Data Cleaning Tools

Compare All Data Cleaning Tools

Filters

Apply Filters:

X

Your Industry

Your Company Size

Price

Sort by

Recommendations: Sorts listings by the number of recommendations our advisors have made over the past 30 days. Our advisors assess buyers’ needs for free and only recommend products that meet buyers’ needs. Vendors pay Software Advice for these referrals.
Reviews: Sorts listings by the number of user reviews we have published, greatest to least.
Sponsored: Sorts listings by software vendors running active bidding campaigns, from the highest to lowest bid. Vendors who have paid for placement have a ‘Visit Website’ button, whereas unpaid vendors have a ‘Learn More’ button.
Avg Rating: Sorts listings by overall star rating based on user reviews, highest to lowest.
A to Z: Sorts listings by product name from A to Z.
Showing 1 - 20 of 166 products
Filters
Showing 1 - 20 of 166 products

Domo

Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their busines...Read more

4.23 (195 reviews)

8 recommendations

Dundas BI

Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to cre...Read more

4.52 (121 reviews)

6 recommendations

ClicData

ClicData is a business intelligence (BI) dashboard solution designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards. A drag-and-drop interface designed for ease...Read more

4.61 (134 reviews)

3 recommendations

PriceDemo

BullseyeEngagement Business Intelligence Dashboards

BullseyeEngagement's Business Intelligence Dashboards synthesize data from various sources and make complex information easily understandable. These highly customizable dashboards were built to give busy business leaders real-time...Read more

No reviews yet

3 recommendations

PriceDemo

Sisense

Sisense goes beyond traditional business intelligence by providing organizations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking th...Read more

4.52 (359 reviews)

1 recommendations

PriceDemo

Hevo

Hevo is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineeri...Read more

4.68 (37 reviews)

1 recommendations

Precision BI

PrecisionBI is a healthcare analytics and visualization platform that combines clinical, financial, and business data all in one place; turning disparate data into insights for impactful decisions. With over 25 years of expe...Read more

No reviews yet

1 recommendations

PriceDemo

Microsoft SQL Server

Microsoft SQL Server Business Intelligence (BI) Edition is a database management and BI software solution designed for companies of all sizes. The system offers relational database management, which allows users to access enterpri...Read more

PriceDemo

Tableau

Tableau is an integrated business intelligence (BI) and analytics solution that helps to analyze key business data and generate meaningful insights. The solution helps businesses to collect data from multiple source points such as...Read more

Microsoft Power BI

Microsoft Power BI is a web-based business analytics and data visualization platform that is suitable for businesses of all sizes. It monitors important organizational data and also from all apps used by organizations. Microsoft P...Read more

Software pricing tips

Read our Data Cleaning Tools Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money

Google Charts

Google Charts is a cloud-based business intelligence solution designed to help teams visualize data on their websites in the form of pictographs, pie charts, histograms and more. Key features include content management, custom das...Read more

PriceDemo

Boomi

Boomi is a unified cloud-based integration solution designed to centralize data, applications, and processes into one unified ecosystem, effectively breaking down data silos. Using Boomi's integration capabilities, businesses are ...Read more

PriceDemo

Operations Hub

Operations Hub allows you to easily sync customer data and automate business processes. It supercharges your HubSpot CRM by synchronizing contacts, leads, and company data with other applications. Operations Hub works two ways a...Read more

Grow

Grow is a cloud-based, business analytics and reporting solution suitable for small to midsize organizations. The solution allows users to create customizable dashboards for monitoring business workflows and key activities. Grow...Read more

PriceDemo

Zoho Analytics

Zoho Analytics is a cloud-based reporting and business intelligence solution that offers several applications within its suite, including dashboards, analysis, reporting, data warehousing and more. This solution is used in multipl...Read more

Qlik Sense

Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle...Read more

IFTTT

IFTTT is a data integration software, which helps fintech, home automation, and energy companies connect applications and devices with third-party integrations. The software allows financial institutions to connect apps or website...Read more

PriceDemo

Adaptive Planning

Workday Adaptive Planning, founded in 2003, provides a web-based system for budgeting, forecasting and reporting. The solution is suitable for a wide variety of company sizes. Delivered over the Web in a software-as-a-service (Saa...Read more

TapClicks

TapClicks is a smart marketing cloud-based set of automated marketing solutions designed to work in unison, powered by your data. We make the complex world of marketing easy with everything a business needs to differentiate itself...Read more

PriceDemo

Klipfolio

Klipfolio is a modern, lightweight business intelligence application used by thousands of business leaders and their teams to make better decisions with more confidence. Customers range from growing 25-person startups to fast-mov...Read more

Buyers Guide

Last Updated: May 20, 2022

Cleanliness is next to godliness, as the old saying goes, and this holds true for data and information as much as it does for human beings. As a business, you rely on your data to be correct, complete and up-to-date, so you can make the right decisions. Thus, it can be disastrous for you if that data is inaccurate.

However, given the vast quantities of data that flow in and out of the modern business, it's impossible to ask a human being, or even an entire team, to monitor your data and check for problems, gaps and inconsistencies. Only data cleaning tools can scour your database for these sorts of issues and automatically replace, modify or delete the flawed data.

This buyer's guide will explain what data cleaning tools are, explore their common features and point to some of the bigger issues your business should be concerned about when selecting the right data cleaning software for you.

Here's what we'll cover:

What Are Data Cleaning Tools?
Data Cleaning vs. Data Validating
Common Features of Data Cleaning Tools
What Type of Buyer Are You?
Key Considerations

What Are Data Cleaning Tools?

Success in business, and in business intelligence, relies on information—who has it, what they do with it and how good it is. Your business is only as strong as the quality of its data, so you should analyze your past and present successes in order to replicate them in the future, while simultaneously exploring what went wrong with your failures in order to avoid recreating them.

However, not all data is created equal. Generally, your data comes in the form of a record set, table or database, and each of those is equally likely to have a variety of incorrect, inconsistent or duplicate data points. This can be caused by a multitude of issues, including user entry and corruption of the file while in transmission or in storage. Whatever the reason it exists, though, that bad data needs to go.

That's where data cleaning tools come in. These software systems will scan through your information and find the data which stands out as being problematic. Depending on the system and your preferences, you can either have that data automatically scrubbed or replaced, or you can just have it flagged for manual review and updating.

Data cleaning can take a variety of forms:

  • Finding and removing typographical errors
  • Checking and validating entries against a list of known entities
  • Enhancing the data with extra, related information
  • Standardization and harmonization of data, so that all data uses the same standards of codes, measurements, and words
  • Cross-checking with a validated data set

Data Cleaning vs. Data Validation

Though they can sometimes be mistakenly used interchangeably, there's an important distinction between data cleaning and data validation:

  • Data cleaning. As discussed above, data cleaning takes an existing set of data (a table, record set, database etc.) and scans through it to search for certain specified errors, inconsistencies and blank spots.
  •   
  • Data validation. Data validation is performed at the time of data entry. It is not something that is performed on data that is already at hand, but rather ensures that the data will not need to be cleaned at a later date by validating it as it is originally entered.

Common Features of Data Cleaning Tools

Data profiling Scan through your data to find patterns, missing values, character sets and other important data value characteristics. Through creating this profile, the software will then know what sticks out as being incorrect or problematic, in comparison.
Data elimination Mapped against the profile created by going through the data, as well as against a validated list of known entities, the software will rid your database of duplicate data, bad entries and incorrect information.
Data transformation Working hand-in-hand with data elimination, this will take bad data and transform it into good data by correcting typos, standardizing/harmonizing data, converting values and normalizing numeric values to conform to minimum and maximum values.
Data standardization Scan through your data and put it all into a common format that you've selected (for example, taking Imperial system measurements and standardizing them to the Metric System) so that large amounts of data can be more easily analyzed.
Data harmonization Similar to data standardization, this will take data from a variety of sources and put them into a common format. This will allows both users and automated data analytics tools to be able to compare, review and analyze data that comes from more than one source.
Data enhancement This is a feature of more robust data cleaning tools, which will allow the software to connect information across databases in order to add related information to the entries it is scanning (such as adding addresses to a list of names).

 

Data quality dashboard on data analytics tool Halo

Data quality dashboard on data analytics tool Halo

What Type of Buyer Are You?

No matter the size or scale of your business, you're likely relying on some kind of database to keep track of your contacts, customers, inventory or other important pieces of information. In order to ensure that the database you're using is correct and up-to-date, you will find data cleaning tools useful.

However, not all businesses are alike, and neither are the data cleaning tools for those businesses. Appropriate tools will be based on the size and scale of the business. Your own business will fall into one of the following categories, based on its size:

  • Small business (Under 10 employees). Though your small business may not be able to afford all the features of some data cleaning tools, the good news is that you may not have to. At a smaller size, businesses have less data to worry about, and can get by with some of the more basic data cleaning systems with fewer features.
  •   
  • Midsize business (10-100 employees). At the midsize business level, you are in some ways faced with the worst of both worlds—you have enough data that you need to ensure it is clean and up-to-date, but you probably can't afford to hire a specific team or individual to maintain it. Robust data cleaning tools with a wide array of features will thus be important to your business, so you can maintain high-quality data at a reasonable cost.
  •   
  • Large business (100-500 employees). Larger businesses will definitely need a robust data cleaning tool that can go through the large amount of data that flows in and out of your records and databases. Though you may be able to afford to hire a dedicated team to maintain data cleaning, they will still ultimately rely on high-quality software to enable them to do their jobs more efficiently.

Key Considerations

Other factors to take into consideration when choosing the right data cleaning tools for your business include:

Access to other systems. In order for data cleaning tools to work, they need access to your data. This may be housed in a variety of places within your computer systems—in your business intelligence software, your customer relationship management software, your project management software or anywhere else that you house large amounts of important information—and thus requires the data cleaning tools to be compatible with the interface and formatting of those databases. Be sure to check with the vendor that the data cleaning tools you are purchasing will be able to access and clean all of your information across these various databases.

Cloud-based software vs. on-premise software. Only a few years ago, software was mostly housed on-premise, meaning that companies had to maintain the physical hardware for the products they purchased, necessitating both storage space and IT knowledge/resources. This made that software more difficult to use for smaller businesses. Today, however, most data cleaning tools can be purchased and employed using a cloud-based model, where the hardware is housed by the vendor and the software is simply deployed by accessing it over the internet. This makes those tools more readily available to small-to-midsize businesses without high-level IT resources, especially since cloud-based software is often quicker and easier to use than on-premise solutions, with fewer up-front costs.