Whois & Analysis for naics.com

Business Intelligence (BI) are the set of strategies, processes, applications, data, technologies and technical architectures which are used to support the collection, analysis, presentation and dissemination of business information.

BI technologies provide historical, current and predictive views of business operations.

Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics and are capable of handling large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities.

The goal is to allow for the easy interpretation of these big data.

Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.

The North American Industry Classification System or NAICS (pronounced "nakes") is used by business and government to classify business establishments according to type of economic activity (process of production) in Canada, Mexico, and the United States of America.

It has largely replaced the older Standard Industrial Classification (SIC) system; however, certain government departments and agencies, such as the U.S. Securities and Exchange Commission (SEC), still use the SIC codes.

Data (or) is a set of values of qualitative or quantitative variables.

An example of qualitative data would be an anthropologist's handwritten notes about his or her interviews with people of an Indigenous tribe.

Pieces of data are individual pieces of information.

While the concept of data is commonly associated with scientific research, data is collected by a huge range of organizations and institutions, including businesses (e.g., sales data, revenue, profits, stock price), governments (e.g., crime rates, unemployment rates, literacy rates) and non-governmental organizations (e.g., censuses of the number of homeless people by non-profit organizations).