Analytics Drives Business Intelligence Flashcards
Business intelligence
Information that results from the processing of operational data to create information. It exposes patterns, relationships, and trends of importance to an organisation
Business analytics
Business analytics is the use of data, information technology, statistical techniques, and quantitative models, to help managers build their understanding of business operations. It supports them to take improved, informed decisions. Insights derived from analytics, ensure industries and businesses spot new opportunities, and uncover hidden connections.
Relationship between business intelligence & business analytics
The application of business analytics to operational data generates business intelligence
3 forms of business analytics
Descriptive analytics
Predictive analytics
Prescriptive analytics
Descriptive analytics
The use of data to understand past and current business performance and to make informed decisions.
Predictive analytics
Analysis of past performance in an effort to predict the future. Done by examining historical data, detecting patterns or relationships in these data (i.e. creating a “model”), and then extrapolating these relationships forward in time.
Prescriptive analytics
Using a model where the output of the model can be optimised (maximised) by adjusting the input alternatives, so “prescribing” what the best decision is.
Learning analytics
The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.
Examples of the types of applications that can result from Educational data mining:
Analysis and visualisation of data (e.g. Grades and test scores)
Feedback for instructors (e.g. Student and teacher surveys)
Tracking tools in learning management systems (such as Canvas)
4 predictive analytics
Social Network Analysis
Discourse analytics
Social learning analytics
Disposition analytics
Social network analysis
the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
Discourse analytics
- Discourse analytics aims to capture meaningful data on student interactions which (unlike ‘social network analytics’) aims to explore the properties of the language used, as opposed to just the network of interactions, or forum-post counts, etc.
Social learning analytics
is aimed at exploring the role of social interaction in learning, the importance of learning networks, discourse used to sensemake, etc.
Disposition analytics
seeks to capture data regarding student’s dispositions to their own learning, and the relationship of these to their learning. For example, “curious” learners may be more inclined to ask questions - and this data can be captured and analysed for learning analytics.
Analytics using spreadsheets
The Spreadsheet is a powerful tool that can be employed to analyse tables of business data, employing Business Analytics techniques.