Data cleaning - Caroline Lozano
  • Woman on her laptop performing a data analysis or data cleaning.
    Blog,  Data cleaning

    3 Types of Dirty Data to Beware

    The word “pollution” is often associated with the environment. Plastic bags, straws in the ocean—you get the drift. However, what many people don’t know is that pollution also exists in the business world. Yes, you heard that right. Since many businesses and firms are data-driven organizations, there’s a chance that data may become corrupted or obsolete. When data becomes insufficient, outdated, or inaccurate, it typically referred to as “dirty data”. Dirty data isn’t something you can just ignore. For many businesses, dirty data can lead to interruptions during regular business operations and pose countless other risks. As marketers, it’s important to identify the difference in dirty data that we may…