The following is a list of the main differences between Business Intelligence or Data Mining and other technologies:
- Data Mining looks for patterns in data, whereas Business Intelligence makes use of data to make decisions.
- While Business Intelligence is helpful in decision-making, Data Mining can help with specific problems and decision-making.
- Business intelligence deals with a large amount of data, whereas data mining deals with a much smaller amount.
- Data Mining uses computational intelligence to identify the best solution for a business factor, whereas Business Intelligence is focused on data analysis and business procedures.
- Data production, aggregation, and analysis are all part of business intelligence. Data mining, on the other hand, entails analysing, integrating, transforming, and evaluating data patterns.
- Data mining produces KPIs that can be displayed in BI results, while Business Intelligence informs and aids Business Administration and executives.
- Dashboards, Reports, and Documents in BI provide a consolidated view of various KPIs in visuals, charts, and data mining delivers reports to aid in decision-making.
- Data Mining can be utilised for BI to develop key performance indicators (KPIs) that will aid decision-making.
Top comments (1)
Understanding the key difference between business intelligence and data mining is essential. Both aim for the same goal, which is to help business managers make better, more informed, evidence-based decisions. While BI can tell you something went wrong, data mining, on the other hand, can tell you why it went wrong. To learn more check out business intelligence software.