Top Free Data Quality Software
Check out our list of free Data Quality Software. Products featured on this list are the ones that offer a free trial version. As with most free versions, there are limitations, typically time or features.
If you'd like to see more products and to evaluate additional feature options, compare all Data Quality Software to ensure you get the right product.
DemandTools is a CRM data quality suite that enables organizations to deliver high-quality data in Salesforce CRM or Microsoft Dynamics 365 CRM. The DemandTools modules are broken down into three major sections according to their primary objectives: Maintenance Tools – Modules for data loading, data backups, data manipulation, report management and record reassignments Cleansing Tools – Modules for duplicate merging and prevention and lead conversion management Discovery Tools – Modules for c
About RingLead RingLead is a SaaS cloud-based data orchestration platform that offers a complete end-to-end suite of solutions to discover, clean, protect, enhance, segment, score, and route your CRM and marketing automation data. Since 2003 RingLead has helped solve the data challenges of Fortune 500, and other large, medium, & small enterprises across the globe. RingLead automates the way organizations conduct their most important data processes: - Deduplication - Normalization - Enri
Melissa’s Clean Suite (previously Melissa Listware) fights dirty data in your Salesforce®, Microsoft Dynamics CRM®, or Oracle CRM and ERP platforms by verifying, standardizing, correcting and appending your customer contact data records. The result – clean, vibrant, valuable data you can use for squeaky clean omnichannel marketing and sales success. • Autocomplete, verify and correct contacts before they enter the CRM • Add valuable demographic and firmographic data for effective lead scoring,
Clean & Match is WinPure’s award-winning data cleansing and data matching software suite, specially designed to increase the accuracy of business or consumer data. This software suite is ideal for cleaning, correcting and deduplicating mailing lists, databases, spreadsheets and CRMs. WinPure™ Clean & Match will help save your business time and money. * Increase the accuracy of virtually ANY list, spreadsheet, database, CRM, etc. * Locally installed Windows software so no need to worry a
Melissa’s 35 years of deep domain expertise in address management and data quality combines a global consortium of multi-sourced data with the latest innovations to help businesses keep their customer data clean. Our enterprise Data Quality Suite provides wide capabilities that clean, correct and verify addresses, names, phones and emails at the point of entry. The Data Quality Suite offers: Address Verification: Validates, corrects and standardizes addresses in batch, point of entry or can o
Cloudingo solves the biggest problem with Salesforce data: duplicate records. What’s unique about Cloudingo is its ability to comb through Salesforce to find duplicated records while giving you the most flexibility and control, with the least headaches of any deduplication tool on the market. And while removing duplicates is at the core of what Cloudingo does, there’s a lot more to data cleansing. Developed with user feedback in mind, it’s no wonder Cloudingo is a favorite app among Salesforce u
DataMatch Enterprise is a highly visual desktop data cleansing application specifically designed to resolve customer and contact data quality issues. The suite consists of scalable configurations for deduplication & record linking, suppression, enhancement, extraction, and standardization of business and customer data.
Powered by the Data Cloud, D&B Optimizer serves as the foundational building block for your sales and marketing alignment by delivering valuable business intelligence on more than 350 million business records and their corporate hierarchies. These records are curated from thousands of sources and are updated 5 million times a day providing you with the quality B2B data you need to increase productivity and organizational alignment, while enabling you to accelerate growth. D&B Optimizer
Informatica Data Quality and Governance Cloud delivers trustworthy data to all stakeholders, projects, and data domains for all business applications on premise or in the cloud.
Insycle is a complete customer data management solution that makes it simple for companies to manage, automate, and maintain clean customer databases. This allows their teams to execute more efficiently and improve reporting, knowing the data is accurate and formatted properly.
Sales Enablement Service with data mining, data cleaning and data appending features. Bizprospex's sales enablement service will help grow your B2B business. Our services promise to give business of all sizes the opportunity to mine and append information to sell, service, market, develop, and succeed like never before.
The only de-duping tool that allows you to identify duplicates based on your own business rules. You select how to define a duplicate by setting up your own rules of identifying which record is going to be the surviving (master) record. StrategicDB's de-duping tool also normalizes fields such as: Website, Address and Company Name for better identification of duplicates. To ensure that the selected master record is the right choice among duplicates, our deduping tool is equipped with the confid
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based solution framework: Multi Domain Data Quality, Master Data Management ,Data Governance,Business Glossary and Data Dictionary. Data Profiling, Address Standardization US, Canada and 200+ Countries, Fuzzy Match
iugum Data Software helps Improve your data management software to cleanse, match and merge your lists, datasets or databases.
Ataccama delivers self-driving data management and governance with Ataccama ONE. It’s a robust, AI-powered platform integrating Data Discovery & Profiling, Metadata Management & Data Catalog, Data Quality Management, Master & Reference Data Management, and Big Data Processing & Data Integration. Ataccama ONE gives you the option to start with what you need and seamlessly extend as your business requires. The first step is free—try our one-click data profiling trusted by 55,000 us
Dedupely Software Inc. is a small company from BC Canada founded in 2014 by Clinton Skakun. The Dedupely de-dupe product helps you find and merge duplicate records in Pipedrive, HubSpot and Salesforce. You can merge one-by-one, in bulk and automatically. Our UI is very easy to use and comes with all the features you need to safely and quickly manage duplicates. Dedupely helps you buy back your sales team's time, have more accurate and reliable data and recover lost revenue that comes with it.
Red Flag Alert is a business information database with records on every UK and Northern Ireland business. Red Flag Alert allows you to effectively assess the financial health of a business with detailed business reports, monitors any changes in circumstances in a business through real-time e-mail alerts, identifies and targets your ideal business prospects through an online search function with options for basic and advanced business demographics search.
uProc offers tools to enhance and enrich database fields. Organizations can benefit from improved internal data flows, better campaigns, classification, and cost reduction. uProc can validate emails, phones or add several fields to a database for better a segmentation. Also, uProc improves forms, and unifies databases. The uProc API supports JSON for responses.
Top 10 Free Data Quality Software in 2021
- DemandTools
- RingLead
- Melissa Clean Suite
- WinPure Clean & Match
- Melissa Data Quality Suite
- Cloudingo
- DataMatch Enterprise
- D&B Optimizer
- Informatica Cloud Data Quality
- Insycle
Learn More About Data Quality Software
What is Data Quality Software?
Data is arguably the single biggest driver in modern business. Because of its value as both a point of reference and as a way to drive profit and potential, data integrity is imperative for success.
Data quality solutions are explicitly designed to improve data integrity for any data sources a business might need maintained. They sift through and isolate “bad" data to either correct it or purge it from the data source. Data quality software can also help make your business’ data more uniform so that integrating your data with other software is less frustrating and time consuming.
Key Benefits of Data Quality Software
- Data identification and repair
- Data normalization
- Improved overall data utility
Why Use Data Quality Software?
Data quality software, as the name suggests, is built for improving the caliber of your company’s data. It can be easy for business data entries to be incomplete, duplicated, improperly formatted, or flat out incorrect, especially when that data involves personal or contact data. As such, it’s important that businesses have ways to correct and maintain the quality of their data quickly and often. Hence, data quality software.
Subpar data integrity can be costly for businesses, both in work hours and money spent. Employees might have to spend extra time verifying data correctness or completeness when that time could be spent focusing on projects or other tasks. As well, in situations like marketing or sales where you might be paying for items or services at a per-person rate, duplicate or inaccurate data can negatively impact the bottom line. Data quality solutions are a great option for companies to be sure that their business data is accurate and complete and helps minimize the negative outcomes associated with bad data.
Who Uses Data Quality Software?
Because of the wide range of specializations that data quality solutions can take, anyone in a business could potentially find at least some value from data quality software. The specific type of data quality software a person ends up using relates by and large to their position in the company. Sales and marketing may use one type, while database admins or shipping specialists would use other types.
Kinds of Data Quality Software
Data quality solutions are usually designed with one or a few specific data sources in mind. They typically focus on improving the quality of data in one or more of the following categories.
CRM — Many data quality solutions are used in the context of CRM because of how important customer and prospect data is for generating and retaining sales. CRM-focused data quality software is aimed at keeping all prospect and client data up to snuff.
Database — Other data quality software is built specifically for creating and retaining quality within databases. These data quality solutions are built to handle a high volume of data entries. The range of data that these solutions can process is wide, since so many different types of data—from personal to transactional and anything in between—can be stored in a database.
ERP — Some solutions are designed for ERP systems to ensure end-to-end financial, business, and supply data are accurate. Though taking a similar span of data types as database-focused data quality solutions, those for ERPs deal with that data through the actual ERP platform directly.
File type specific — The previously noted data sources aren’t the only places where quality matters. Many of us rely on files like spreadsheets or XMLs every day to complete our tasks. Data quality solutions can be built for those specific file types to help businesses organize data that doesn’t get stored in larger systems like those listed above.
Data Quality Software Features
Data identification — Data quality solutions must be able to identify “good" and “bad" data within your data source(s). Data identified as bad is then passed through a cleansing process.
Data cleansing — Cleansing—correcting or removing—bad data can take several forms, be it deletion, modification, merging, or other methods. Deduplication (the act of removing identical entries) and modification (e.g., capitalizing all first letters in names) are some of the most common cleansing methods.
Normalization — For many kinds of data to be useful, the data has to be uniform for processing through other software. Normalization is the data quality process of standardizing all data of a certain type to the same format.
Automation and scheduling — Manually running data identification and cleansing tasks can be a pain. Many data quality solutions allow you to automate these tasks, both routinely and with new incoming data, and they can offer scheduling capabilities for, say, weekly quality checks.
Reporting — Many data quality solutions will include reporting features to give your business an idea of how much data was assessed, what changed, where any issues occurred, and other overhead information you may need.
Additional Data Quality Features
Data appending — While some data may need to be deleted, adjusted, or normalized, other data might have components missing that are critical to the data being affected. Data appending—the addition of component pieces to existing data—can be a valuable asset for making whole, useful data from an incomplete source.
Data enrichment — Businesses sometimes use disparate data sources to build a stronger overall pool of data from which to work. Data enrichment features allow businesses to bring in data from multiple sources, normalize and bolster that data, and use it as though it came from a single source.
Regulatory compliance — For industries where regulations are top priorities (e.g., health care and finance), a data quality solution would need to be able to preserve quality in the data source(s) without breaking regulations. Some data quality solutions take regulatory compliance into consideration for cleaning, which helps businesses stay compliant at the data source.
Potential Issues with Data Quality Software
Normalization inaccuracy — Normalizing your data against an improper format can be a project-halting mistake. Be sure, when setting up any normalization parameters for your data, that the parameters are absolutely correct the first time. Otherwise, you may have to spend extra time renormalizing your data to fix a mistake from the normalization template.
Over- or underbuying — Prior to purchasing, be sure you understand the full extent of capabilities you need (or might need) your data quality solution to have. Buying for only, say, a CRM focus might not be the best idea when your company also stores a lot of business data in databases. Or purchasing a file-type-oriented solution might be limiting if your business plans to expand into a CRM in the near future. But also, be sure to be realistic about the functions you’ll use, else your business might overspend for a product whose functions aren’t all useful to you.
Standards adherence — If your business deals with data that needs to apply to certain regulations (e.g., medical data), be sure that the data quality solution you select can handle the demands that come with regulatory adherence. Not complying with data regulations is an expensive problem that businesses should avoid as much as possible.
