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Operational data

Operational data is information representing the events, activities, states, or transactions generated and updated during an organization’s or system’s ongoing operations.

How 2 Manning books explain it

First-Party Data Activation

Operational data is information generated by internal business systems that support routine processes and operations.

How it is used
Uses internal transaction records to identify customer segments and connect marketing activity to sales.
How deep it goes
Places operational business data in a sourcing taxonomy and elaborates transaction uses and measurement practices, without detailing operational system design.
Examples
Shows an apparel brand combining in-store purchases with email engagement to target an online-only offer.
What you can do after
Practice/perform it by linking transaction and campaign records to assess revenue, ROI, and customer lifetime value.

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Data Without Labels

A transaction is one recorded occurrence containing a set of items or events analyzed together for association relationships.

How it is used
Uses transaction records to discover product co-occurrences and support placement, pricing, and marketing decisions.
How deep it goes
Defines transactions, identifiers, item subsets, and binary encoding, then stops short of implementation workflows or rule metrics.
Examples
Uses five supermarket invoices encoded with milk, eggs, bread, and cheese purchase indicators.
What you can do after
Apply transaction matrices to inspect co-occurrences and formulate association rules over item subsets.

Read how Data Without Labels explains operational data →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.