Data Cleansing Through QualityStage

Data cleansing is the act of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database

Data cleansing , data analysis and data enrichment process is very helpful in improvig the quality of data. These are very essential for ensuring the your data is complete , accurate and is in a Standard format

During data cleansing, records are checked for accuracy and consistency, and either corrected, or deleted as necessary. Data cleansing can occur within a single set of records, or between multiple sets of data which need to be merged, or which will work together.

At its most simple form, data cleansing involves a person or persons reading through a set of records and verifying their accuracy. Typos and spelling errors are corrected, mislabeled data is properly labeled and filed, and incomplete or missing entries are completed.
In more complex operations, data cleansing can be performed by computer programs. These data cleansing programs can check the data with a variety of rules and procedures decided upon by the user.
QualityStage comprises a set of stages, a Match Designer, and related capabilities that provide a development environment for building data-cleansing tasks called jobs.

Using the stages and design components, you can quickly and easily process large stores of data, selectively transforming the data as needed.

QualityStage provides a set of integrated modules for accomplishing data re-engineering tasks:

* Investigating
* Conditioning (standardizing)
* Designing and running matches
* Determining which data records survive

The probabilistic matching capability and dynamic weighting strategies of QualityStage help you create high-quality, accurate data and consistently identify core business information such as customer, location, and product throughout the enterprise. QualityStage standardizes and matches any type of information. By ensuring data quality,QualityStage reduces the time and cost to implement CRM, business intelligence, ERP, and other strategic customer-related IT initiatives