Sure, let’s take a deep dive into Business Intelligence (BI) with a Quizlet-style overview! I’ll provide you with key terms and their definitions related to Business Intelligence. Feel free to use these as study material or quiz questions.
Business Intelligence (BI):
The technology-driven process of collecting, analyzing, and presenting business data to support decision-making.
A centralized repository that stores data from various sources, making it available for analysis and reporting.
The process of discovering patterns, trends, and insights from large datasets to aid in decision-making.
Extract, Transform, Load – the process of extracting data from different sources, transforming it to fit into a standardized format, and loading it into a data warehouse.
A visual representation of key performance indicators (KPIs) and metrics, providing a quick overview of business performance.
OLAP (Online Analytical Processing):
A technology that enables users to interactively analyze multidimensional data, allowing for complex queries and data exploration.
Representing data through visual elements like charts, graphs, and maps to make it easier to understand and analyze.
Key Performance Indicators (KPIs):
Specific metrics that measure the performance of a business and help assess its progress toward goals.
Using historical data and statistical algorithms to forecast future outcomes and trends.
The practice of using data analysis and statistical methods to make informed business decisions.
Extremely large and complex datasets that are difficult to manage and process using traditional data processing techniques.
A subset of a data warehouse that focuses on a specific area or topic, making it easier to analyze data relevant to that area.
A technique used in designing data warehouses that organizes data into facts and dimensions for efficient querying and analysis.
Ad Hoc Query:
A query that is created on-the-fly to answer a specific, often unforeseen, question.
Data about data; it provides information about the structure, context, and meaning of data.
The ability to navigate through aggregated data to view detailed or higher-level information.
The management of data quality, availability, integrity, and security across an organization.
Ensuring that data is accurate, consistent, and reliable for decision-making processes.
A software suite that provides tools for data analysis, reporting, and dashboard creation.
Real-time or near-real-time data analysis used to support ongoing business operations and decision-making.
Feel free to use these terms as a starting point for your quiz or study session on Business Intelligence!