Frequently Asked Questions
Please reach us at CPRdataanalytics@gmail.com if you cannot find an answer to your question.
A: Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events
A: Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Big Data Analytics helps in forecasting treatment methods, costs, real-time alerts, personalized care, and efficient streamlining of operations. It evaluates high-risk symptoms, provides better customer service, and increases clinical outcomes. Wastage of expenses is reduced through enhanced financial analysis.
A: Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development data, clinical data, and patient behavior and sentiment data
A: Using the power of "Analytics" CPR Data Analytics will:
- Use ‘systems, tools, and techniques to help organizations gain insight into current performance
- Identify relationships in data to guide decision-making.
- Leverage data sources to provide strategic and operational decision support
- Assists stakeholders with data analysis concerning productivity, efficiency, staffing, and quality
- Development of data-driven performance improvement plans to support organization strategic goals.
- Enhanced and focused analysis to establish Return on Investment (ROI) for proposed enterprise initiatives
- Identification and Optimization of the drivers of clinical, operational and financial performance.
