Survey data management is very necessary to manage the complete data lifecycle of an organization. Only surveys can indicate the growing demands on data management groups in terms of data quality, service, and usability. Nowadays a number of firms are exploring ways to outsource almost complete data management operations in order to provide the best quality data in a cost effective manner.Data management is the development and carrying out of various architectures, policies and procedures. Many topics like data modeling, data mining, data warehousing, data quality assurance, architecture, security etc are included in data management.
Some key areas of survey data management are:
- Database development(online and offline)
- Survey processing services
- Survey data integration
The main goal of any data management is to ensure that the data and programs are archived and maintained in a secure manner which accurately and precisely reflects the data and the intended purpose of the analysis programs. As data management and risk management has close connection, improving data quality is regarded as the key issue for efficient risk management. Effective data management provides consistent information that enables the enterprises to act and operate effectively and accurately measure performance.
A good survey data management requires periodical survey projects that can effectively integrate the secondary data sources with the survey respondent data. As a company’s corporate data is a main asset, it focuses on survey data management, besides data storage, retrieval, analysis, aggregation and other services.