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. Working in close collaboration with BI analysts and developers as well as clients, customers, and various internal departments, an engineer is responsible for not only helping to fine-tune BI-based platforms, processes, and tools within an organization but also for the ongoing strategic implementation of such tools, including dashboard tools The role of a business intelligence engineer is incredibly rich, varied, and demanding.
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.
Just as every organization has implemented “passive” record-keeping applications of some sort or another, there will be a time when most will also have “active”, even “thinking” intelligent software that examines data, sniffs out issues, evaluates propositions, recommends actions and monitors results.
From this point of view, Knowledge Management is focused in how every key employee of an organization executes her key activities timely, without errors, following business rules (or not), how this business rules are efficient and effective (or not) and how this employee make decisions: which information pieces support this decisions and how this information pieces can configure some behaviors (or not).
It is the very fact that Excel is so ubiquitous that means it is probably the widest Business Intelligence application in use today, the trouble is that managers are using it as a storage place for data, without really understanding how it can be used to create information and knowledge and hence ‘Business Intelligence’.