Analytics

• Data processing:
• automated operations on data, text and numerical data extraction, summarization, and reporting
• Data analysis:
  
• statistical analysis to reduce and summarize data, illuminate anomalies and differences, and to provide the information needed to answer key questions
• Graphical reporting
• web-based presentation of analytical results in a variety of graphical formats
  
• Data mining: 
• application of analytical techniques to "mine" the data to identify significant, previously unknown relationships
• Survey research & measurement evaluation:
  
• estimation and reporting of population characteristics from observational studies and questionnaires
• Simulation-based operations research analysis:
  
• optimization of business processes via computer simulation
  
• Database development: 
• development of small databases in Microsoft Access

Quality Assurance and Quality Improvement

• Data QA: 
• data cleaning to ensure data are within specifications, and to characterize data errors
  
• Data management:
  
• protocols for data collection, entry, and verification processes
• Development and application of QI/statistical tools
• measurement and monitoring procedures to redesign systems for optimal performance