Full-Stack Analytics
What does "full-stack analytics" mean?
Full-stack analytics involves all aspects of data analysis, including investigation, transformation, visualization, statistical analysis, predictive modeling, machine learning, and presentation of insights.
Pendragon Analytics LLC provides full-stack analytics consultative services, specializing in the domains of educational research, healthcare, and marketing.
Services
Analytics
Algorithms and Automation. Improve analytics by enhancing data. Automate processes to free up resources.
Reporting. Explore and share data effectively, with interesting and compelling visualizations.
Statistics. Make better decisions using inferential statistics, machine learning, and predictive modeling.
Data
Collection. Identify and obtain data to fulfill your needs, including internal and external data sources.
Documentation. Improve data use with clear specifications and documentation.
Modeling. Data transformation using extract, transform, and load techniques, typically targeting a star schema.
Consulting
Solutions. Creative, effective solutions to difficult problems, including system and analysis design, as well as assessing tools and methods.
ROI. Demonstrate effectiveness using simple profit/cost ratios or complex quasi-experimental control group comparisons.
Tutoring. Learn more about statistics, Excel, SQL, or many other subjects.