data-cleansing

Vocabulary Word

Definition

The term 'data-cleansing' refers to the process of identifying, correcting or removing bad, inaccurate, or irrelevant parts of datasets. It's like a data hygiene routine, ensuring that data remains accurate, complete, and usable.

Examples in Different Contexts

In customer data management, 'data cleansing' is essential for keeping customer information up-to-date and accurate, supporting effective customer relationship management. A CRM manager might state, 'Regular data cleansing helps us keep our customer records accurate, ensuring better communication and service delivery.'

Practice Scenarios

Finance

Scenario:

Our financial statement contains several outdated transactions. We need a more accurate representation for decision-making.

Response:

Good point. Let's proceed with data-cleansing to update our financial transactions for a better decision-making basis.

Marketing

Scenario:

We have duplicate entries in our customer list. This could lead to wasteful expenditure on communications and promotions.

Response:

Absolutely, a thorough data-cleansing process can help us remove duplicates and maintain a clean customer database.