BRIM, Inc. offers a variety of services designed to bring increased business awareness to clients with high quality data and information.  This information provides business decision confidence and support.

Data Analysis:

Not all challenges have a direct path or easy solution. This is an area where BRIM, Inc. has been fortunate in the past to set itself further apart from others. From processing LiDAR data to raster cell statistics analysis to performing prediction models, there are many ways for BRIM, Inc. to take your data and analyze information based on your unique challenges.  A unique combination of skills and experience brings new and exciting ways to approach problems, and turn those problems into new company assets.

 

 

Data Analysis


From Wikipedia, the free encyclopedia

Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing on business information.[1] In statistical applications data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.

Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling.