You can use data quality tools to ensure that your data is clean and reliable. Some tools can be integrated with other applications and processes, while others are standalone tools. For example, a data quality management system can consolidate your contacts, customer records, and email marketing lists. Some vendors expose their data quality functions through APIs or SDKs, making it easier to incorporate data quality management into existing applications. These tools also can act as a data quality firewall, preventing bad data from entering your applications.

Trillium

Trillium’s data quality tools help Data Stewards control data performance, develop business rules, deploy quality services, and manage data conditions. These tools support the data governance and best practices approaches to data management, and they enable collaborative development of quality services with IT. In addition, Trillium supports data integration and MDM projects.

Trillium DQ supports data quality across applications and is available for cloud and on-premises deployment. It offers global coverage and supports over 230 countries, as well as integration across numerous architectures. Moreover, it can uncover relationships among records, and it can even add missing data such as latitude and longitude. It also supports various data domains such as geospatial and reference data.

The software is scalable, allowing organizations to adapt to rapidly-changing data sources and business requirements. In addition, it can support cloud, big data, and global data, and it supports open APIs. The software’s flexible architecture allows users to deploy Trillium quality tools in real-time or batch mode, and it is available to a wide range of application and system types.

Informatica

The Informatica Data quality tools are a set of tools for analyzing, profiling, and standardizing data. They help users identify errors in data, invalid values, and duplicate records. They also help identify patterns and values in data. Users can also use these tools to create standardized and high-level management reports.

With the Data Quality tool, users can create mapping specifications to join multiple sources of data. They can also apply aggregations and all types of functions to the data set. A profiling tool is also available for creating scorecards. The Data Quality tool is available in two versions: the Developer tool is for creating simple mappings, and the Analyst tool is for more complex data quality.

The developer tool is a client-based application that enables developers to create data quality transformations. It includes an editor and a variety of data quality tools, such as address validator and match-merge. The developer application also includes guidance for data platform design. Users can also deploy their DQ transformations as web services.

Ataccama

Ataccama Data Quality Tools are data quality management solutions that help organizations manage and improve the quality of their data. They feature an intuitive, user-friendly interface and are compatible with any volume of data. They are available on-prem and in the cloud. They are a great choice for data teams that want to improve the quality of their data while increasing the speed of their work. They offer a full range of data quality controls, a trend analysis dashboard, and custom processing rules.

In addition to providing data quality tools, Ataccama also provides an augmented data management platform that offers text analytics, machine learning, data enrichment from external sources, and data lake profiling. The company’s suite of tools allows users to create custom data quality policies that meet the specific needs of their organizations.

The report includes historical and forecast data, as well as analysis of the major players in the Data Quality Tools market. It also includes company profiles and market shares by geography. It provides insights into the key market drivers, challenges, and risks. It also covers market structure and historical data from 2017 to 2021.

Oracle

Oracle Data Quality Tools is a software program that can be used to maintain stored information. It can mesh with other applications to make sure data is complete and accurate. Its features include master data management, data governance, and integration with CRM applications. One company that offers a flexible data quality tool is Uniserv. The company also offers good training.

Data quality is an important topic in any business and Oracle’s tools are designed to support the entire process. As such, the data quality tools that Oracle provides can help a variety of industries. Choosing the best tool for your needs can be difficult, but there are many options to consider. These tools can help you ensure the highest quality data and minimize costs for your organization.

EDQ is a web-based data quality tool that can process different file formats and read data from database tables. The tool also allows you to create jobs and enable data quality processes as web services.