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Large Enterprise Management

Anna-Greta Erikson

Business Surveys Unit

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Business Surveys Unit

• Decided November 2003, created March 2004

• Goals– Co-ordination– Higher quality, better coherence– Simplify the data provision process for enterprises– Make the collection and editing process more efficient

• Areas of work: 50 largest enterprises, Enterprise relations, Data collection / editing

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The largest enterprises – Key Providers

The main reason to create a new unit focusing on the 50 largest data providers among businesses:

• Quality of statistics dependent on main data providers

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The largest enterprises

The largest enterprises are chosen by looking at the main economic indicators:

• Turnover

• Value added

• Employment

• Production value

• Balance sheet total

Objective: To identify the most important data providers• Large impact on National Accounts – when problems in data

collection and inconsistencies

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Gradually forming the group

Key Provider Managers

• April 2004: 4 persons

• Jan – Dec 2005: 5 – 7 persons

• March 2006: 9 persons

• June 2006: 11 persons

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Step by step forming the tasks

Key Providers:

• 2004: 10 enterprise groups (13 enterprises)

• Jan 2005: 18 enterprise groups (26 enterprises)

• Jan 2006: 45 enterprise groups (56 enterprises)

• Jan 2007: 51 enterprise groups (65 enterprises)

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Gradually forming the practical work (1)

• 2004: Directly work in 3 of the most important sources in National Accounts definitive yearly calculations:• Production• Intermediate consumption• Investments

• Coherence analysis

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Gradually forming the practical work (2)

• 2005: Initiates co-operation with short term statistics:• Sources with up-to-date information• Essential to better use and process the

information

• Higher Quality through more effective use of information

• Reducing the administrative burden

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Gradually forming the practical work (3)

• 2006: Routines of the Key Provider Managers• Documentation• Communication

• Effective use of information

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Expanding Gradually

• Advantages– Get to know one enterprise at the time– Form the tasks to fit the real enterprises– Gradually building up competence in different

statistical areas

• Pitfalls– Restarting the process of building a team of the

key provider managers– Education in several occasions– Impatience of the organisation

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Broad scope of work (1)

• Building a relation with the enterprises

• Offering a single contact point between the statistical office and the enterprise

• Know the enterprise and its group, data capacity and other unique characteristics

• Spread the information of changes within the statistical office

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Broad scope of work(2)

• Continuous update of business register and profiling of statistical units

• Take part in the data collection and editing process

• Resource in the statistical office when solving measurement problems

• Resource when customized solutions are needed

• Coherence analysis – guarantee data consistency in the long run

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Broad scope of work

• Advantages– Really get to know the enterprises– Overall view– Coherence analysis easier when you know the figures– In-depth experience valuable in the profiling work– Learning to see patterns and to recognize traces of

phenomena between enterprises

• Pitfalls– Risk to get caught in the continuing operations– Double loyalty Enterprise vs. NSI