Even after committed data quality assurance of the company's requirement, introducing a corporate data cleansing services can be a discouraging job. With only few reliable resource constraints and working challenging priorities may arise in the way. The other great way to generate a force on data cleansing services program is to begin with data profiling. A data profiling exercise can easily start your data cleansing services campaign by:

• Representation of focus to detailed quality issues in your organisation's existing data stores and issues with that.
• Identifying data domains where application of data quality services will yield the most immediate and substantial benefits for analysis requirement

When Data profiling results are presented in reports and graphs that show clearly where the data quality deficiencies are and where data cleansing services are most needed to simplify the process for better data quality. Data quality tools that make it easy to design and build data quality processes are as below:

• Normalisation of data
• Corresponding and de-duplication of data
• Enrichment based on reference data
• Reporting and tracking against customisable key performance indicators.

As you can deploy your data quality processes as one-time or scheduled process, or as data cleansing services within a service-oriented architecture.