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Data Analysis

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.

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DESCRIPTIVE

ANALYSIS

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.

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DIAGNOSTIC

ANALYSIS

Diagnostic Analysis attempts to the answer the question, "Why did this happen?" using multiple disciplines from data discover to data mining.

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PREDICTIVE

ANALYSIS

Predictive Analysis incorporates multiple disciplines that analyze current and historical data to make predictions about the future or other unknown events.

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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.

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