Podcast
Questions and Answers
What is the primary function of Business Intelligence?
What is the primary function of Business Intelligence?
- To extract, transform, integrate, visualize, and present data to support decision making (correct)
- To analyze multidimensional data from many different perspectives
- To explore large amounts of data for hidden patterns to predict future trends
- To track progress in executing chosen strategies to attain organizational objectives
What is the main purpose of Data Visualization?
What is the main purpose of Data Visualization?
- To explore large amounts of data for hidden patterns to predict future trends
- To present data in a pictorial or graphical format (correct)
- To identify issues and opportunities as well as perform trend analysis
- To analyze multidimensional data from many different perspectives
What is a conversion funnel?
What is a conversion funnel?
- A method to analyze multidimensional data from many different perspectives
- A collection of data that contains numeric facts called measures, which are categorized by dimensions
- A visual depiction of a set of words that have been grouped together because of the frequency of their occurrence
- A graphical representation of the steps a consumer takes in making the decision to buy your product and become a customer (correct)
What is the main goal of OLAP?
What is the main goal of OLAP?
What is a Data Cube?
What is a Data Cube?
What is Drill-Down Analysis?
What is Drill-Down Analysis?
What is the primary purpose of Linear Regression?
What is the primary purpose of Linear Regression?
What is the main goal of Data Mining?
What is the main goal of Data Mining?
What is CRISP-DM?
What is CRISP-DM?
What is Self-Service Analytics?
What is Self-Service Analytics?
Study Notes
Business Intelligence (BI)
- A wide range of applications, practices, and technologies for extracting, transforming, integrating, visualizing, analyzing, interpreting, and presenting data to support improved decision making.
Data Visualization
- Presentation of data in a pictorial or graphical format.
- Examples: Word cloud, Conversion funnel.
Data Analysis Tools
- Online Analytical Processing (OLAP): analyzes multidimensional data from multiple perspectives, enabling users to identify issues, opportunities, and perform trend analysis.
- Data cube: a collection of data containing numeric facts (measures) categorized by dimensions (e.g., time, geography).
- Drill-down analysis: interactive examination of high-level summary data to gain insight into specific elements.
Data Mining
- Exploration of large amounts of data to discover hidden patterns, predict future trends and behaviors for decision making.
- Cross-Industry Process for Data Mining (CRISP-DM): a six-phase structured approach for planning and executing data mining projects.
Performance Metrics
- Key Performance Indicator (KPI): a metric tracking progress in executing chosen strategies to attain organizational objectives and goals.
- KPI consists of a direct measure, target, and time frame.
- Dashboard: a presentation of a set of KPIs about the state of a process at a specific point in time.
Analytics Self-Service
- Training, technology, and processes that empower end-users to work independently, accessing data from approved sources to perform their own analysis using endorsed tools.
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Description
This quiz covers business intelligence, data visualization, and data analysis tools, including OLAP, to support informed decision making.