emphasizes reproducibility. Predictive analytics is the predominant application for this type of solution because there is a high volume of numerical and structured data within the space.ĭataiku claims its solution, the Data Science Studio (DSS), helps optimize clinical trials by making predictions on the results of planned trials.

Many of these vendors offer AI and machine learning to automate the process of sifting through data and creating visualizations to study that data. Business Intelligence in Pharma and Life Sciences – Insights Up Front As such, software vendors offer solutions to pharmaceutical companies to help them find useful information from their past work and produce the best plans of action for their clinical trials.

BUSINESS INTELLIGENCE APPLICATIONS CONSUMER HOW TO

Long histories of clinical trials can be difficult to comb through to find insights on how to plan future ones, and past results can be helpful when trying to identify best practices. In addition to common business drivers like marketing, profit and loss, and customer churn, pharmaceutical companies need information regarding patients and clinical trial results. Business leaders in pharma and life sciences have more specific business intelligence needs than peers in other industries.

Business intelligence applications consumer