Written with AI assistance.
What is a data platform?
A data platform collects and processes data from one or more sources for purposes such as analysis and reporting. It can provide a common basis for comparing information across systems and over time.
Operational systems support everyday tasks, such as recording customers and orders. An analytics platform prepares the data for different questions, such as changes in sales or differences between customer segments. Historical data retention must be planned and implemented; it is not automatic in every platform.
Assess the need against the decisions the organisation has to make. Clarify data sources, definitions, update requirements, access and responsibility for quality before selecting a technical solution.
Ask a question or share what helped you.
Analytics and insight | Questions and answers
A field that uniquely identifies an entry in addition to the system's own ID. Essential for imports and integrations.
Analytics and insight | Questions and answers
Rarely. They often make up most of the data volume and are almost never used, and they can bring personal data with them into a new system.
Analytics and insight | Questions and answers
The semantic model is the data foundation on which the reports are built—tables, relationships, and measures. It determines whether the figures are correct.
Analytics and insight | Questions and answers
Because people write names and addresses in many different ways, and because an incorrect match is worse than no match.
Sales | Questions and answers
Charts in Dynamics 365 are fast and built into the system. Power BI combines multiple sources and supports more complex analysis.
Analytics and insight | Questions and answers
Three licensing models with different prices and limits. The choice depends on how many people will read the reports, not just how many will create them.

Automation | Article
OpenAI’s Data agent could investigate company data and build shareable interactive dashboards. Access controls and source trails needed to follow analysis and action through the workflow.

Automation | Article
Power BI reports and semantic models became grounding in Copilot Chat and Cowork. Shared chats, synced notebooks and Planner status connected analysis with collaboration.

Project management | Article
Copilot Notebooks and Cowork gained more ways to share project context. Agent metrics and cost controls expanded in the admin centre.

Automation | Article
Copilot administrators gained central controls for consumption-based cost. Purview controls extended to Cowork, and agent metrics could connect with organisational context.

Project management | Article
Federated connectors could retrieve live SaaS data through MCP. Copilot Notebooks gathered project context while Word and Teams gained collaboration features.

Field Service | Article
Microsoft published April news for manufacturing, Power Platform, Planner and Power BI. Together, the releases show how automation and analytics can support field work when project accountability, data quality and human control are clear.
Share a question or reflection.
Be the first to contribute.