Data quality software analyzes and inspects business data in order to determine if it’s reliable enough to be used for decision-making purposes. Compare and read user reviews of the best Data Quality software currently available using the table below. This list is updated regularly.
Twilio Inc.
FirstEigen
Melissa
Infosolve Technologies, Inc
QRA
Satori
Semarchy
Visokio
Zuar, Inc.
BDEX
RTTS
Sadas
CloverDX
Nintex
OvalEdge
Syncari
YData
Email Hippo
HighByte
Syscon Solutions
IRI, The CoSort Company
DAAS Labs
Immuta
Coginiti
DQOps
Decube
Adverity GmbH
Torana
BigID
Ataccama
Data Quality Software is a type of software that helps to ensure the accuracy and reliability of data stored in a variety of formats, from databases and spreadsheets to websites and cloud applications. The goal of data quality software is to provide accurate, consistent, and up-to-date information for businesses. Data quality can be a crucial factor in ensuring that businesses are able to make decisions based on reliable data.
Data Quality Software typically includes features such as data profiling, matching, validation, cleansing and enrichment. Data profiling identifies potential issues with the quality of the data (e.g., invalid values or out-of-date records) as well as trends or patterns among the values within a given dataset. Matching compares datasets across various sources to detect any discrepancies between them. Validation checks if incoming data matches an existing set of rules or thresholds so it can be determined whether the data is valid or not. Cleansing goes through each record in a dataset and fixes any errors or inconsistencies it finds while still preserving its core meaning. Finally, enrichment takes existing records with limited information and adds additional elements (such as full names, addresses or other details) based on various external sources such as third-party databases.
Data Quality Software also allows users to monitor their datasets over time so they can stay informed about any changes that occur in them. This feature allows users to identify potential problems early on before they become serious issues down the line. It also provides an audit trail so users can track back any modifications made over time which helps ensure compliance with regulatory standards such as GDPR or HIPAA regulations.
Overall, Data Quality Software helps organizations improve their decision-making by providing high-quality datasets that are free from errors and inconsistencies giving businesses access to reliable information when needed most!
The cost of data quality software can vary greatly, depending on the size and scope of your organization's needs. Generally speaking, smaller businesses can purchase basic data quality solutions for around $50 to $100 per month, while larger organizations may invest in more complex enterprise-level solutions that range from a few hundred to several thousand dollars per month. Some vendors will also offer one-time license purchases for specific features or services, for additional costs. Additionally, certain data quality products have additional fees based on the number of users and storage capacity needed. For businesses seeking an all-in-one solution with unlimited access and storage options, you may need to invest anywhere from $500 to thousands of dollars per year. Ultimately, different organizations will require varying levels of quality assurance and control over their data sets—and the price tag associated with these tools reflects those differences accordingly.
Data quality software can integrate with a variety of different types of software, such as enterprise resource planning (ERP) solutions, customer relationship management (CRM) systems, business intelligence (BI) solutions, and data integration platforms. ERP solutions are used to unify various aspects of a company's operations and automate core processes such as finance and accounting. CRM systems help companies manage customer interactions in order to market their products and services. BI solutions allow businesses to generate insights from large amounts of data so that they can make better decisions about their operations. Data integration platforms enable companies to pull data from multiple sources into one platform for analysis and reporting. By integrating these types of software with data quality software, businesses can ensure that the data they rely on is accurate, complete, and up-to-date.