Finding software can be overwhelming. Software Advice has helped hundreds of businesses choose the right data cleaning tools so they can clean and correct the information in their databases.

Showing 1-20 of 152 products

Domo

Domo is the Business Cloud®, empowering organizations of all sizes with BI leverage at cloud scale in record time. With Domo, BI-critical processes that took weeks, months or more can now be done on the fly, in minutes or seconds,... Read more

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Recent recommendations: 15 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Sisense

Sisense is an agile business intelligence (BI) solution that provides advanced tools to manage and support business data with analytics, visuals and reporting. The solution allows businesses to analyze big and disparate datasets and... Read more

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Recent recommendations: 12 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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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 create... Read more

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Recent recommendations: 10 recommendations

Platforms: MacWinLinux
Deployments: On premise
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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 of use... Read more

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Recent recommendations: 4 recommendations

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Deployments: Cloud
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Phocas Business Intelligence

Phocas is a cloud-based, SaaS company specializing in data analytics for manufacturing, distribution and retail industries. Phocas uses sector knowledge to consolidate essential business data from common ERP, CRM and AP/AR systems... Read more

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Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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TIBCO Spotfire

TIBCO Spotfire provides executive dashboards, data analytics, data visualization and KPI push to mobile devices. It complements existing business intelligence and reporting tools, while midsize organizations can use dashboards and... Read more

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Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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CHAOSSEARCH

CHAOSSEARCH is a fully-managed Software-as-a-Service (SaaS) platform that helps organizations build log analytics on Amazon Simple Storage Service (S3). The solution transforms S3 into a searchable data repository, allowing users to visualize... Read more

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Recent recommendations: 2 recommendations

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Deployments: Cloud
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CXO

Your organization depends on your team to deliver the actionable C-Level insights from your EPM data that it needs. If you are stuck with static reports, BI tools that don’t innately understand the hierarchies and dimensions of financial... Read more

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Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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TARGIT Decision Suite

TARGIT Decision Suite is a business intelligence and analytics solution that offers visual data discovery tools, self-service business analytics, reporting and dashboards in a single, integrated solution. TARGIT combines the control... Read more

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Recent recommendations: 1 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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TrenData

TrenData People Analytics is a cloud-based business intelligence (BI) solution designed for midsize businesses across various industries. The solution offers various HR analytics and workforce management features such as compensation... Read more

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Recent recommendations: 1 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Etleap

Etleap is a cloud-based AWS database management tool that allows users to analyze data from disparate sources. Users can add or modify new data sources and apply custom transformations to their datasets. It works with analytical... Read more

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Recent recommendations: 1 recommendations

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Deployments: Cloud
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dashboardMD

dashboardMD is a turnkey, cloud-based, enterprise data warehouse, and business intelligence solution that provides organizations in the healthcare industry with daily dashboards and reporting tools to measure clinical, financial and... Read more

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Recent recommendations: 1 recommendations

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Deployments: Cloud
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Lumenore

Lumenore is a cloud-based technology performance management platform that integrates with multiple data sources, including spreadsheets, databases, social media and any existing cloud-based or on-premise software solution. It is suitable... Read more

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Recent recommendations: 1 recommendations

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Deployments: Cloud
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Klipfolio

Klipfolio is a cloud-based business intelligence solution that serves businesses of all sizes. It helps marketing agencies, analytics firms, system integrators, business solution providers and technology providers create business performance... Read more

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Deployments: Cloud
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Stratum

Stratum by Silvon is a robust business intelligence solution that was designed to meet the unique needs of business professionals working for manufacturing and distribution companies. Stratum offers a full suite of integrated analytic... Read more

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Deployments: CloudOn premise
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Exago

Exago BI is a 100% web-based, end-to-end business analytics solution that’s designed to be embedded in web-based applications. Embedding Exago BI allows SaaS companies of all sizes to provide their customers with self-service ad... Read more

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Deployments: CloudOn premise
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Rivery

Rivery is a cloud-based solution that provides small to large enterprises with business intelligence tools to manage and automate data pipelines. It comes with a centralized dashboard, which enables users to gain insights into business... Read more

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Deployments: Cloud
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Centralpoint - Business Intelligence

Centralpoint by Oxcyon is a content management solution that can be installed on-premise or accessed on the cloud from any mobile device with an internet connection.The modular applications can be deployed in a configuration that suits... Read more

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AtScale

AtScale is a data warehouse virtualization solution that creates a live connection between people and data without moving it, regardless of where it is stored or how it is formatted - on-premise or in the cloud - turning your data... Read more

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Deployments: On premise
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Dploy Solutions

Dploy Solutions is a cloud-based manufacturing and industrial IIoT software that helps businesses collect, combine and analyze performance data across plant floors and other operations departments. It allows users to gain real-time... Read more

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Buyers guide


Last Updated: July 8, 2020

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.
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  • 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.
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  • 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.
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  • 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.