Best Data Cleansing Tools include:
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and…
D&B Connect is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall…
Clear Analytics is a business intelligence solution that enables non technical end users to perform analytics by leveraging existing knowledge of Excel coupled with a built in query builder. Some key features include: Dynamic Data Refresh, Data Share and In-Excel Collaboration.
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation…
Organizations need to make data-driven decisions. But how do they obtain sound data and scale and operationalize those data-driven decisions? Self-service data preparation solutions from SAP can help. The SAP® Agile Data Preparation application provides self-service access to…
A provider of sales and marketing data, SMARTe offers a data platform for revenue teams and professionals, boasting more than 300 companies around the world have boosted revenue growth and improved marketing ROI using the platform's capabilities and data, that include: -270+ research…
LiveRamp, from the company of the same name in San Francisco, is a data connectivity platform supporting the safe and effective use of data. Powered by core identity resolution capabilities and network, LiveRamp enables companies and their partners to connect, control, and activate…
PostGrid Address Verification API and platform allows companies to verify, validate, standardize, autocomplete and parse postal addresses globally across 245+ countries. The service cleans data along with a lot of other metadata into the user's system. It can be used on a website…
Scraping Pros is a web scraping company that specializes in providing data scraping services to businesses of all sizes. Scraping Pros' data scientists and engineers use web scraping technologies to extract and structure data from various online sources, including websites and online…
Netlink headquartered in Wisconsin offers Dataware, a platform for extracting and preparing data, performing data cleansing, data mapping, data conversion, and combining of data.
EAB's Rapid Insight puts data in decision-makers’ hands with simplified predictive modeling, a code-free data workspace, and cloud-based dashboards. Rapid Insight’s code-free data ingestion workspace allows users to connect to campus data from a SIS or LMS, and move it to CRMs and…
Flatfile is a data import tool from the company of the same name in Denver, that helps onboard and normalize data, automatically matching data columns and running advanced validation logic to ensure messy customer spreadsheets are transformed into clean, ready-to-use data for products.…
Aunsight Golden Record aims to turn siloed data from disparate systems into a single source of truth across the enterprise. The cloud-native platform cleanses data to reduce errors, and Golden Record as a Service matches and merges data together into a single source of accurate business…
tye cleans data so users don't have to. tye is a data cleansing software for SMBs that cleans data directly in a current technology stack. The vendor states that there's no training or migration required, no extra work involved. tye merges lists and cleans data for sales, CRM, and…
VeriAS is a secure enterprise level platform that is designed to analyze, verify and score email lists in order to flag hard bouncing as well as malicious email addresses. The vendor’s value proposition is that their solution safeguards an organization’s email resources and improves…
StarDQ is a real time solution for cleansing, de-duping, and enriching enterprise data. By integrating StarDQ Solution, organizations can cleanse, match and unify data across multiple data sources and data domains. According to the vendor, the goal is to ensure that data is a strategic,…
What are Data Cleansing Tools?
Data cleansing tools are an essential component of Data Quality Software. By eliminating errors, reducing inconsistencies, and removing duplicate data, data cleansing tools boost the integrity, relevance, and value of your data. This allows companies to trust their data, make informed, sound business decisions, and build better experiences for their customers.
Also referred to as data scrubbing or data cleaning, data cleansing tools identify and resolve corrupt, inaccurate, or irrelevant data. It cleans, corrects, standardizes, and removes duplicate contact records from marketing and mailing lists, databases, and spreadsheets. This type of software often includes features to clean and validate both physical addresses and email addresses. Data cleansing is especially valuable when applied to CRM and ERP data. Tools are available that use machine learning to spot inconsistencies and make recommendations.
Dirty data can have costly consequences. It can contribute to lost revenue, take time to correct, and damage your brand.
Data Cleansing Tools Features
Data cleansing tools will offer many of these features:
Identifies ‘Dirty Data’
Corrects or Removes corrupt, inaccurate, inconsistent, incomplete, outdated, and duplicate data
Preserves Data Integrity
Supports a wide range of data formats
Normalizes Data / Data Harmonization
Match, Merge, and Purge of Records
Diagnostic Filtering examines data columns, structure, and business rules
Error Event Schema records errors identified by quality screens noting the severity and location of the error
Data Enrichment – supplements incomplete or missing data
Automated Data Cleansing – implemented through data configuration settings
Data Profiling – evaluates how clean your data is
Cleans data as it is collected
Automation and Scheduling of Cleansing Tasks
Dashboard / GUI interfaces and Reporting
CRM, ERP, and MDM integration
Cloud-based and On-premises deployment options
Data Cleansing Tools Comparison
When purchasing data cleansing tools consider the following key factors:
Use Case: Some products are specifically tailored for CRM products such as Salesforce or Microsoft Dynamics. Business Intelligence and Data Management tools often also provide data cleansing capabilities.
Compatibility: Your data may be housed in multiple different systems, and on different platforms. The tools need to have access to and be compatible with your systems and databases in order to work well.
Security: Information sharing is necessary for cross-validation; the tools will sometimes need to access sensitive data.
Cloud-based vs On-premise: Cloud-based product installations are quicker, more convenient, and less costly than on-premises installations. For these reasons, small and mid-sized businesses often choose to go with cloud-based deployments. However, on-premise installations are typically more secure than cloud-based ones, which may be critical for organizations with very sensitive data.
Professional versions start at around $100 a month. There can be additional setup fees. Enterprise products start at $300 a month and often require a vendor quote for large installations.
Pricing typically corresponds to the range of features provided, the volume of data cleaned, and/or the number of validations performed. Most vendors provide free trials of their platforms. Open-source and basic data cleansing products are free. Billing models include monthly, yearly, and one-time purchase options.
Frequently Asked Questions
Data cleansing tools help ensure that your organization has clean data. The benefits of having clean data include:
- Improved Decision Making: Good data provides reliable insights. A decision is only as good as the information it is based on. Garbage-in, garbage out.
- Improved Client Relations: Accurate data eliminates a potential source of friction. Shoddy or unreliable data can lead to incorrect assumptions about an account or contact.
- Staff Productivity: Data error reduction or removal helps employees work more efficiently.
- Reduced Risk and Costs: Eliminating bad data helps prevent revenue loss, brand damage, and the time and effort needed for damage control and manual data correction.
- Boosts Revenue: Accurate customer data creates better results for marketing and sales campaigns.
Basic data cleansing tool plans start at around $100 a month. Enterprise-level plans start at $300 a month and often require a vendor quote for large installations.
The cost of data cleansing tools depends on the range of features provided, the amount of data to be cleaned, and the number of validations performed. Free trials are available. Open-source and basic vendor products are free.