IT Governance

Boost Your Efficiency with Data Scrubbing Initiatives

Data is a critical part of your business. From the success of your sales initiatives to business growth, all functions of a company rely on data. However, often data is inaccurate. Correcting this faulty data, fixing punctuation issues and typos, deleting duplicate information, and bringing the data into a consistent format is essential. In this article at Hackernoon, Farooq Ahmed explains the importance of data scrubbing and how it helps in data governance initiatives.

What is Data Scrubbing?

Data scrubbing, often known as data cleaning, data cleansing, or data wash, involves detecting and removing errors and inconsistencies in the database or data set caused due to inaccurate data entry. Data cleansing focuses on maximizing the accuracy of data in a system.

Why is Data-Scrubbing Important?

Master data helps leaders make critical business decisions and is one of the most valuable assets a company possesses. Implementing a data-cleansing initiative saves a lot of time and money in the long run and prevents the numerous project failures caused by poor asset management.

The structures of some businesses may not support this new world of data-driven asset management. In fact, the transition could be painful. However, cleansing the data will undoubtedly boost operational efficiency.

How Does it Help?

Any process for data scrubbing must fit into a larger data governance strategy. “An enterprise-level data scrubbing solution does more than just cleanse data – it helps you set standards, which you might not even have thought about before,” says Farooq. Data governance at an enterprise level involves identifying the people, process, and tools that will help enforce best practices to keep data assets clean, secure, and useful.

Gathering relevant data is not enough; it is the clean data that provides you with clear insights. Implementing tools and software to cleanse the data is an investment in the company. It helps you ensure that the company doesn’t become a victim of small typo errors. To read the full article, click on

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