{"id":1800,"date":"2018-10-29T11:09:02","date_gmt":"2018-10-29T11:09:02","guid":{"rendered":"http:\/\/bisk-preprod.go-vip.co\/msu\/?p=1800"},"modified":"2019-10-07T13:20:41","modified_gmt":"2019-10-07T13:20:41","slug":"difference-between-business-intelligence-vs-business-analytics","status":"publish","type":"post","link":"https:\/\/bisk-preprod.go-vip.co\/msu\/resources\/business-analytics\/difference-between-business-intelligence-vs-business-analytics\/","title":{"rendered":"What\u2019s the Difference Between Business Intelligence and Business Analytics?"},"content":{"rendered":"

Today\u2019s data-driven business culture has given organizations new resources and competitive advantages through the integration of data into everyday operations and strategic business decisions. With this increasing reliance on Big Data and growth in the data, organizations are able to gather, both business intelligence (BI) and business analytics (BA) are crucial for interpreting the information and creating effective, data-based action plans that companies can use for a competitive advantage.<\/p>\n

Though they tend to be used interchangeably, business intelligence and business analytics have different applications and different goals. When used together effectively, they can complement each other and maximize efforts to achieve business goals.<\/p>\n

Business Intelligence<\/h2>\n

True to its name, business intelligence (BI) is about using data to make intelligent business decisions by monitoring, collecting and reporting data for interpretation. Since there is so much data out there, BI helps organizations filter through existing relevant data to decipher trends and patterns in the past and present to make better decisions for current<\/i> operations.<\/p>\n

In many organizations, this process is the responsibility of business intelligence analysts who work with data scientists to analyze the gathered data, interpret data patterns and then communicate effectively to their organizations how to best implement these findings. Depending on the industry and area within an organization, business intelligence may also be applied by financial analysts, research analysts, and computer systems analysts.<\/p>\n

Business intelligence and the analysts who steer the field provide organizations with the ability to collect and interpret raw data, make informed and quick decisions in the present, and monitor data in real time.<\/p>\n

Business Analytics<\/h2>\n

Business analytics (BA) is vital to utilizing business intelligence to its full potential by working to interpret data to predict future <\/i>patterns based on current<\/i> data. Business analytics is great for companies looking to improve or change their current operations and make better decisions for the future. It can be used to strategize, recognize sales and market opportunities, improve relationships with customers, better indicate potential risks and decrease threats based on the analysis of why things happened in the past and if something will occur again.<\/p>\n

Due to its rising importance in the age of Big Data, there are a va<\/a>riety of<\/a> caree<\/a>r<\/a> paths<\/a> across fields utilizing business analytics and the data it needs to work, including:<\/p>\n