Data Cleansing Services

Data cleansing otherwise called as data scrubbing is the process of detecting and correcting inaccurate records from a set, table or database. This may involve removing typographical errors or correcting values against a known list of entities. In today’s competitive world, incorrect data can be costly for a customer and this is where the data cleansing service plays an important role.

Services:

• Data Auditing
• Workflow specification and execution
• Post processing and controlling
• Correction of the addressee
• Duplication of data is removed
• Lower/upper case conversion
• Use of correct gender
• Data integrity audits
• Delete obsolete data
• Identify and tag similar records

Offshore Data Entry specializes itself in data cleansing services for more than a decade and aims at providing accurate, complete, valid, uniform and unique results. Data cleansing services India professionals ensure that your databases are foolproof.

Outsource data cleansing to Offshore Data Entry Company and you will be able to use your skilled manpower, cost and resources to concentrate mainly on the core activities of your business.

Our data cleansing services India specialists use the following method in data cleansing:

• Parsing – performed for the detection of syntax errors.
• Data transformation – mapping of the data from their given format into the appropriate format for the application.
• Duplicate elimination-eliminates the duplicate representation of the same entity.
• Statistical method-using mean, standard deviation, range and clustering algorithms - our expert detects and removes the values which are unexpected and thus erroneous.

Advantages

• Data cleansing framework.
• Detecting and correcting corrupted records.
• Removing typo errors.
• Free trial on data cleansing to assess our quality.
• A regular update on the status of the project.
• Confidentiality and security of data.
• Keeps your data error-free.

Outsource data cleansing services to Offshore Data Entry ensures the customer of data enrichment and augmentation, real time transaction cleansing using standard business rules, and compressing large static databases into representative points making them more friendly for subsequent analysis.