Magda Slootbeek-van Laar and Johan Lammers

Event driven processing

Regular versus eventdriven

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Regular versus eventdriven

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Faster figures

– Nowadays people want to be informed in a fast way about events in the society

– Statistics Netherlands provides daily information on our society

– However not related to current events – In a Proof of Concept it is shown the possibility to

respond to current events in a statistical process

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Proof Of Concept (POC)

– Events (administrative events): daily entry and exit-registration of companies at the Chambers of Commerce

– Statistical Process: compilation of the economic demography, being redesigned from yearly survey to a yearly/quarterly statistic based on registerdata, mainly on the General Business Registry (GBR)

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Sourceinformation GBR

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Process

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Research input ↔ output

– Input → output relation administrative events and entries / exits in the frame – Output → input entries and exits in the frame with/without relation to Single Business Register (SBR)

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Timeseries input SBR

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0

5000

10000

15000

20000

25000

1 2 3 4 5 6 7 8 9 10

11

12 1 2 3 4 5 6 7 8 9 10

11

12 1 2 3 4 5 6 7 8 9 10

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12 1 2 3 4 5 6 7 8 9 10

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12 1 2 3 4 5 6 7 8 9 10

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12 1 2 3 4

2.007 2.008 2.009 2.010 2.011 2.012

Number of administrative entries

101A

101C

101D

150M

New entries in the frame, with/without relation to SBR

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Related SBR

Y

N

Average penetration new entries per type of event

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Realization and estimation of new entries, related to SBR

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Values

Conclusion

– Administratieve events are usuable in event driven processing

– Possible to improve the timeliness dramatically – Quality can be improved by fitting the estimation model

and/or by adding new types of events

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