1 / 16

Central Warehousing Work Session of Friends of the Chair Group Bern, Switzerland 6 – 8 June 2007

Central Warehousing Work Session of Friends of the Chair Group Bern, Switzerland 6 – 8 June 2007 Marie Brodeur/Michel Girard Statistics Canada. Overview. Categories of warehouses Data and analysis Business Intelligence software Comparing data from various sources

anika
Download Presentation

Central Warehousing Work Session of Friends of the Chair Group Bern, Switzerland 6 – 8 June 2007

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Central Warehousing Work Session of Friends of the Chair Group Bern, Switzerland 6 – 8 June 2007 Marie Brodeur/Michel Girard Statistics Canada

  2. Overview • Categories of warehouses • Data and analysis • Business Intelligence software • Comparing data from various sources • Characteristics of data warehouses • Examples

  3. IntegrationSuite of centralized tools • Collection – Processing – Analysis • PIPES – Improving provincial statistics • Improving consistency • Improving coherence • Story using data from various sources • Coherence among surveys, entities… • Breadth and depth of business survey data

  4. IntegrationStatistical agencies • Ability to validly compare data and aggregate statistics across industries and/or institutional sectors and/or other aspects of economic interest • Rely on standardization • Standard units • Standard classifications • Common analytical framework

  5. Warehouse • Link with source data at the cell level • Even at the micro level • Common classifications/concordances • Source data are treated according to same concepts and definitions • Promote integration not only reconciliation • Capacity to show adjustments

  6. WarehousingEvolution of the concept • Unified Survey Tracking, Analysis and Retrieval Tool (U-START) • SNA Analytical Warehouse (SNA AW) • CANSIM (STC Dissemination) • Tabulations and metadata • Focus is on aggregate data • Issue with comparability

  7. U-START • Philosophy • Contains survey and administrative data • Feeding CSNA from one central point • Coherence of analysis • Residential construction/wood production • Feeding CSNA analytical output

  8. U-START • Point and click access to data and metadata • Collection, edit, imputation and estimation phase • A data/document querying tool • Including questionnaire image • Quick access to user defined static report • Frequency reports, grouped tabulations, contribution reports • Ability to summarize large databases • Drill down - macro to micro and navigation • Exporting tool: off-the-shelf software/databases • Links to analytical outputs/survey notes or information (Corporate knowledge)

  9. SNA WarehouseBeing implemented… • Accessing source data and metadata • Common way to manipulate the data • Not a place to process • Excellent to compute consistently derived statistics • Analytical tool • Promoting common judgment • Dealing with new staff • Facilitate integration not only reconciliation

  10. U-START and SNA Warehouse • Quick access to data • Learning tool • Consistency of derived statistics • Capacity to analyze data at various stages of production • Adjustments • Promote coherence • Must work on documentation aspects

More Related