Business analytics is no longer the future of business. It is the present.<\/p>\n
The use of data has spread to almost every industry. And data is no longer relegated to just the statistical analysis department. Uses of data range from the marketing department trying to target the right consumer<\/a> demographic to manufacturers streamlining operations on the factory floor.<\/p>\n Business analytics has also become an important tool for project managers in developing detailed project plans and is key for financial departments in planning how to spend and invest money.<\/p>\n Certain aspects of analytics should be part of every manager\u2019s education. Even for those who don\u2019t work directly every day with analytics, the strategy behind crucial techniques should be thoroughly understood.<\/p>\n They include the seven following data analysis concepts.<\/p>\n This technique allows for the comparison of two separate variables to determine if there is a relationship between them. Analysts typically use this approach when business leaders suspect that two variables work together in some way. Correlation analysis offers a way to test the assumption. An example might be testing whether the page through which people enter a website leads to more actual purchases of a product or service.<\/p>\n This term covers much of what analysts do with large data sets, often referred to as Big Data<\/a>. Using sophisticated statistical analysis, they research large amounts of data looking for patterns and trends that can prove useful to a business. They also look for correlations between two variables. The key here is providing actionable recommendations based on large amounts of information. An example includes searching health records from a certain large patient demographics to determine steps that can be taken to improve health outcomes.<\/p>\nCorrelation Analysis<\/h2>\n
Data Mining<\/h2>\n
Experimental Design<\/h2>\n