first step
A prerequisite for the implementation of online analytics is data quality management. First of all, it is data profiling and cleaning. High-quality data is the basis for correct decisions. They allow you to analyze trends, predict results and make strategic decisions. Accurate, complete and accessible data optimizes business processes, improves productivity and improves patient care. Compliance with data processing rules can be important to protect against fines and reputational damage. High-quality data helps to identify and reduce risks and gives it a competitive advantage. Low data quality obviously leads to financial losses. Investing in data quality management pays off quickly enough by increasing efficiency, reducing risks and strengthening reputation. After profiling and cleaning the data, an individual solution design is developed for online analysis of information in your information system. Example: A typical situation is when daily five-minute meetings are held at the beginning of the working day. Doctors on duty report information for the past day. Accuracy and completeness leave much to be desired for objective reasons and primarily due to the human factor. And medical information systems (MIS) lack operational and general information. As a result, there is a need to check and clarify information from various sources for a long time. Therefore, the necessary decisions are not made on time or not to the full extent, which definitely harms the work of the institution.