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Uses of OLAP; OLAP vs OLTP

Short answer

OLAP is used for multidimensional business analysis, reporting, budgeting, forecasting, what-if analysis, exception finding, and supporting data mining. OLTP handles daily short transactions with current detailed normalised data, while OLAP handles complex queries over historical summarised multidimensional data.

What are the uses of OLAP? Compare OLAP with OLTP.

Uses of OLAP

  • Multidimensional analysis of business data (sales by product, region and time).
  • Reports, dashboards and executive information.
  • Budgeting, planning and forecasting.
  • Trend and what-if analysis, comparing actual and target.
  • Finding exceptions and areas needing attention using drill-down.
  • Supports data mining by providing summarised, clean multidimensional data.
  • Applications: sales and marketing analysis, financial reporting, customer profitability, inventory and supply chain analysis.

OLAP vs OLTP

PointOLTPOLAP
PurposeDay-to-day transactionsAnalysis, decision support
UsersClerks, clients, DBAsManagers, analysts, executives
DataCurrent, detailed, flat relationalHistorical, summarised, multidimensional
Database designER model, normalised, application-orientedStar/snowflake, subject-oriented
AccessRead/write, short transactionsMostly read, complex queries
Unit of workShort, simple transactionComplex query with aggregates
Records per accessTensMillions
Number of usersThousandsHundreds
DB sizeMB to GBGB to TB
MetricTransaction throughputQuery response time

✓ Answer checked by Claude Opus 5.5 (high effort)

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