In today’s connected world, there are two truths. First, we generate and manage a lot of data. Second, while that data is certainly valuable, not all of that data is usable.

Data is only valuable if it is accurate, complete, and consistent. Inaccurate data can lead to poor decision-making, lost opportunities, and financial losses. Data cleansing is the process of identifying and correcting errors, inconsistencies, and duplications in data.

According to a recent market report, the COVID-19 outbreak was a primary catalyst for the expansion and rising adoption of data-cleansing tools. Additionally, data cleansing tools maintain reliable data through a sophisticated cleansing framework using remote channels. This, in turn, is expected to boost the global data cleansing tools market. Moreover, companies can standardize their unstructured or structured data within a single platform, which is expected to create significant opportunities for IT operations and businesses to leverage data cleansing tools.

Data cleansing tools are software applications that automate the data cleansing process. This blog post will explain data cleansing and how these tools directly impact enterprise and data center IT operations.

Why are data cleansing tools essential?

Data cleansing is an essential step in the data management process. It involves identifying errors, inconsistencies, and duplications in data and correcting them. Data cleansing ensures that the data is accurate, complete, and consistent. Data cleansing is also known as data scrubbing or data cleaning.

Data cleansing tools automate the data cleansing process. These tools use algorithms and rules to identify errors, inconsistencies, and duplications in data. They also provide suggestions for correcting these issues. Data cleansing tools can be used for structured and unstructured data.

Structured data is stored in tables or databases, such as customer information, sales data, and inventory information. Unstructured data, such as emails, social media posts, and documents, is not organized in a structured format.

Data cleansing tools impact enterprise and data center operations in several ways. Here are five great ways data cleansing tools impact operations:

1. Improved Data Quality: Data cleansing tools improve data quality by identifying and correcting errors, inconsistencies, and duplications in data. This ensures the data is accurate, complete, and consistent, critical for decision-making, operational efficiency, and customer satisfaction.
2. Increased Productivity: Data cleansing tools automate the process, saving time and increasing productivity. This allows the data center and enterprise teams to focus on more strategic tasks like data analysis and business intelligence.
3. Cost Savings: Data cleansing tools can help businesses save money by reducing the cost of manual data cleaning. Manual data cleansing is time-consuming and expensive. Automating the process with data cleansing tools can reduce the cost of data cleansing.
4. Improved Compliance: Data cleansing tools can help businesses comply with regulatory requirements. Many regulatory bodies require that companies maintain accurate and complete data. Data cleansing tools can help ensure that businesses meet these requirements.
5. Improved Data Security: Data cleansing tools can help businesses maintain data security by identifying and removing sensitive data. This can help prevent data breaches and other security incidents.

Data cleansing tools can be used for several data management tasks, such as:

• Data Standardization: Data cleansing tools can standardize data by correcting spelling mistakes, capitalization, and formatting issues. This ensures that the data is consistent and easier to analyze.
• Duplicate Removal: Data cleansing tools can identify and remove duplicate data. This ensures that the data is accurate and reduces the risk of errors.
• Data Validation: Data cleansing tools can validate data by checking it against a set of rules. This ensures that the data is accurate and complete.
• Data Enrichment: Data cleansing tools can enrich data by adding missing information. This can include adding zip codes or other demographic data to customer records.

Let’s get that data clean – getting started with data cleansing

Don’t let your data get cluttered and dirty. Data cleansing tools are essential for managing data quality in today’s data-driven world.

In IT operations, data cleansing tools are used to manage, analyze, and scrub data from various sources, such as IoT (Internet of Things) devices, databases, emails, physical gear, and much more. In addition, data cleansing tools remove issues such as formatting redundancies and errors to make the data accessible and accurate.  

Remember, data cleansing tools are interactive solutions that simultaneously clean a large amount of unwanted data. This is why, to get the most out of data cleansing tools, businesses should use them in conjunction with other data management tools, such as data profiling, data integration, and data governance. TFORM’s data experts can review all critical aspects of effective data cleansing and management. Be sure to reach out today and learn how TFORM’s industry-leading toolset can impact IT operations.