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10 Best Data Cleaning Tools (January 2024)
Data is incredibly valuable in today’s world. There is no resource more valuable. With that said, organizations cannot just use any data. Almost every organization has dealt with unreliable numbers at some point; soiled data can derail an organization’s analytics. Bad data can make it hard to understand things and make assessments that aren’t consistent, which can lead to failure, higher costs, and unhappy customers.
There are a lot more data-cleaning tools now than there were before. These tools use artificial intelligence (AI) to save businesses a lot of time and money. The last step after entering data is cleaning it up, which is based on certain rules. But what does “data cleaning” really mean?
How Does Data Cleaning Work?
Many things can go wrong with data, such as bad data entry, the source of the data, source and target data not matching up, and wrong calculations. This means that the data needs to be cleaned, which means that any wrong, damaged, duplicate, or missing information needs to be removed from the file.
Companies can get rid of bad results by getting rid of bad data. This is why it’s so important to clean up the data before modeling and analyzing it. It can also help you keep your files and important papers up to date and make sure you don’t have too much personal information that could be dangerous.
Because there are so many reasons to clean up your data, it’s important to pick one of the best tools on the market.
Here are the 10 best data-cleaning tools:
1. OpenRefine
OpenRefine is a widely popular open-source data utility that offers powerful data-cleaning capabilities. This tool assists organizations in converting data between different formats while preserving its structure. It enables users to transform data, work with large datasets, clean and explore data, as well as parse data from the internet, and work with data directly on their machine.
Here are some of the advantages of OpenRefine:
- Free and open-source
- It supports over 15 languages.
- Work with DTA on your machine.
- Parse data from the internet.
2. Trifacta Wrangler
Trifacta Wrangler stands out as a top data-cleaning tool in the market. This interactive and transformational tool empowers data analysts to efficiently clean and prepare data compared to other tools. Its focus on data analysis reduces the time needed for formatting. Additionally, Trifacta Wrangler utilizes machine learning (ML) algorithms to suggest common data transformations and aggregations. Here are some of the advantages of Trifacta Wrangler:
- Less formatting time
- Focus on data analysis.
- Quick and accurate
- Machine learning algorithm suggestions
3. WinPure
WinPure is a cost-effective data cleaning tool that offers the capability to clean massive datasets by correcting, standardizing, and removing duplicates. It is versatile and can be used on various sources, such as CRMs, spreadsheets, and different types of databases, including SQL Server, Access, Dbase, and Txt files. One of its key advantages is that it is locally installed, ensuring a high level of security.
Here are some of the advantages of WinPure:
- Cleans enormous amounts of data
- Locally installed
- Free version with features
- Four languages
4. Drake
One simple data cleaning tool is Drake, an extensible, text-based data workflow with data processing steps. It automatically resolves dependencies, calculates the command to execute, and determines the necessary order of execution. Drake is specifically designed for data workflow and management, organizing command execution around data and its dependencies.
Here are some of the advantages of Drake:
- Organized command execution around data and dependencies
- Many inputs and outputs
- Built-in HDFS support
- Simple cleaning tool
5. TIBCO Clarity
TIBCO Clarity is a tool for cleaning up data that lets you get software services whenever you need them from the web. It lets you check the accuracy of data while cleaning it up so you can find trends that help you make better decisions. Standardizing raw data from different sources is possible with TIBO Clarity. This creates quality data that can be used for accurate analysis.
Here are some of the advantages of TIBCO Clarity:
- Provides SaaS via the web
- Standardizes raw data
- Helps with accurate analysis
- This leads to better decisions
6. Melissa Clean Suite
Melissa Clean Suite is another great data-cleaning tool on the market. It improves the quality of data in CRM and ERP systems such as Microsoft Dynamics CRM, Oracle CRM, Salesforce, and Oracle ERP. It can do many things, such as removing duplicate data, checking data, auto-completion of contacts, data improvement, real-time and batch processing, and more.
Here are some of the advantages of Melissa Clean Suite:
- Enhances data quality in CRM and ERP platforms
- Data deduplication
- Data verification
- Real-time and batch processing
7. Data Ladder
Data Ladder is a site that sells different goods, like DataMatch, a tool for cleaning and improving data. It also has DataMatch Enterprise, which can handle up to 100 million records and has powerful flexible matching methods. One of the fastest programs on the market, DataMatch Enterprise also has one of the best finding rates.
Here are some of the advantages of Data Ladder:
- User-friendly tools
- Useful for every size of business
- Easy data cleaning processes
- High matching accuracies
8. IBM Infosphere Quality Stage
IBM Infosphere Quality Stage is a product from one of the biggest names in the business that is meant to help with data quality. It is one of the most famous tools for cleaning up data and making sure it is fully accurate. It makes it easy to clean up and handle records and create uniform views of the most important parts of a business, like places, users, suppliers, and goods. The tool for cleaning data is very helpful for business intelligence, master data management, data warehousing, and big data.
Here are some of the advantages of IBM Infosphere Quality Stage:
- Supports full data quality
- Easy cleansing and database management
- Useful for big data and business intelligence
- Information governance
9. Cloudingo
But clouding is another great choice for tools that clean up data. The tool takes care of keeping Salesforce data clean and easy to control on its own. This is a simple tool that lets you remove old data, set up automatic tasks, and change many records at once. Every kind of business can use Cloudingo.
Here are some good things about Cloudingo:
- Automated
- Simple to use
- Deletes outdated and unwanted entries
- Useful for companies of all sizes.
10. Quadient Data Cleaner
Quasi Data Cleaner is the last tool on our list. It is a powerful data analysis engine. It checks the quality of data to help companies make better decisions. The flexible reasoning in the tool can find duplicates and create a single version. It can also find patterns, missing values, character sets, and many other features in a dataset.
These are some of the good things about Quadient Data Cleaner:
- Powerful data profile engine
- Analyzes data quality
- Use of fuzzy logic
- Discovers many properties in the dataset
The data cleaning process is essential for maintaining the accuracy and reliability of your database. It involves identifying and rectifying messy, inaccurate records, such as removing duplicate entries, correcting formatting errors, and standardizing data formats. This process ensures that your data is clean, consistent, and ready to be used for analysis, reporting, and decision-making purposes.
