Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Descriptive analysis is the analysis of the data that helps describe, show, or summarize data in a meaningful way. It does not draw conclusions from the data but simply describes the data.
Diagnostic Analysis attempts to the answer the question, "Why did this happen?" using multiple disciplines from data discover to data mining.
Predictive Analysis incorporates multiple disciplines that analyze current and historical data to make predictions about the future or other unknown events.
SPATIAL ANALYSIS & SPATIAL STATISTICS
Spatial Analysis and Statistics incorporates the geospatial elements of your data to answer questions. It does a great job accounting for human behavior within analysis.