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Integrated Business Statistics Program (IBSP) Introduction Daniela Ravindra Director, Enterprise Statistics Division November 9th, 2010.

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Presentation on theme: "Integrated Business Statistics Program (IBSP) Introduction Daniela Ravindra Director, Enterprise Statistics Division November 9th, 2010."— Presentation transcript:

1 Integrated Business Statistics Program (IBSP) Introduction Daniela Ravindra Director, Enterprise Statistics Division November 9th, 2010

2 Statistics Canada Statistique Canada 2 Overview  What is the IBSP?  Drivers for change  Building on an existing model  Objectives of the initiative  Project plan

3 Statistics Canada Statistique Canada 3 What is the IBSP?  General model for producing business data Covers all aspects of survey Modular approach Accommodate most business surveys Uses as much as possible already existing approaches and generalized systems

4 Statistics Canada Statistique Canada 4 Drivers For Change  IT infrastructure rusted out systems proliferation of systems lack of robustness  Lack of responsiveness to clients’ needs  Many commonalities between business surveys  Maintain relevance/Corporate Business Architecture Need to develop more efficient approaches

5 Building On An Existing Model  Based on the existing UES model  Incorporate lessons learned Need to streamline Need to consolidate different processing models Introduce and support stronger governance model  Incorporate new methodologies  Introduce more flexibility into the system to respond to changing clients’ needs Statistics Canada Statistique Canada 5

6 6 High Level Objectives  Reduce development and maintenance costs  maximize the use of generalized systems for survey production  Develop a modular system  Simplify processes, reduce the learning curve and improve timeliness  establish a common editing strategy for automated and manual editing

7 Statistics Canada Statistique Canada 7 High Level Objectives (continued)  Modernization of processes  multi-modal collection with Electronic Data Collection as the principal mode of collection  Reduce response burden and realize efficiencies  maximize the use of tax data for the estimation of financial information  active collection management  Integration  promote the full use of the Business Register as the frame for all business surveys

8 Statistics Canada Statistique Canada 8 PHASE 1 ProgramFiscal Year to Start Integration 58 Existing UES surveys2013 CAPEX surveys (actual, preliminary and intentions) – 2 survey periods 2013 PHASE 2 22 Energy surveys (13 annual, 2 quarterly and 7 monthly) Transportation surveys (Annual and quarterly Trucking Financial and Passenger Bus) 2014 RDCI (Research & Development in Canadian Industries) 2014 PHASE 3 30 Agriculture surveys IOFD program (Enterprise Financial Statistics made up of 3 surveys - Quarterly Survey of Financial Statements, Annual Financial and Taxation Statistics and Survey of Suppliers of Business Financing) 2015 Integrating New Surveys - Schedule

9 Challenges With Respect To Integration  Integrate both annual and sub-annual surveys  Some surveys have particularities: balancing systems  Scope creep  Standardize methods and processes across so many programs Statistique Canada Statistics Canada 9

10 Frame  Hook all surveys to the Business Register Statistique Canada Statistics Canada 10 Business Register Integration ProgramYear of Integration CAPEX Energy Transport Farm Register

11 Sampling  Objectives: Target commodities and characteristics Designed for both industry and activity based and surveys  Work to date: Tested one and two phase sample approaches Examined pro and cons of each approach  Challenges: Operationalize the two-phase approach (need to test) Minimize response burden Determine sampling variables allowing for targeting commodities and/or characteristics Statistique Canada Statistics Canada 11

12 Content  Objective: standardize and harmonize content produce a modular questionnaire Maximize use of tax data  Work to date: Reviewed all UES and CAPEX content Tested all new CAPEX concepts Produced draft questionnaires  Challenges: Determine frequency of collection Determine tax replacement Statistique Canada Statistics Canada 12

13 Collection  Objective: Use electronic questionnaire as primary mode of collection Focus on collecting characteristics and commodities Active collection management for a more efficient process  Use quality indicators to prioritize  Work to date: Produced process model for active collection management Plan for parallel run from June to September 2011 Evaluated existing questionnaire development tool  Challenges: Harvest efficiencies while maintaining data quality Manage collection workload Keep process simple Statistique Canada Statistics Canada 13

14 Post-Collection Processing  Objective: Use of a common editing strategy Integrate subject-matter and SNA needs  Work to date: Proposal for new process flow  Implement an iterative rather than a linear process Evaluated different existing tools  Challenges: Keep edits to minimum required Optimize manual editing Design efficient process that allows for processing of large number of surveys Statistique Canada Statistics Canada 14

15 Analysis  Objective: Standardize analytical process Integrate subject-matter and SNA needs  Work to date: Conducted consultations and proposed approach Evaluated different existing analytical tools  Challenges: Meet vast array of requirements Re-use existing tools Deal with break in series Statistique Canada Statistics Canada 15


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