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"Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. ... Data models provide a framework for data to be used within information systems by providing specific definition and format" (Wikipedia).
In the context of business intelligence, we can think of data modeling a bit differently. "Data modeling is a way of mapping out and visualizing all the different places that software or an application stores information, and how these sources of data fit together and flow into one another" (Sisense). "It starts with the clear understanding of the business, its purposes, and how the data will be used to support the business" (Mythics). "The main principles to focus on are: 1) finding out what people want, 2) giving people what they want, and most importantly, 3) mak[ing] sure it is relevant for them" (Database Trends and Applications).
More from the data glossary
A definitive guide to data definitions and trends, from the team at Stitch.
- Analytics
- Big data
- Business intelligence (BI)
- Common table expression
- Data analytics
- Data architecture
- Data engineering
- Data enrichment
- Data exploration
- Data ingestion
- Data integration
- Data lake
- Data migration
- Data mining
- Data modeling
- Data pipeline
- Data preparation
- Data science
- Data visualization
- Data warehouse
- Data Wrangling: Definition and Examples
- Database
- Deduplication
- ELT
- ESB - What is an Enterprise Service Bus?
- ETL
- ETL pipeline
- Information lifecycle management (ILM)
- Machine learning
- Master data management (MDM)
- SaaS
- Service-oriented architecture (SOA)
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