Data Cleansing Tools

Data Cleansing Tools Overview


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.


Best Data Cleansing Tools include:

DemandTools, Tableau Prep, Clear Analytics, and Dataloader.io.

Data Cleansing Tools TrustMap

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Data Cleansing Products

(1-25 of 39) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.

DemandTools

DemandTools for AppExchange is a data quality toolset for Salesforce.com CRM centric customers. The product comprises 11 individual modules to control, standardize, verify, deduplicate, import and manipulate Salesforce and/or Force.com data.

Dataloader.io

Dataloader.io delivers a cloud based solution to import and export information from Salesforce.

Informatica Data Quality

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…

Key Features

  • Data source connectivity (6)
    94%
    9.4
  • Data profiling (6)
    92%
    9.2
  • Master data management (MDM) integration (6)
    90%
    9.0
Clear Analytics

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.

Key Features

  • Customizable dashboards (10)
    90%
    9.0
  • Pixel Perfect reports (10)
    88%
    8.8
  • Report Formatting Templates (10)
    88%
    8.8
Cloudingo

Cloudingo - a cloud-based SaaS, connects to salesforce.com and allows system administrators to scan their entire database for similar or duplicate records. Cloudingo was launched in late 2011. It is well known for its ease-of-use and rich user experience.

Tableau Prep

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…

Talend Data Quality

Talend Data Quality is an open source data management tool handling parsing, standardization, matching and data profiling.

LiveRamp

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…

Informatica MDM

Informatica MDM is an enterprise master data management solution that competes directly with IBM's InfoSphere and Oracle's Siebel UCM product. The product has about 200 licensed users. Informatica MDM is a multidomain solution with flexibility to support any master data domain and…

V12 Data

The V12 Data Platform (formerly called the Launchpad Marketing Cloud) is comprised of a collection of online and offline marketing solutions that is designed to manage existing customer relationships and identify new prospective customers by granting users access to The V12 Group…

IBM InfoSphere QualityStage

IBM InfoSphere QualityStage is a data quality offering from IBM.

Trifacta

Trifacta is a "data wrangling" (or data preparation) platform particularly of use with Hadoop, developed by the company Trifacta headquartered in San Francisco, California. Alteryx announced their acquisition of Trifacta in January of 2022.

SAP Agile 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…

RingLead Cleanse - Duplicate Prevention

RingLead Cleanse (formerly Duplicate Prevention, or "Unique Entry") enforces perimeter protection around B2B databases to stop dirty data in real time, at the source, and consistently maintain and improve the health of data. It is a ZoomInfo solution since the September 2021 acquisition.…

TIBCO Clarity

TIBCO Clarity is an automated data cleansing application supporting removal or merging of duplicate records, formatting and transformation, as well as trend or pattern detection in datasets.

Precisely Trillium Quality (formerly Syncsort Trillium DQ)

Trillium Quality, formerly Syncsort Trillium DQ, is a data quality solution that supports rapidly changing business needs, data sources and enterprise infrastructures including big data and cloud.

Netlink Dataware

Netlink headquartered in Wisconsin offers Dataware, a platform for extracting and preparing data, performing data cleansing, data mapping, data conversion, and combining of data.

tye.io

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…

Kylo

Kylo is an open source data lake management application, providing self-service data ingest with data cleansing, validation, and automatic profiling, as well as data preparation, allowing users to wrangle data with visual sql and an interactive transform through a simple user interface.…

DQLabs

DQLabs, Inc is a provider of an augmented data platform for enterprises to manage data smarter. With ML, self-learning capabilities and a Data Quality first approach, organizations can connect, discover, measure, monitor, remediate and improve data quality across any type of data…

Creactives Material & Services Master Data Governance (TAM 4)

Creactives' TAM is an AI-powered web app. It exploits ERP's structured/ unstructured info (short and long descriptions, technical sheets) to cleanse, enrich, deduplicate, and govern MMD by connecting all legacy systems. Duplicate Material Records identification steps: 1. Material…

Melissa Clean Suite

Melissa, headquartered in Rancho Santa Margarita, helps organizations profile, cleanse and verify, dedupe and enrich all their people data (name, address, email and phone number) and more. With clean, accurate and up-to-date customer information, organizations can monetize Big Data,…

OpenRefine

OpenRefine (previously Google Refine) is a tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data. OpenRefine always keeps data private on the user's own computer until the user wants to share…

Flatfile

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

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…

Learn More About Data Cleansing Tools

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

  • Quality Screens

    • 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.



Pricing Information


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.


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Frequently Asked Questions

What do Data Cleansing Tools do?

Data cleansing tools identify ‘dirty data’ and correct or remove corrupt, inaccurate, inconsistent, incomplete, outdated, and duplicate data. Having accurate data informs sound decision-making and increases the value of your data.

What are the benefits of using Data Cleansing Tools?

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.

How much do Data Cleansing Tools cost?

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.