liveBook · Manning

Data integration

As explained in Data for All

The combination of data from multiple sources or categories into a coherent, accessible form.

What could a company learn by connecting where you go, what you browse, and what you buy? Data integration brings separate sources or categories together so they can be used as a larger collection. Digital data makes this far easier than when records were mostly local and paper-based. section 2.7 section 1.0

A fuller picture of grocery spending

In-store and online grocery purchases each show only part of your spending. Combine them and a company can see more of your grocery purchases. Add browsing data to purchase data, and the picture changes again. section 8.6.2

The stakes go beyond convenience. Companies can combine information about you and people you know with sources such as local offers, unemployment figures, and housing data. They can use the result to anticipate situations and time offers around their goals—even when buying more is not in your interest. Analytics matters, but it is the range of data collected and integrated that makes this possible. section 2.5

Integration could also serve goals you choose. A proposed model of specialized data companies would group your data with other data, price those groupings, and help you set changing objectives for its use. Before agreeing to a new use of your data, ask what will be combined, who gains access, and whose objective the combination serves. section 8.6.2 section 2.5

How Data for All covers it

How deep it goes
Explains combinations through everyday examples and business aims, without giving technical integration steps.
Examples
Uses location, browsing, and transaction data, plus combined in-store and online grocery purchases.
What it assumes
Assumes no specialist data-system knowledge, using familiar browsing and shopping activity instead of technical procedures.
What you can do after
Evaluate/understand whose objectives a combined data collection serves and how grouping choices could affect its value.
How it connects
Connects data integration to data collection, analytics, behavioral prediction, targeted offers, and data ownership.

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This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.