BAT401 Reviewer

Field of computer science that uses math, statistics, and machine learning to find meaningful patterns in data.

• Business Analytics

• Data Analytics

• Business Intelligence

• Data mining

use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about business operations and make better, fact-based decisions.

• Data Science
• Business Intelligence
• Data Mining

• Business Analytics

process of collecting information from all sources to make data-driven decisions in an organization

• data collection
• business intelligence

• data synthesis
• data analysis

study of data to extract meaningful insights for business

• data mining
• data visualization
• data science
• data analytics

highly organized and formatted so that it's easily searchable in relational databases.

• Structured data

• Unstructured data

• Data

• Data Mining

no predefined format or organization, making it much more difficult to collect, process, and analyze.

• Unstructured Data

• Data

• Data Mining

• Structured Data

process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis

• data mining
• data analysis
• data visualization
• data modeling

What is CRISP-DM

• Cross-Industry Standard Process for Data Management
• Cross-Industry Standard Process for Data Mining
• Customer Relationship Information System for Data Mining
• Computerized Research and Information System for Data Management

Which of these does not belong to Business Understanding?

• Optimize pricing to boost revenue

• Segment customers to tailor product offer

• Study of data to extract meaningful insights for business.

• Pinpoint bottleneck and failure points in our supply chain

Which of these does not belong to Data Understanding?

• Availability

• Granularity

• Quality

• Frequency

• Functionality