Data Cleansing

Credible, Correct, Complete, and Consistent

Clear data is synonymous to clear direction. Your database, owing to your expanding coverage of potential and existing clients, is a warehouse of data. Cleansing ensures that this data is available for accurate, precise and instant strategies without having your team wade through outdated or corrupt files and entries, only to find an error in it.

Contrary to the popular belief, data cleansing is not just the cessation of dirty or coarse data, but the modification, replacement or deletion of corrupt, inaccurate and redundant parts occupying a database.

We help you dust off your warehouse through the following concepts :

Removal of Unwanted Data

Duplicate and irrelevant data

Validate

Reviewing and reassessing the data

Removing Outliers

Improper data-entry, unrelated or inaccurate outliers

Handle Missing Data

Avoiding gaps in information flow

Fixing Structural Errors

Typos, naming inconsistencies, incorrect punctuation and parsing

How does it affect overall productivity?

A Cleaner database

Decrease data processing time by eliminating redundant entries and pulling relevant data effectively.

Increase Productively

Allow your sales team to effectively utilize their resources instead of trying to contact outdated leads.

Decision Making

Data cleansing and enrichment leads to better analytics, critical in supporting greater business intelligence, resulting in amplified sales.

Targeting Customers

Accurate data highlighting targeted clients facilitates effective lead generation. This revised information aids in formulating a suitable plan of action

Streamline Business Processes

Cleansing is essential for Data Driven Marketing to work adequately. Eliminating duplicates and dirty data saves time and directs business processes in a labour-saving way.

At InfoIntellect, we understand that your business, regardless of its size and specifications, needs maintenance in a hassle-free manner to help you deliver your goal. Collecting data associated with the business is only the beginning, cleansing and staying up to date is what makes your dataset robust, trustworthy and ready to use.