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Business intelligence

As explained in Delivering Machine Learning Projects: From design to deployment

Business intelligence is the analysis and presentation of business data to support organizational understanding and decision-making.

Business intelligence turns business data into an overview that helps management understand operations and make decisions. Fragmented systems can prevent that overview even when the data exists. section 3.5

The Bike Shop

The Bike Shop’s SaaS and on-premise systems cannot provide management with a single view of the business. During pre-sales, the team clarifies the underlying priorities: reduce spending, retain customers, and manage demand. Those priorities also suggest possible data-driven work on churn risk and interventions, but they do not yet define a business intelligence application. section 3.5

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Identifies the need for a single overview but does not specify a business intelligence implementation.
Examples
Uses a retailer whose existing systems cannot produce a single view of its business.
What you can do after
Evaluate/understand it as a business requirement before proposing data-driven applications.
How it connects
Connects business intelligence to fragmented IT systems, cloud migration, customer retention, and demand management.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.