Data Cleansing Strategy and Implementation

A number of data warehousing projects fail or are shelved due to poor data quality and integrity. Without the highest levels of data quality, line executives cannot rely on the data your business generates for tactical and strategic decisions. Data warehouse, data quality directly influences an organization's productivity, internal and external customer satisfaction, and the perception of reliability of the IT department.

Often a complete customer views can only be achieved through name and address matching. This is a universally acknowledged source of poor quality data. Robust solutions require two key elements. The first to provide external quality reference data used to validate, correct and enrich internal records, the second so that matching and survivorship software can match and merge customer data between different systems.

Data is constantly changing. Therefore, quality assurance should be engineered as part of a well designed cleansing strategy. A cleansed, organized, unified, accessible, well tuned and documented data warehouse is an integral part of any business intelligence solution. A well-defined BI solution will be scalable, easily enhanced and support the short and long term objectives of every decision maker within the organization.

Using industry leading data transformation and cleansing tools, like DataStream, 5x Technology can extract your company's data from a variety of relational and non-relational sources, cleanse, transform, unify and load it into any relational, ODBC or JDBC database.