Traditionally, census data, administrative data and survey data were the dominant data sources in the statistical business process lifecycle. Nowadays, big data constitute an emerging data source, which provides data on a specific process (business data, social network data and other processes). The big question is if survey sampling and design are still necessary in our days. The answer to this question is not only positive but it seems that these methods are more necessary than ever for the preservation of data quality.
Survey design and data sampling focus on the collection of data from a subset of the target population which may or may not be known. In the case of big data, the information is derived from the actual process, whereas in survey collected data specific criteria are set for the relevance and accuracy of the collected data, though the application of survey planning.
Our strong statistical background in combination with our long-time experience in statistical surveys in the field of official statistics and other domains of business life constitute our competitive advantage. Our methodological approach on the implementation of statistical surveys is composed of the following processes:
METHODS
BENEFITS
- Collect data when not available from other sources
- Control accuracy
- Preserve unbiased representativeness
- Estimate target population size
- Cost effective
APPLICATIONS
- Customer satisfaction
- Customer segmentation
- Market awareness
- Purchase awareness
- Demand estimation
- Market Shares
- Completion Analysis
- Clinical trials
- Household surveys
- Retail
- Education
- Business surveys
- Tourism
- Research and development
- Employment surveys
- Ad-hoc surveys
