Best Data Quality Software of 2024

Find and compare the best Data Quality software in 2024

Use the comparison tool below to compare the top Data Quality software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Shops United Reviews
    An online store's business card is its delivery of parcels. It is important to pay attention to the logistics of your online shop. Shops United is a specialist in fast and affordable parcel shipping and can provide a complete shipping solution for all of your parcels, both at home and abroad. Our web application is perfect for any webshop. We offer the best in any supplier, no matter how small or large your webshop is. We have many years of experience and have developed large volume contracts with numerous suppliers. All of these are now part of our system. You can choose to have your shipments shipped via PostNL or DHL. Or, import them automatically from well-known webstore software providers like Shopify, Shopify, Shoppagina, Lightspeed, Magento, Shoppagina, CCV Shop.
  • 2
    Spectrum Quality Reviews
    Standardize your data across multiple formats and inputs by extracting, normalizing, and standardizing it. Normalize all information, both business and personal, structured or unstructured. The supervised machine learning neural networks-based techniques are used to precisely understand the structure and variations in different types of information. Data is automatically parsed using these techniques. Spectrum Quality is well-suited for global clients who require multi-level data standardization, transliteration, and translation for multiple languages and culturally relevant terms. This includes those in Arabic and Chinese, Japanese, Korean, and Japanese. Our text-processing technology allows information extraction from any input text in natural languages and assigns categories to unstructured texts. You can use pre-trained models and machine-learning based algorithms to extract entities and further train your models to customize your models to identify specific entities of any type or domain.
  • 3
    Informatica Data Quality Reviews
    Deliver tangible strategic value, quickly. With AI-driven automation, you can ensure end-to-end support of data quality requirements across users and data types. No matter what type of initiative your organization is working on--from data migration to next-gen analytics--Informatica Data Quality has the flexibility you need to easily deploy data quality for all use cases. Facilitate collaboration between IT and business stakeholders and empower business users. All use cases and all workloads require management of the quality of multicloud and on-premises data. Integrates human tasks into the workflow. Business users can review, correct, or approve exceptions during the automated process. To uncover relationships and detect problems, profile data is used to perform iterative analysis of data. AI-driven insights can automate the most important tasks and simplify data discovery to increase productivity.
  • 4
    SAS Data Quality Reviews
    SAS Data Quality is available to you wherever you are. It addresses your data quality issues without you having to move your data. You will work faster and more efficiently, and sensitive data won't be at risk with role-based security. Data quality is not something you do once. It's a process. We can help you at each stage. It's easy to identify and fix problems, preview data and set up repeatable processes that will ensure data quality. SAS is the only company that can provide this level of data quality knowledge. SAS has been there and done it all. We have incorporated that experience into our products. Data quality can be as simple as looking at things wrongly and then confirming that they are correct. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the ability to update and modify data, so IT is not spread too thin. Out-of-the-box capabilities don't require extra coding.
  • 5
    Innodata Reviews
    We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.
  • 6
    Synthesized Reviews
    Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.
  • 7
    DQLabs Reviews

    DQLabs

    DQLabs, Inc

    DQLabs has over a decade of data-related experience for Fortune 100 clients. This includes data integration, data governance and data visualization. The platform comes with all the features necessary to enable autonomous execution without any configuration or manual intervention. This AI-powered tool can automate every aspect of scaling, governance, and automation. It can also be integrated and compatible with other tools within the data ecosystem. Machine Learning and AI make it possible to make decisions in all aspects data management. No more ETL, workflows and rules. The platform automatically learns and reconfigures rules as the business strategy changes and requires new data patterns and trends.