Business Intelligence Concepts and Trends

Raw facts or values collected before any processing. Think of it as the basic building blocks of information.

Organized, structured data that provides context and meaning. It turns raw data into something understandable.

The ability to apply knowledge and understanding to a situation, making it useful and actionable. It's about turning information into insights.

The highest level of understanding, combining intuition, experience, and judgement. It's about making the best decision based on your knowledge.

The process of analyzing data and information to gain insights and make decisions.

A broad term encompassing methods, processes, applications, and technologies focused on collecting, transforming, and analyzing data for making better business decisions.

The process of capturing, storing, processing, and transforming raw data into meaningful and useful information for decision-making.

A type of data processing focused on routine tasks such as inserting, modifying, deleting, and transmitting data.

A repository for storing large volumes of data from various sources, often used for analysis and reporting.

A subset of a data warehouse, focused on a specific business area or function, like marketing or finance.

Software tools used to analyze and visualize data stored in data warehouses or data marts.

Turning data into knowledge, focusing on analytical processing, often used within the context of business analysis.

A situation where there's an overwhelming amount of data, making it difficult to organize for effective retrieval and analysis.

Data residing in separate systems and sources, creating challenges for integration and analysis.

The challenge of accessing and retrieving specific information amidst vast amounts of data.

Data that has a defined structure and can be easily categorized, stored, and managed in a database system.

Data that lacks a predefined structure and can be in various formats, such as images, videos, text files, and audio files.

Data represented by numbers, collected and used for quantitative analysis.

Data represented by text or natural language, used for qualitative analysis.

Data generated within an organization, often stored in transactional systems used for internal operations.

Data sourced from outside an organization, such as market research, industry reports, or economic indicators.

Companies that provide a wide range of Business Intelligence tools and solutions, often with extensive capabilities across data warehousing, analytics, and reporting.

A graphical representation of BI vendors based on their completeness of vision and ability execute.

Business Intelligence tools and systems that integrate data from various sources, process it, and make it accessible for analysis and reporting.

Individuals who design, implement, and maintain BI solutions, ensuring seamless integration and functionality across different systems.

Professionals who identify business needs, translate them into data requirements, and interpret data to deliver actionable insights.

A type of database designed for quick access and processing of data, often used for transactional operations.

A category of software applications used to analyze data and draw conclusions, helping organizations make better decisions.

The process of delivering insights from data analysis to users in a clear and understandable format, often through reports and dashboards.

A type of user who has advanced knowledge and skills in using BI tools and interpreting data.

A type of user who has basic understanding of data and uses BI tools for more general analysis and reporting.

The process of accessing data from various sources, including databases, spreadsheets, and flat files.

The process of transforming raw data into a usable format for analysis, including cleaning, structuring, and standardizing.

Data from multiple sources, often structured, prepared for analysis, and stored in a "data warehouse" for long-term storage.

The process of analyzing data and information to identify patterns, trends, and insights. It's about understanding what the data means.

The process of discovering hidden patterns, trends, and relationships in large datasets. It's about finding insights that were not explicitly known.

An interdisciplinary field combining computer science, statistics, domain expertise, and other areas to extract knowledge from data. It's about using data to solve problems.

Gathering detailed user needs, understanding business processes, and transforming those needs into specific solutions. It's about bridging the gap between business users and technical teams.

The process of developing and managing a BI project from its initial planning to implementation and ongoing maintenance. It includes stages like defining scope, gathering data, building solutions, and deploying them.

Understanding different departments and how data flows within an organization. It's about seeing the big picture of information flow.