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2. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

3. Business requirements - Wikipedia

   en.wikipedia.org/wiki/Business_requirements

   Business requirements in the context of software engineering or the software development life cycle, is the concept of eliciting and documenting business requirements of business users such as customers, employees, and vendors early in the development cycle of a system to guide the design of the future system.

4. Business analytics - Wikipedia

   en.wikipedia.org/wiki/Business_analytics

   Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .

5. AOL - Finance News & Latest Business Headlines - AOL.com

   www.aol.com/careers

   Get breaking Finance news and the latest business articles from AOL. From stock market news to jobs and real estate, it can all be found here.

6. Data modeling - Wikipedia

   en.wikipedia.org/wiki/Data_modeling

   Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the ...

7. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3]