Data Quality Software

Best Data Quality Software include:

ZoomInfo Operations, SAP Data Quality Management, Informatica Cloud Data Quality, SAP Data Services, D&B Connect, Oracle Enterprise Data Quality, InfoZoom, SAP Address and Geocoding Directories, IBM InfoSphere QualityStage and Data Quality Monitor.

All Products

(26-50 of 129)

26
Certica Solutions Certify

Certica Solutions offers Certify, a web-based enterprise data quality application that continually validates databases for business rule integrity, data quality requirements and potential compliance issues. Centralized, automated and designed to validate hundreds of millions of records…

27
Datafold
0 reviews

Datafold, from the company of the same name in San Francisco, is a data observability platform that helps companies prevent data catastrophes. It has the ability to identify, prioritize and investigate data quality issues proactively before they affect production.

28
Quality Match
0 reviews

Quality Match in Heidelberg offers technology focusing on creating actionable, quantitative metrics on dataset quality, that they state verifies and improves the quality of datasets for computer vision and machine learning.

Explore recently added products

29
Qualdo
0 reviews

Qualdo.ai provides monitoring , data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring. Available on Azure, AWS and Google cloud databases, Qualdoâ„¢ helps enterprises…

30
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…

31
Kili Technology

Kili Technology's training data platform helps businesses to transform unstructured data into high quality data to train their AI and deliver successful AI projects. Through building training datasets, Kili Technology aims to help teams improve their productivity, accelerate go-to-…

32
CitiusTech H-Scale

CitiusTech headquartered in Princeton offers H-Scale, an MDM and data lifecycle management platform for integrating and validating healthcare data from various systems, compatible with Hadoop distributions, and having the H-IQM data quality module, and H-CDP claims data validating…

33
Blue Tahiti Software

Blue Tahiti Software headquartered in Bristol offers a suite of data quality and integration services.

34
Enquero PowerMe from Genpact

PowerMe, from Genpact company Enquero, creates discoverable pool of Analytics and BI assets enabling business users to search, discover, and collaborate with data. PowerMe is an Integrated Analytics Catalog with built-in Data Quality and Data Lineage that aims to provide high-quality…

35
Data Quality Monitor

Data Quality Monitor is a data quality offering from German company Uniserv.

36
Data Quality Explorer

The Data Quality Explorer from German company Uniserv is a data quality offering.

37
Data Quality Real-Time Services

Data Quality Real-Time Services is a data quality offering from German company Uniserv.

38
Data Quality Batch Suite

The Data Quality Batch Suite from Uniserv is a data quality offering.

39
i/Lytics Enterprise Data Quality Suite

i/Lytics Enterprise Data Quality Suite is a data quality offering from Innovative Systems Inc (ISI).

40
i/Lytics Data Profiler

i/Lytics Data Profiler is a data quality offering from Innovative Systems Inc (ISI).

41
Integrate Demand Cloud

The Integrate Demand Cloud is a platform with a suite of tools that enable Demand Marketers and Marketing Ops to automate outbound demand generation campaigns. These include an ABM advertising and content syndication platform, as well as a Lead Gen Marketplace, and data quality…

42
ibi Data Quality

ibiâ„¢ Data Quality software engages both business and technical users with AI-assisted workflows, and a knowledge hub of reusable components for profiling, validating, and fixing enterprise data elements. It is designed to consistently improve the quality of data anywhere it enters…

43
Datactics Data Quality Suite
0 reviews

Datactics, headquartered in Belfast, Northern Ireland, offers data quality and matching software to help business teams across financial services and governments to tap into the riches of their data assets.

44
Addressfinder
0 reviews

47
DataRocket
0 reviews

48
Orion Data Validation Tool

The Orion Data Validation Tool is an integration validation tool that enables business data validation across integration channels to ensure data compliance. It helps achieve data quality using a wide variety of sources and platforms. The tool’s integration validation and machine…

49
LeverData
0 reviews

LeverData's proprietary platform addresses the biggest pain points felt by those who rely on large amounts of data every single day.Developed by quants and data analysts, the technology aggregates and ingests millions of data delivery metrics from hundreds of vendors across the world…

50
The Clareti Platform, from Gresham

Gresham Technologies is a software and services company that specialises in providing real-time data integrity and control solutions. Headquartered in the City of London, Gresham's Clareti software platform has been designed to provide financial institutions with complete certainty…

Learn More About Data Quality Software

What is Data Quality Software?

Data quality software tools are used by businesses to improve the consistency, accuracy, and overall completion of their data by analyzing sets of information and identifying any inaccuracies or gaps. Common categories for these tools include data observability, data cleansing, data auditing, and data migration. They are used heavily by data analysts, data scientists, and various Operations personnel for sales and marketing departments.

Data quality software helps improve an organization's data reliability, which is essential to providing a solid basis for effective decision-making. By detecting anomalies across multiple data sources, these tools help businesses achieve higher data completion. For instance, these tools may automatically correct typos, flag bad data entries, and view dependencies in a data stack. With the emergence of big data strategies, data quality improvement has become an essential process. Investing in these types of software is becoming a more popular course of action across business types.

With data quality tools becoming more used within organizations, it’s important to understand the strategies they use. They include:

  • Parsing and standardizing data: Data is broken up into multiple structured elements and then each element is standardized according to predefined rules.
  • Matching and merging data: Data records that look similar are automatically flagged as possible matches, and if they are found to be matches the records are then merged.
  • Case management: Some data records will be found to be incomplete or erroneous. This problematic data is automatically flagged and placed in a queue where it can be investigated and remediated later.
  • Address Verification: Validating address formats and verifying that the address represents a real physical location.

Data Quality Software Features

Some of the most common features found within data quality software products include:

  • Connectivity to multiple data sources
  • Data profiling and auditing to help find anomalies, hidden relationships between data elements
  • Seamless integration with Master Data Management (MDM) systems
  • Parsing and standardization of data elements according to pre-defined rules
  • Match and merge capability
  • Data format and valid address checking
  • Address validation

Data Quality Software Comparison

Consider these factors when comparing data quality software:

  • Scalability: For some products, the number of users and concurrent processes you plan to have within the system could cause some products to slow down their performance. If you plan to have multiple users, be sure the data quality tool is able to function at its normal performance under increased stress.
  • Ease of Use: The learning curve for some of the products may be steep for some developers if they aren’t already experienced using the kind of coding some of the tools contain. Many reviews highlight how easy to use or accessible a given data quality tool is to developers and business users.

Start a data quality software comparison here

Pricing Information

Most data quality software vendors do not provide transparent pricing information. Pricing can depend on factors like the number of data sources used and how many features are included in the product. For customized pricing, be sure to contact the vendor directly. Businesses should expect to pay for a data quality tool via a monthly subscription.

Related Categories

Frequently Asked Questions

What businesses benefit most from data quality software?

Any business with a lot of data can benefit from data quality tools, but they are particularly useful for businesses with multiple data sources pertaining to a single subject. For example, if a business has multiple data sources on a single customer, a data quality tool will help standardize that data.

Are there any free or open source data quality tools?

There aren’t many completely free data quality options, but many proprietary tools offer free trials that users can use to familiarize themselves with each data quality option before making a purchasing decision.

How can I best utilize a data quality tool?

Data quality tools will help you cleanse and standardise your data, but to get the most out of a data quality tool, a business should implement a data quality strategy across all of their applications that collect data. By combining data quality tools with a good data quality strategy, businesses can get more value out of every piece of data they collect.

What does data quality software do?

Data quality software is designed to ensure that business data is as reliable as possible. Data quality tools improve business data by detecting anomalies across multiple data sources, as well as cleansing and standardizing data for analysis.

What are the benefits of using data quality software?

Some key benefits to note for businesses when using data quality software include:

  • Availability of high-quality data for business intelligence projects and master data management.
  • Reduced time to implement data governance or compliance audits.
  • Consolidated views of customers and households enabling more effective cross and upselling.
  • Provision of research data for fraud detection and planning.