Across
- 2. Governance - Policies and procedures that ensure data quality, consistency, security, and proper management across an organization.
- 3. Warehousing - A centralized repository that stores large volumes of structured data from various sources, optimized for query and analysis rather than transaction processing.
- 4. Mining - The practice of exploring large datasets to uncover hidden patterns, correlations, and trends that can inform business decisions.
- 5. Specific, measurable values that track the success of an organization or project, such as sales growth or customer satisfaction.
- 7. A process that collects data from multiple sources, cleans and transforms it, and loads it into a data warehouse for analysis.
- 8. The process of presenting business data in a structured format to support decision-making and track key metrics.
Down
- 1. Visualization - The use of charts, graphs, and visual tools to make data more understandable and accessible for analysis and decision-making.
- 3. Visual interfaces that display key metrics and data summaries in real-time, providing at-a-glance insights for decision-makers.
- 6. Analytics - A type of analytics that uses historical data, machine learning, and statistical algorithms to forecast future outcomes.
- 9. A method for multidimensional analysis of data, allowing users to interactively explore large datasets for complex queries, like "drilling down" into data.