Best Data Quality Software in New Zealand - Page 5

Compare the Top Data Quality Software in New Zealand as of September 2024 - Page 5

  • 1
    Exmon

    Exmon

    Exmon

    Our solutions monitor your data around the clock to detect any potential issues in the quality of your data and its integration with other internal systems, so your bottom line isn’t impacted in any way. Ensure your data is 100% accurate before it’s transferred or shared between your systems. If something doesn’t look right, you’ll be notified immediately and that data pipeline will be stopped until the issue is resolved. We enable our customers to be regulatory compliant from a data standpoint by ensuring our data solutions adhere to and support specific governance policies based on your industry and the regions you work within. We empower our customers to gain greater control over their data sets by showing them that it can be easy to measure and meet their data goals and requirements, by leveraging our simple user interface.
  • 2
    Cleanlab

    Cleanlab

    Cleanlab

    Cleanlab Studio handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks. Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click. Explore the entire heatmap of suggested corrections for all classes in your dataset. Cleanlab Studio provides all of this information and more for free as soon as you upload your dataset. Cleanlab Studio comes pre-loaded with several demo datasets and projects, so you can check those out in your account after signing in.
  • 3
    APERIO DataWise
    Data is used in every aspect of a processing plant or facility, it is underlying most operational processes, most business decisions, and most environmental events. Failures are often attributed to this same data, in terms of operator error, bad sensors, safety or environmental events, or poor analytics. This is where APERIO can alleviate these problems. Data integrity is a key element of Industry 4.0; the foundation upon which more advanced applications, such as predictive models, process optimization, and custom AI tools are developed. APERIO DataWise is the industry-leading provider of reliable, trusted data. Automate the quality of your PI data or digital twins continuously and at scale. Ensure validated data across the enterprise to improve asset reliability. Empower the operator to make better decisions. Detect threats made to operational data to ensure operational resilience. Accurately monitor & report sustainability metrics.
  • 4
    Qualdo

    Qualdo

    Qualdo

    We are a leader in Data Quality & ML Model for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Algorithms to track Data Anomalies in Azure, GCP & AWS databases. Measure and monitor data issues from all your cloud database management tools and data silos, using a single, centralized tool. Quality is in the eye of the beholder. Data issues have different implications depending on where you sit in the enterprise. Qualdo is a pioneer in organizing all data quality management issues through the lens of multiple enterprise stakeholders, presenting a unified view in a consumable format. Deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance.
  • 5
    Validio

    Validio

    Validio

    See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.
  • 6
    INQDATA

    INQDATA

    INQDATA

    Cloud-based Data Science platform delivering intelligently curated and cleansed data, ready to be consumed. Firms face significant challenges, resource constraints, and high costs when managing their data before they can start adding any value. The data is ingested, cleansed, stored, accessed, and only then analyzed. But the analysis is where the value is. Our solution allows clients to focus on core business activities, not on the expensive, resource heavy data lifecycle. We take care of that. Cloud-native platform for real-time streaming analytics that fully leverages the benefits of cloud architecture to enable INQDATA to deliver fast scalable historical and real-time data without the complexity of infrastructure.
  • 7
    Shops United

    Shops United

    Shops United

    The delivery of parcels is the business card of an online store. Paying sufficient attention to the logistics process of your online store is therefore essential. Shops United is an expert in the field of fast and cheap parcel shipping and offers you a complete shipping solution for all your parcels at home and abroad. Our unique web application is extremely suitable for any webshop. Whether you manage a small, medium or large webshop; we offer you the best of any supplier. Thanks to our many years of experience, we have built up large volume contracts with various suppliers, all of which are now under the roof of our system. In addition to the choice of PostNL and DHL, you can also choose with our system whether you want to enter your shipments manually or whether you want to import them (automatically) from well-known web store software providers such as Lightspeed, Magento, Shopify, Shoppagina and CCV Shop.
  • 8
    Spectrum Quality
    Extract, normalize, and standardize your data across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Precisely applies supervised machine learning neural network-based techniques to understand the structure and variations of different types of information and parses data automatically. Spectrum Quality is ideally suited for global client bases that require multi-level data standardization and transliteration for multiple languages and culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing enables information extraction from any natural language input text and assigns categories to unstructured text. Using pre-trained models and machine learning based algorithms, you can extract entities and further train and customize your models to define specific entities of any domain or type.
  • 9
    Informatica Data Quality
    Deliver tangible strategic value, quickly. Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation. 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. Empower business users and facilitate collaboration between IT and business stakeholders. Manage the quality of multi-cloud and on-premises data for all use cases and for all workloads. Incorporates human tasks into the workflow, allowing business users to review, correct, and approve exceptions throughout the automated process. Profile data and perform iterative data analysis to uncover relationships and better detect problems. Use AI-driven insights to automate the most critical tasks and streamline data discovery to increase productivity and effectiveness.
  • 10
    SAS Data Quality

    SAS Data Quality

    SAS Institute

    SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data. You’ll work faster and more efficiently – and, with role-based security, you won’t put sensitive data at risk. Data quality isn’t something you do just once; it’s a process. We help you at every stage, making it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality. Only SAS delivers this much breadth and depth of data quality knowledge. We’ve experienced it all – and integrated that experience into our products. We know that data quality can mean taking things that look wrong and seeing if they’re actually right. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the power to update and tweak data themselves, so IT is no longer spread too thin. Out-of-the-box capabilities don’t require extra coding.
  • 11
    Innodata

    Innodata

    Innodata

    We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date.
  • 12
    Synthesized

    Synthesized

    Synthesized

    Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live.
  • 13
    DQLabs

    DQLabs

    DQLabs, Inc

    DQLabs has a decade of experience in providing data related solutions to fortune 100 clients around data integration, data governance, data analytics, data visualization, and data science-related solutions. The platform has all the inbuilt features to make autonomous execution without any manual or configuration. With this AI and ML-powered tool, scalability, governance, and automation from end to end are possible. It also provides easy integration and compatibility with other tools in the data ecosystem. With the use of AI and Machine Learning, the decision is made possible in all aspects of data management. No more ETL, workflows, and rules – leverage the new world of AI decisioning in data management as the platform learns and reconfigures rules automatically as business strategy shifts and demands new data patterns, trends.