Basically, Knowledge Management (KM) describes how processes participants (particularly decision processes) utilize all resources (particularly information resources) to achieve their goals with precision, accuracy, on time and on budget inside every organization. Because the tools are typically fairly simple, using BI as a big data front end enables a broad number of potential users to get involved rather than the typical approach of highly specialized data architects being the only ones with visibility into data.
Business Intelligence is the way of analyzing the existing data whereas the Business Analytics will have Business Intelligence reports acts as inputs for the analytics to process the extracted information in a more sophisticated way to visualize the analyzed data.
4. Not taking the time to understand their processes in advance, as well as understanding from your users how they would like to engage in Business Intelligence is it through visualizations or dash boards or reports for example where they could achieve real benefit apart from what they have to work with.
In Business Intelligence, the data can be produced in the form of Dashboards, reports or pivot tables for different users like executives, managers and for analysts respectively whereas Business Analytics uses past Business Intelligence capabilities and information to help the customers’ highly productive in getting their jobs done.
Gaining a Masters in Business Intelligence and Analytics can open the door to careers in business, data management, cyber security and various other industries where reliance is on data driven decision making, predictive analysis and data discovery visualisation.