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One person, many systems
Four ways to give many systems one person. Search before you create, and choose the lightest way that solves the problem.
Topics › Master and reference data › The same one, everywhere
A hub at work: rules act, AI suggests, people decide, and everything can be explained and undone
Over a weekend, 1,240 changes reach the university's hub from four systems. Its rules match nearly all of them, and 8 too close to call wait for Mei. The first is Rafael, a graduate applying for a master's: his application looked for him first, and waited instead of making a new number. The hub shows why the rules gave the match 74, an AI helper drafts a note that suggests, and Mei decides, with her reason kept and one step to undo it. The change is published for each system to read, the alumni office never sees his birth date, and on Friday a blind check of the week's automatic links keeps the rules honest. Five questions to ask any hub close the film.
Builds on One person, many systems
Watch the film
Press Play, or pick a chapter. Turn on Pause and think to stop for one question at the end of chapters.
Download the videoCaption filesRead the script
Where next?
You've seen a hub at work.
Think it through
The four Pause and think questions, for a class or a team. Open one to see the answer.
Take it apart, then make the call
This film's labs, and its situations, among the series' 29 labs and 72 situations. Your progress stays in this browser.
Take it apart: One review, end to end →Take it apart: Rules, AI or a person?Take it apart: Choose a hubMake the call: 8 situationsEvery lab
In the series: The same one, everywhere
Film 8 of 9.
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Kept, not cleaned
A clean-up merged two thousand duplicates, and a year later there were eleven hundred new ones. Check at entry, measure every day, and keep it.