Industry background
Big data provides an unprecedented opportunity for the pharmaceutical industry to optimize research and clinical trials, protect against counterfeiting and fraud, improve treatment outcomes, and pinpoint doctors, providing them with timely and reliable information. With big health industry quietly approaching, the future pharmaceutical industry will be facing huge challenges and development opportunities.
Solution
Debay has successfully provided a full range of big data services to many pharmaceutical companies. Whether it is enterprise data centers, reporting platforms, BI portals, big data products or integration of business systems across industries, Debay has comprehensive solutions to enable pharmaceutical companies to transform digitally. Debay covers mature industry standardized regular reports, indicators model and analysis systems for major business departments, and creates enterprise data consensus while solve the problems of large amount of data and difficult analysis in drug enterprises. The integration of industry analysis system with the status of enterprises can greatly improve the accuracy and efficiency of decision-making.
While providing industry master data standardization solutions, Debay also provides mature and efficient industry standardization flow data processing technology to help pharmaceutical enterprises to solve the cumbersome and inefficient problems during data acquisition, governance, and debug. Furthermore, combined with AI technology, Debay can help enterprises achieve intelligent classification, automated analysis and distribution. Eventually, it enables full life cycle control of flow data, considering typical business scenarios.
Debay Value
With deep technical background and experience in big data applications, Debye has built a comprehensive "big Data + medicine" solution, effectively helping pharmaceutical companies to wake up sleeping data, promote big data decision making capability, solve data related problems, and support big data transformation in all aspects of pharmaceutical companies.
Relying on the technical accumulation of knowledge map in Debay, the Debye medical knowledge map can be used in medical electronic records to analyze contextual data of patient treatment via machine learning technique. This will provide predictive analysis of the condition and enable biopharmaceutical and medical equipment companies to make forward-looking decisions, thus provide more effective treatment options or introduce more targeted products.