Abstract
With the development of information technology, data quality has become a focus of attention. This study studies the data source, the schema and the instance in telecommunication churn data, put forward different sector has different definition of data quality, as a basis work of data analysis for further study.
Highlights
As a leading telecommunications information industry, own many of the data
How to guarantee the data is true and effective when the customer inquiries, How to let data become wealth, not burdensome. It becomes the goal of telecom operators pursue
‘Data quality refers to the degree of excellence exhibited by the data in relation to the portrayal of the actual scenario’
Summary
As a leading telecommunications information industry, own many of the data. How to guarantee the data is true and effective when the customer inquiries, How to let data become wealth, not burdensome. It becomes the goal of telecom operators pursue. To make the data better for telecommunications services, create more value, telecom enterprise must manage their data; ensure the data is true, accurate and reliable. Data quality problem is the core issue of business intelligence, data quality direct impact on the data results, at present, because of the data from diverse sources, let data quality became complex .Because the object, purpose, use different, the definition of data quality is different
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