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  • Articles and reports: 75-001-X200911113239
    Geography: Canada
    Description:

    In 2008, job stability in manufacturing was at its second-lowest level in 27 years, and stability rates between manufacturing and non-manufacturing have never differed so much. Manufacturing workers experienced significant drops in their stability rates regardless of tenure in the firm. The difference in unemployment duration between ex-workers in manufacturing and non-manufacturing has also never been so high.

    Release date: 2009-12-17

  • Journals and periodicals: 85-571-X
    Geography: Canada
    Description:

    This report provides an overview of the first available data on business fraud in Canada focusing on businesses in the retail, banking and insurance sectors. Data used in this report are from the Survey of Fraud against Businesses, 2007-2008. The Survey of Fraud against Businesses provides national-level data on the prevalence and types of fraud experienced, how businesses respond to incidents of fraud, the monetary and non-monetary costs of fraud and fraud detection and prevention practices.

    Release date: 2009-12-10

  • Articles and reports: 11-522-X200800010939
    Description:

    A year ago, Communications and Operations field initiated what is considered as Statistics Canada's first business architecture activity. This concerted effort was focused on collection related activities and processes, and was conducted over a short period during which over sixty STC senior and middle managers were consulted.

    We will introduce the discipline of business architecture, an approach based on "business blueprints" to interface between enterprise needs and its enabling solutions. We will describe the specific approach used to conduct Statistics Canada Collection Business Architecture, summarize the key lessons learned from this initiative, and provide an update on where we are and where we are heading.

    We will conclude by illustrating how this approach can serve as the genesis and foundation for an overall Statistics Canada business architecture.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010967
    Description:

    In this paper the background of the eXtensible Business Reporting Language and the involvement of Statistics Netherlands in the Dutch Taxonomy Project are discussed. The discussion predominantly focuses on the statistical context of using XBRL and the Dutch Taxonomy for expressing data terms to companies.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010983
    Description:

    The US Census Bureau conducts monthly, quarterly, and annual surveys of the American economy and a census every 5 years. These programs require significant business effort. New technologies, new forms of organization, and scarce resources affect the ability of businesses to respond. Changes also affect what businesses expect from the Census Bureau, the Census Bureau's internal systems, and the way businesses interact with the Census Bureau.

    For several years, the Census Bureau has provided a special relationship to help large companies prepare for the census. We also have worked toward company-centric communication across all programs. A relationship model has emerged that focuses on infrastructure and business practices, and allows the Census Bureau to be more responsive.

    This paper focuses on the Census Bureau's company-centric communications and systems. We describe important initiatives and challenges, and we review their impact on Census Bureau practices and respondent behavior.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010984
    Description:

    The Enterprise Portfolio Manager (EPM) Program at Statistics Canada demonstrated the value of employing a "holistic" approach to managing the relationships we have with our largest and most complex business respondents.

    Understanding that different types of respondents should receive different levels of intervention and having learnt the value of employing an "enterprise-centric" approach to managing relationships with important, complex data providers, STC has embraced a response management strategy that divides its business population into four tiers based on size, complexity and importance to survey estimates. Thus segmented, different response management approaches have been developed appropriate to the relative contribution of the segment. This allows STC to target resources to the areas where it stands to achieve the greatest return on investment. Tier I and Tier II have been defined as critical to survey estimates.

    Tier I represent the largest, most complex businesses in Canada and is managed through the Enterprise Portfolio Management Program.

    Tier II represents businesses that are smaller or less complex than Tier I but still significant in developing accurate measures of the activities of individual industries.

    Tier III includes more medium-sized businesses, those that form the bulk of survey samples.

    Tier IV represents the smallest businesses which are excluded from collection; for these STC relies entirely on tax information.

    The presentation will outline:It works! Results and metrics from the programs that have operationalized the Holistic Response Management strategy.Developing a less subjective, methodological approach to segment the business survey population for HRM. The project team's work to capture the complexity factors intrinsically used by experienced staff to rank respondents. What our so called "problem" respondents have told us about the issues underlying non-response.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010985
    Description:

    In Canada, although complex businesses represent less than 1% of the total number of businesses, they contribute more than 45% of the total revenue. Statistics Canada recognized that the quality of the data collected from them is of great importance and has adopted several initiatives to improve the quality. One of the initiatives is the evaluation of the coherence of the data collected from large, complex enterprises. The findings of these recent coherence analyses have been instrumental in identifying areas for improvement. These, once addressed and improved, would be increasing the quality of the data collected from the large, complex enterprises while reducing the response burden imposed on them.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010987
    Description:

    Over the last few years, there have been large progress in the web data collection area. Today, many statistical offices offer a web alternative in many different types of surveys. It is widely believed that web data collection may raise data quality while lowering data collection costs. Experience has shown that, offered web as a second alternative to paper questionnaires; enterprises have been slow to embrace the web alternative. On the other hand, experiments have also shown that by promoting web over paper, it is possible to raise the web take up rates. However, there are still few studies on what happens when the contact strategy is changed radically and the web option is the only option given in a complex enterprise survey. In 2008, Statistics Sweden took the step of using more or less a web-only strategy in the survey of industrial production (PRODCOM). The web questionnaire was developed in the generalised tool for web surveys used by Statistics Sweden. The paper presents the web solution and some experiences from the 2008 PRODCOM survey, including process data on response rates and error ratios as well as the results of a cognitive follow-up of the survey. Some important lessons learned are also presented.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800011004
    Description:

    The issue of reducing the response burden is not new. Statistics Sweden works in different ways to reduce response burden and to decrease the administrative costs of data collection from enterprises and organizations. According to legislation Statistics Sweden must reduce response burden for the business community. Therefore, this work is a priority. There is a fixed level decided by the Government to decrease the administrative costs of enterprises by twenty-five percent until year 2010. This goal is valid also for data collection for statistical purposes. The goal concerns surveys with response compulsory legislation. In addition to these surveys there are many more surveys and a need to measure and reduce the burden from these surveys as well. In order to help measure, analyze and reduce the burden, Statistics Sweden has developed the Register of Data providers concerning enterprises and organization (ULR). The purpose of the register is twofold, to measure and analyze the burden on an aggregated level and to be able to give information to each individual enterprise which surveys they are participating in.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800011014
    Description:

    In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.

    Release date: 2009-12-03
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Analysis (19)

Analysis (19) (0 to 10 of 19 results)

  • Articles and reports: 75-001-X200911113239
    Geography: Canada
    Description:

    In 2008, job stability in manufacturing was at its second-lowest level in 27 years, and stability rates between manufacturing and non-manufacturing have never differed so much. Manufacturing workers experienced significant drops in their stability rates regardless of tenure in the firm. The difference in unemployment duration between ex-workers in manufacturing and non-manufacturing has also never been so high.

    Release date: 2009-12-17

  • Journals and periodicals: 85-571-X
    Geography: Canada
    Description:

    This report provides an overview of the first available data on business fraud in Canada focusing on businesses in the retail, banking and insurance sectors. Data used in this report are from the Survey of Fraud against Businesses, 2007-2008. The Survey of Fraud against Businesses provides national-level data on the prevalence and types of fraud experienced, how businesses respond to incidents of fraud, the monetary and non-monetary costs of fraud and fraud detection and prevention practices.

    Release date: 2009-12-10

  • Articles and reports: 11-522-X200800010939
    Description:

    A year ago, Communications and Operations field initiated what is considered as Statistics Canada's first business architecture activity. This concerted effort was focused on collection related activities and processes, and was conducted over a short period during which over sixty STC senior and middle managers were consulted.

    We will introduce the discipline of business architecture, an approach based on "business blueprints" to interface between enterprise needs and its enabling solutions. We will describe the specific approach used to conduct Statistics Canada Collection Business Architecture, summarize the key lessons learned from this initiative, and provide an update on where we are and where we are heading.

    We will conclude by illustrating how this approach can serve as the genesis and foundation for an overall Statistics Canada business architecture.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010967
    Description:

    In this paper the background of the eXtensible Business Reporting Language and the involvement of Statistics Netherlands in the Dutch Taxonomy Project are discussed. The discussion predominantly focuses on the statistical context of using XBRL and the Dutch Taxonomy for expressing data terms to companies.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010983
    Description:

    The US Census Bureau conducts monthly, quarterly, and annual surveys of the American economy and a census every 5 years. These programs require significant business effort. New technologies, new forms of organization, and scarce resources affect the ability of businesses to respond. Changes also affect what businesses expect from the Census Bureau, the Census Bureau's internal systems, and the way businesses interact with the Census Bureau.

    For several years, the Census Bureau has provided a special relationship to help large companies prepare for the census. We also have worked toward company-centric communication across all programs. A relationship model has emerged that focuses on infrastructure and business practices, and allows the Census Bureau to be more responsive.

    This paper focuses on the Census Bureau's company-centric communications and systems. We describe important initiatives and challenges, and we review their impact on Census Bureau practices and respondent behavior.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010984
    Description:

    The Enterprise Portfolio Manager (EPM) Program at Statistics Canada demonstrated the value of employing a "holistic" approach to managing the relationships we have with our largest and most complex business respondents.

    Understanding that different types of respondents should receive different levels of intervention and having learnt the value of employing an "enterprise-centric" approach to managing relationships with important, complex data providers, STC has embraced a response management strategy that divides its business population into four tiers based on size, complexity and importance to survey estimates. Thus segmented, different response management approaches have been developed appropriate to the relative contribution of the segment. This allows STC to target resources to the areas where it stands to achieve the greatest return on investment. Tier I and Tier II have been defined as critical to survey estimates.

    Tier I represent the largest, most complex businesses in Canada and is managed through the Enterprise Portfolio Management Program.

    Tier II represents businesses that are smaller or less complex than Tier I but still significant in developing accurate measures of the activities of individual industries.

    Tier III includes more medium-sized businesses, those that form the bulk of survey samples.

    Tier IV represents the smallest businesses which are excluded from collection; for these STC relies entirely on tax information.

    The presentation will outline:It works! Results and metrics from the programs that have operationalized the Holistic Response Management strategy.Developing a less subjective, methodological approach to segment the business survey population for HRM. The project team's work to capture the complexity factors intrinsically used by experienced staff to rank respondents. What our so called "problem" respondents have told us about the issues underlying non-response.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010985
    Description:

    In Canada, although complex businesses represent less than 1% of the total number of businesses, they contribute more than 45% of the total revenue. Statistics Canada recognized that the quality of the data collected from them is of great importance and has adopted several initiatives to improve the quality. One of the initiatives is the evaluation of the coherence of the data collected from large, complex enterprises. The findings of these recent coherence analyses have been instrumental in identifying areas for improvement. These, once addressed and improved, would be increasing the quality of the data collected from the large, complex enterprises while reducing the response burden imposed on them.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010987
    Description:

    Over the last few years, there have been large progress in the web data collection area. Today, many statistical offices offer a web alternative in many different types of surveys. It is widely believed that web data collection may raise data quality while lowering data collection costs. Experience has shown that, offered web as a second alternative to paper questionnaires; enterprises have been slow to embrace the web alternative. On the other hand, experiments have also shown that by promoting web over paper, it is possible to raise the web take up rates. However, there are still few studies on what happens when the contact strategy is changed radically and the web option is the only option given in a complex enterprise survey. In 2008, Statistics Sweden took the step of using more or less a web-only strategy in the survey of industrial production (PRODCOM). The web questionnaire was developed in the generalised tool for web surveys used by Statistics Sweden. The paper presents the web solution and some experiences from the 2008 PRODCOM survey, including process data on response rates and error ratios as well as the results of a cognitive follow-up of the survey. Some important lessons learned are also presented.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800011004
    Description:

    The issue of reducing the response burden is not new. Statistics Sweden works in different ways to reduce response burden and to decrease the administrative costs of data collection from enterprises and organizations. According to legislation Statistics Sweden must reduce response burden for the business community. Therefore, this work is a priority. There is a fixed level decided by the Government to decrease the administrative costs of enterprises by twenty-five percent until year 2010. This goal is valid also for data collection for statistical purposes. The goal concerns surveys with response compulsory legislation. In addition to these surveys there are many more surveys and a need to measure and reduce the burden from these surveys as well. In order to help measure, analyze and reduce the burden, Statistics Sweden has developed the Register of Data providers concerning enterprises and organization (ULR). The purpose of the register is twofold, to measure and analyze the burden on an aggregated level and to be able to give information to each individual enterprise which surveys they are participating in.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800011014
    Description:

    In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.

    Release date: 2009-12-03
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