16 Questions
What is the primary purpose of Business Intelligence (BI)?
To support improved decision making
What is the term for a graphical representation of the steps a consumer takes in making a purchase decision?
Conversion Funnel
What is the term for a visual depiction of a set of words grouped by frequency of occurrence?
Word Cloud
What is the term for an interactive examination of high-level summary data to gain insight into certain elements?
Drill-Down Analysis
What is the primary purpose of a Key Performance Indicator (KPI)?
To track progress in executing chosen strategies
What is the term for a presentation of a set of KPIs about the state of a process at a specific point in time?
Dashboard
What is the term for a mathematical procedure to predict the value of a dependent variable based on a single independent variable?
Linear Regression
What is the term for a structured approach for the planning and execution of a data mining project?
CRISP-DM
What is the primary function of Data Visualization?
To create a visual representation of data
What is the main purpose of Online Analytical Processing (OLAP)?
To analyze multidimensional data from many different perspectives
What is the primary benefit of using Drill-down analysis?
To gain insight into certain elements of data
What is the main goal of Data Mining?
To explore large amounts of data for hidden patterns
What is the primary purpose of a Dashboard?
To track progress in executing chosen strategies
What is the main benefit of Self-Service Analytics?
To empower end-users to work independently
What is the primary function of a Data Cube?
To categorize data by dimensions such as time and geography
What is the main purpose of Linear Regression?
To predict the value of a dependent variable
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.
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.
Test your knowledge of Business Intelligence, Data Visualization, and Data Analysis Tools. Learn how to extract, transform, and present data to support informed decision making.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
