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Magda Slootbeek-van Laar and Johan Lammers

Event driven processing. Magda Slootbeek-van Laar and Johan Lammers. Regular versus eventdriven. Regular versus eventdriven. Faster figures. Nowadays people want to be informed in a fast way about events in the society

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Magda Slootbeek-van Laar and Johan Lammers

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  1. Event driven processing Magda Slootbeek-van Laar and Johan Lammers

  2. Regular versus eventdriven

  3. Regular versus eventdriven

  4. Fasterfigures • Nowadayspeople want tobeinformed in a fast way about events in the society • Statistics Netherlands providesdaily information on our society • Howevernotrelatedtocurrent events • In a Proof of Concept it is shown the possibilitytorespondtocurrent events in a statisticalprocess

  5. Proof Of Concept (POC) • Events (administrative events): daily entry and exit-registration of companies at the Chambers of Commerce • Statistical Process: compilation of the economicdemography, beingredesignedfromyearly survey to a yearly/quarterlystatisticbased on registerdata, mainly on the General Business Registry (GBR)

  6. Sourceinformation GBR

  7. Process

  8. Research input ↔ output • Input → output relationadministrative events and entries / exits in the frame • Output → input entries andexits in the frame with/without relationto Single Business Register (SBR)

  9. Timeseries input SBR

  10. New entries in the frame, with/without relationto SBR Related SBR Y N

  11. Averagepenetration new entries per type of event

  12. Realization and estimation of new entries, related to SBR Values

  13. Conclusion • Administratieve events are usuable in event driven processing • Possibletoimprove the timelinessdramatically • Qualitycanbeimprovedby fitting the estimation model and/or byadding new types of events

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