02 — Capability · BC-750
Data & Analytics
Treat data as an asset the enterprise can trust and use — governed, modeled, moved, mastered and turned into reports and analysis that decisions are actually made on.
- Data Management
- Business Intelligence
- Analytics
- Information Management
In scope
- Data ownership, policy, quality and the catalog that makes data findable
- Data architecture, integration pipelines and the platforms that hold the data
- Master and reference data shared across systems
- Reporting, dashboards and advanced analysis for business decisions
Out of scope
- Machine learning platforms and model operations at scale (see BC-770)
- Transactional application data design inside a single system (see BC-720)
- Product-usage analytics for a software product business (see BC-1260)
Realized by · 10
- Salesforce · Platformstrong via BC-750.50.10
- Microsoft 365 · Microsoft Purviewpartial via BC-750.10
- Microsoft 365 · Power Platformstrong via BC-750.50.30
- Jira · Reports and Dashboardspartial via BC-750.50.10
- Snowflake · Data Warehousecore via BC-750.30.40
- Snowflake · Data Engineeringstrong via BC-750.30.20
- Snowflake · Data Sharing and Marketplacecore via BC-750.30.10
- Snowflake · Governancestrong via BC-750.10
- Snowflake · Snowflake Cortexemerging via BC-750.60
- Snowflake · Streamlit and Native Appspartial via BC-750.50.30
Used in · 0
- Not yet placed on a value stream.
Build it · 17
- pattern Sharding via BC-750.20.20
- pattern Bounded Context via BC-750.20.10
- pattern Event Sourcing via BC-750.20.20
- pattern CQRS via BC-750.20.20
- pattern Transactional Outbox via BC-750.30.10
- pattern Change Data Capture via BC-750.30.10
- pattern Schema Registry via BC-750.10.20
- pattern Data Mesh via BC-750.10.10
- pattern Medallion Lakehouse Layering via BC-750.30.20
- stack Open lakehouse analytics platform via BC-750.30
- book Software Architecture: The Hard Parts via BC-750.20
- book Domain-Driven Design via BC-750.20
- book Designing Data-Intensive Applications via BC-750.20
- book Data Mesh via BC-750.10
- book Fundamentals of Data Engineering via BC-750.30
- book Streaming Systems via BC-750.30
- book Database Internals via BC-750.20
Decomposes into · 6
- BC-750.10Data Governance & StewardshipAssign ownership for the data that matters, set the rules for how it is defined, used and protected, and measure its quality, so people can trust the numbers they are shown.
- BC-750.20Data Architecture & ModelingDecide how data is structured, where it lives and how it flows between stores, so analytical and operational uses share one understanding of what a customer, product or order is.
- BC-750.30Data Engineering & PipelinesBuild and run the pipelines that collect, clean, transform and deliver data to where it is used, reliably enough that a missing load is an incident rather than a normal morning.
- BC-750.40Master & Reference DataHold one agreed version of the entities many systems share — customers, products, suppliers, locations, code lists — and distribute it so every system is talking about the same thing.
- BC-750.50Business Intelligence & ReportingDeliver the reports, dashboards and self-service tools that show the business how it is doing, built on shared definitions so two dashboards never disagree about revenue.
- BC-750.60Advanced AnalyticsApply statistical and analytical methods to business questions — forecasting, segmentation, optimization, experiment analysis — and deliver the results in a form the decision maker can act on.