Information Access and Delivery: Matching Information to Classes of Users in Data Mining and Data Warehousing refers to the strategies and techniques used to ensure the right information is provided to the right users efficiently and effectively. Here's how it applies:
Users are grouped into categories based on their roles, expertise, and information requirements, such as:
Business Analysts: Require summarized reports and trends.
Executives: Need high-level dashboards for decision-making.
Data Scientists: Require raw and detailed data for analysis.
IT Professionals: Focus on data structure and system performance.
Operational Users: Access real-time data for day-to-day tasks.
Strategic Users: Use historical and predictive data for planning.
Tactical Users: Require data for short-term decisions.
Data Warehousing: Centralized repositories for structured and integrated data.
OLAP Tools: Allow multidimensional analysis and querying.
Visualization Tools: Dashboards, charts, and reports for non-technical users.
Raw Data: For data scientists and technical users.
Aggregated Data: For executives and analysts.
Predefined Queries: For users with specific, repetitive needs.