Data Cleansing Tools
Best Data Cleansing Tools include:
Data Cleansing Tools TrustMap
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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…
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.
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…
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 (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.…
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.
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, 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,…
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…
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.