Which BI tool or technique would be most useful in predicting the likelihood of a fire in a building? a. Data mining b. Dashboards c. Simple linear regression d. Drill-down analysis on the building data

Data Mining

Explanation: Making prediction on the likelihood or occurrence of an event in the area of business intelligence often requires gathering large volume of data which are useful in making such prediction. However, these datasets required for making prediction on events such as fire outbreak are usually unlabeled, therefore, making inference or prediction from such data require intelligent techniques capable of generating hidden patterns and relationships in the data. The act of uncovering hidden patterns in large volumes of data is usually called DATA MINING. data mining usually employs concept of machine learning, statistics and artificial intelligence using relevant and powerful algorithms such as clustering in generating insight from these datasets. Dashboards are used for visualizing and creating a pictorial output of events or analysis. While simple linear regression are used on numeric and labeled data.

answer; i do believe that the correct answer is : a deadly factory fire;