Question at position 13 What is a major benefit of a data warehouse?Focuses on individual data records to allow for targeted analyticsIntegrates data from multiple sources for analysis and decision makingStores data in real-time only for use within transactional systemsRestricts data sharing across silos within an organisationClear my selection

Question

BlackTom AI · Accepted Answer

A data warehouse centralizes historical, structured data from varied systems to support reporting and business intelligence, so its principal benefit is combining data from many sources to enable analysis and decision making.

1) Relevant knowledge points and concepts
- Data warehouse: an OLAP-oriented repository designed for analytical queries, historical storage, and high-volume read operations.
- ETL/ELT processes: Extract, Transform, Load bring data from multiple operational systems into the warehouse in a consistent schema.
- OLTP vs OLAP: Operational (OLTP) systems focus on real-time transaction processing and individual records; warehouses (OLAP) focus on aggregated, time-series, and cross-source analysis.
- Purpose: support dashboards, trend analysis, forecasting, and enterprise-wide reporting.

2) Step-by-step reasoning
- Compare each option to the core purpose of a data warehouse.
- Option: “Integrates data from multiple sources for analysis and decision making.” This aligns directly with ETL, consolidation, and BI use-cases; warehouses are explicitly built to integrate disparate systems (CRM, ERP, logs) for unified analytics.
- Option: “Focuses on individual data records to allow for targeted analytics.” Warehouses usually de-emphasize single-record transactional detail and instead optimize aggregates, historical snapshots, and complex queries.
- Option: “Stores data in real-time only for use within transactional systems.” Warehouses are not primarily real-time transactional stores; they often use batch or micro-batch loads and serve analytical queries, not transactional workloads.
- Option: “Restricts data sharing across silos within an organisation.” The opposite is true: warehouses break down silos by providing a shared, governed data store.

3) Calculations
- No numerical calculations required; reasoning is conceptual and comparative.

4) Why the correct answer is correct
- Integrating multiple sources is the defining architectural purpose of a data warehouse: it creates a single source of truth for analysis and decision support.

5) Why other options are incorrect (brief)
- First option: mischaracterizes focus—warehouses optimize analytics, not single-record transaction processing.
- Third option: misstates real-time/transactional purpose—warehouses are analytic, not OLTP.
- Fourth option: contradicts the role of a warehouse, which is to enable cross-silo sharing.

Conclusion: The correct answer is “Integrates data from multiple sources for analysis and decision making,” which matches the provided answer.

Similar Questions

Which statement best describes a data warehouse?

The cafe has a POS, a spreadsheet inventory list, and QuickBooks. Each uses different item categories. A team recommends a data warehouse for better reporting instead of ERP integration. Which critique is strongest?

Which environment is best suited for long-term, cross-department trend analysis?

Online analytical processing (OLAP) involves the analysis of accumulated data by end users.

The data in a data warehouse have which of the following characteristics?

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