Business intelligence, data warehousing and data analytics get confused constantly. Here is what each really means and five clear differences between them.
Business and data are simply inseparable. Yet three concepts central to modern decision-making, business intelligence, data warehousing and data analytics, are often confused because their definitions and applications overlap in conversation while differing sharply in practice. Clarifying what each one does helps organizations use them together effectively.
Defining the Three Disciplines
Business intelligence is the collective technologies and applications for the collection, integration, analysis and presentation of business data, enabling data-driven decisions. Data warehousing is a subject-oriented, integrated, time-variant and non-volatile collection of data designed to support management decisions through organized storage. Data analytics is the science of studying and analyzing raw data using automated processes and algorithms to transform information into actionable insights.
Five Key Differences
- Data quantifier terms: BI uses charts and graphs, warehousing measures storage capacity in bytes and terabytes, and analytics applies mathematical formulas and statistical methods.
- Study tool sets: BI relies on dashboards and presentations, warehousing on data collection and storage, and analytics on hypothesis testing and regression analysis.
- Application approach: BI analyzes historical and current trends, warehousing progressively collects subject-oriented data, and analytics follows step-by-step examination for precise conclusions.
- Expert handling levels: BI requires business manager proficiency, warehousing involves data collection management, and analytics demands higher mathematical expertise from data scientists.
- System types: BI spans strategic and operational variants, warehousing includes enterprise warehouses and data marts, and analytics covers descriptive, predictive, prescriptive and diagnostic types.
Conclusion
Despite their differences, all three disciplines share the same ultimate goal: to study the data and arrive at the most practical and best business decision. Used together, business intelligence, data warehousing and data analytics support organizational prosperity through solid, evidence-based analysis.