Qualytics Alternatives

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)

Empower enterprise data teams to proactively prevent costly outages, before they occur. Quickly scale data quality checks across enterprise data pipelines with efficient time-bound pushdown queries — without compromising performance. Proactively monitor and identify data anomalies, leveraging prebuilt DQ-specific AI models — without manual threshold setting. Lightup’s out-of-the-box solution gives you the highest level of data health so you can make confident business decisions. Arm stakeholders with data quality intelligence for confident decision-making. Powerful, flexible dashboards provide transparency into data quality and trends. Avoid data silos by using Lightup’s built-in connectors to seamlessly connect to any data source in your data stack. Streamline workflows by replacing manual, resource-intensive processes with automated and accurate data quality checks.

TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary.

A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts.

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

Your zero-touch copilot for data quality, spending, performance, and usage. Your data team won’t be the last to know about broken analytics or bottlenecks. We pull out anomalies and alert you right away. Improve your data quality and eliminate downtimes. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation. Reduce and optimize costs, and allocate resources effectively. We slice and dice your spending areas by warehouse, user, and query. When spending trends the wrong way, you get a notification. Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources. Say goodbye to manual data checks with automated monitoring built on your data warehouse. You can find the root cause and solve issues within minutes before they affect your downstream users.

Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.

Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

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.

Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.

The only Data Observability platform that provides complete control of enterprise data systems. Provides comprehensive, cross-sectional visibility into complex, interconnected data systems. Synthesizes signals across workloads, data quality, infrastructure and security. Improves data processing and operational efficiency. Automates end-to-end data quality monitoring for fast-changing, mutable datasets. Acceldata provides a single pane of glass to help predict, identify, and fix data issues. Fix complete data issues in real-time. Observe business data flow from a single pane of glass. Uncover anomalies across interconnected data pipelines.

Boost the quality of your data in-motion and at-rest with enhanced monitoring, visualization, remediation, and reconciliation. Data quality should be a part of your company’s DNA. Expand beyond basic data quality checks to obtain a detailed view of your data throughout its journey across your organization, wherever the data resides. Ongoing quality monitoring and point-to-point reconciliation is fundamental to building data trust and delivering consistent insights. Data360 DQ+ automates data quality checks across the entire data supply chain from the time information enters your organization to monitor data in motion. Validating counts & amounts across multiple and disparate sources, tracking timeliness to meet internal or external SLAs, and checks to ensure totals are within determined limits are examples of operational data quality.

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.

Whether you’re preparing for a data migration, looking to achieve reliable customer insight, or complying with regulation, you can rely on our data quality management solutions. With Experian, it means powerful data profiling, data discovery, data cleansing and enrichment, process orchestration, and the ability to run full-volume analyses, among other things. Getting insight into your business’s data is now easier and faster than ever before. Our solutions allow you to seamlessly connect to hundreds of data sources to remove duplicates, correct errors, and standardize formats. With improved data quality, comes a more comprehensive view of your customers, business operations, and more.

Customer data is omnipresent in our lives, cell phones, social media, IoT, CRM, ERP, marketing, the works. The data companies capture is overwhelming. But often under-leveraged, incomplete or even totally incorrect. Uncontrolled and low-quality data can disorganize any company, risking major opportunities for growth. Customer data needs to be the point of synergy of all a company’s processes. It is absolutely critical to guarantee the data is reliable and accessible to all, at all times. The DQE One solution is for all departments leveraging customer data. Providing high-quality data ensures confidence in every decision. In the company's databases, contact information from multiple sources pile up. With data entry errors, incorrect contact information, or gaps in information, the customer database must be qualified and then maintained throughout the data life cycle so it can be used as a reliable repository.

Waaila is a comprehensive application for automatic data quality monitoring, supported by a global community of hundreds of analysts, and helps to prevent disastrous scenarios caused by poor data quality and measurement. Validate your data and take control of your analytics and measuring. They need to be precise in order to utilize their full potential therefore it requires validation and monitoring. The quality of the data is key for serving its true purpose and leveraging it for business growth. The higher quality, the more efficient the marketing strategy. Rely on the quality and accuracy of your data and make confident data-driven decisions to achieve the best results. Save time, and energy, and attain better results with automated validation. Fast attack discovery prevents huge impacts and opens new opportunities. Easy navigation and application management contribute to fast data validation and effective processes, leading to quickly discovering and solving the issue.

Up to 20 percent of a company’s contacts contain bad data according to industry experts; resulting in returned mail, address correction fees, bounced emails, and wasted sales and marketing efforts. Use the Data Quality Suite to standardize, verify and correct all your contact data, postal address, email address, phone number, and name for effective communications and efficient business operations. Verify, standardize, & transliterate addresses for over 240 countries. Use intelligent recognition to identify 650,000+ ethnically-diverse first & last names. Authenticate phone numbers, and geo-data & ensure mobile numbers are live & callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email, or phone.

The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.

The Data Quality Analysis – by Vertify – delivers a preview of the overall health of marketing’s greatest asset, the contact database. The Synthio – by Vertify – Data Quality Analysis delivers a preview of the overall health of marketing’s greatest asset, the contact database. The DQA will give you an overview of the validity of your email addresses, tell you what percentage of your contacts have moved on to a new company, and also, allow you to get a glimpse of the number of contacts that you could be missing out on in your marketing database. Synthio – by Vertify – integrates with leading CRM and MAP systems to automate data cleansing, enrichment, and origination.

Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.

Data plays a key role in many company areas, such as sales, marketing and finance. To get the best out of the data, it must be maintained, protected and monitored over its entire life cycle. Data quality is a core element of Uniserv company philosophy and the product offers it makes. Our customised solutions make your customer master data the success factor of your company. The Data Quality Service Hub ensures high level customer data quality at every location in your company – and at international level. We offer you correction of your address information according to international standards and based on first-class reference data. We also check email addresses, telephone numbers and bank data at different levels. If you have redundant items in your data, we can flexibly search for duplicates according to your business rules. These items found can be mostly consolidated automatically based on prescribed rules, or sorted for manual reprocessing.

The ultimate platform for expanding your business horizons with data-driven decisions. Improve every step of your supply chain journey. Our no-code platform enhances the quality of master data to offer you a set of optimization solutions, from inventory planning to distribution network. Relying on trusted data-driven analytics, you can proactively prevent critical issues from arising, making crucial real-time adjustments. Build trust in your data and manage them with confidence. Our user-friendly platform empowers financial institutions with transparent data-driven insights to improve key financial processes. We put eXplainable AI in the hands of business experts, so they can develop advanced financial models and improve decision-making. Rulex Academy will teach you all you need to know to analyse your data, build your first workflows, get to grips with algorithms, and quickly optimize complex processes with our self-paced, interactive online training courses.

D&B Optimizer removes bad data. Sales People who trust their CRM will be far more effective and will always have correct, updated data resulting in pin-sharp targeting and a massively better customer experience. And a happy, successful salesforce! D&B Optimizer is a secure cloud-based platform to enhance your marketing and sales data, helps you profile your best opportunities, and reach your target audiences. It comes loaded with advanced analytics and easy integration into your marketing systems with connectors for Salesforce and Microsoft. D&B Optimizer not only unlocks the value of your current data but enhances the new data you collect every day while driving more effective segmentation and targeting to accelerate growth in your business. Keeping data up to date is an uphill struggle for sales and marketing teams. In fact, Salesforce estimates that 91 percent of CRM data is incomplete and 70 percent of that data decays annually.

In today’s world, leading organizations are leveraging data to win over their competitors, ensure customer satisfaction and find new business opportunities. At the same time, industry-specific regulations and data privacy rules are challenging traditional technologies and processes. Data quality is now a must-have for any organization but it often stops at the doors of the BI/analytics software. Wiiisdom Ops helps your organization ensure quality assurance within the analytics component, the last mile of the data journey. Without it, you’re putting your organization at risk, with potentially disastrous decisions and automated disasters. BI Testing at scale is impossible to achieve without automation. Wiiisdom Ops integrates perfectly into your CI/CD pipeline, guaranteeing an end-to-end analytics testing loop, at lower costs. Wiiisdom Ops doesn’t require engineering skills to be used. Centralize and automate your test cases from a simple user interface and share the results.

Data has the power to disrupt markets and break new boundaries, but only when it’s trusted and understood. By leveraging our AI/ML-enhanced, cloud-based solution built with 25 years of best practices and proven data quality reports, stakeholders in your organization can work together to crowdsource data excellence. Quickly identify data quality issues and expedite remediation with embedded best practices and hundreds of pre-built reports. Cleanse data in advance of, or during, data migration, and track data quality in real-time with customizable data intelligence dashboards. Continuously monitor data objects and automatically initiate remediation workflows and direct them to the appropriate data owners. Consolidate data in a single, cloud-based platform and reuse knowledge to accelerate future data initiatives. Minimize effort and improve outcomes with every data stakeholder working in a single system.

Digna is an AI-powered anomaly detection solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies. In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; it’s a partner in your journey towards impeccable data quality.

Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.

Your lead data management platform. Capture, qualify and synchronize lead data with your systems. Capture, qualify, nurture and convert faster, better, and cheaper. Capture any source of lead data and get more data points with the minimum effort and highest quality. Qualify leads with your notes and questions before you send them to your marketing and sales tools. Synch all contact data with your sales and marketing platform and trigger your conversion processes.

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.

DataMatch Enterprise™ solution is a highly visual data cleansing application specifically designed to resolve customer and contact data quality issues. The platform leverages multiple proprietary and standard algorithms to identify phonetic, fuzzy, miskeyed, abbreviated, and domain-specific variations. Build scalable configurations for deduplication & record linkage, suppression, enhancement, extraction, and standardization of business and customer data and create a Single Source of Truth to maximize the impact of your data across the enterprise.

The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.

CLEAN_Data is a collection of enterprise data quality solutions for managing the challenging and ever changing profiles of employee, customer, vendor, student, and alumni contact data. Our CLEAN_Data solutions are crucial in managing your enterprise data integrity requirements. Whether you are processing your data in real-time, batch, or connecting data systems, Runner EDQ has an integrated data solution your organization can rely on. CLEAN_Address is the integrated address verification solution that corrects and standardizes postal addresses within Oracle®, Ellucian® and other enterprise systems (ERP, SIS, HCM, CRM, MDM). Our seamless integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing. Real time address verification in all address entry pages using native fields in your SIS or CRM. Integrated batch processing corrects and formats your existing address records.

Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools.

The BiG EVAL solution platform provides powerful software tools needed to assure and improve data quality during the whole lifecycle of information. BiG EVAL's data quality management and data testing software tools are based on the BiG EVAL platform - a comprehensive code base aimed for high performance and high flexibility data validation. All features provided were built by practical experience based on the cooperation with our customers. Assuring a high data quality during the whole life cycle of your data is a crucial part of your data governance and is very important to get the most business value out of your data. This is where the automation solution BiG EVAL DQM comes in and supports you in all tasks regarding data quality management. Ongoing quality checks validate your enterprise data continuously, provide a quality metric and supports you in solving the quality issues. BiG EVAL DTA lets you automate testing tasks in your data oriented project.

Optic, our data fabric enabler, is an autonomous and intelligent data cataloging product, based on a unified data management architecture. Empower your business users by creating a modern data culture with democratized data & intelligence assets, with an added layer of intelligent governance, leading to better workplace productivity. Maximize your ROI by creating a data marketplace where you can easily access valuable insights in less time with Optic. Optic uses embedded Artificial Intelligence to autonomously understand all types of data assets, including datasets, documents, APIs, ML models, BI reports, and more, autonomously crawling and smartly cataloging all their metadata. Optic auto-publishes and auto-syncs data and auto-updates metadata for consumption, increasing productivity for all data personas. Smart data crawling identifies hidden entities and creates knowledge assets. AI-driven, persona-specific recommendations, and search pattern analysis help personalize information.

What is Melissa Clean Suite? Melissa’s Clean Suite (previously Melissa Listware) fights dirty data in your Salesforce®, Microsoft Dynamics CRM®, or Oracle CRM and ERP platforms by verifying, standardizing, correcting and appending your customer contact data records. The result – clean, vibrant, valuable data you can use for squeaky clean omnichannel marketing and sales success. • Autocomplete, verify and correct contacts before they enter the CRM • Add valuable demographic and firmographic data for effective lead scoring, targeting and segmentation • Keep contacts clean and up-to-date for improved sales follow up and marketing initiatives •Protect the quality of your customer data with real-time, point of entry data cleansing or batch processing Data drives every aspect of customer communication, decision making, analytics and strategy. But, dirty data – stale, incorrect or incomplete data – leads to an inaccurate view of your customers, inefficient operations

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.

Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required.

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.

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.

Native to Azure, DQ on Demand™ is architected to provide incredible performance and scalability. Switch data providers with ease and enhance your customer data on a pay-as-you-go basis by plugging straight into our DQ on Demand™ web services, providing you with an easy-to-access data quality marketplace. Many data services are available including data cleansing, enrichment, formatting, validation, verification, data transformations, and many more. Simply connect to our web-based APIs. Switch data providers with ease, giving you ultimate flexibility. Benefit from complete developer documentation. Only pay for what you use. Purchase credits and apply them to whatever service you require. Easy to set up and use. Expose all of our DQ on Demand™ functions right within Excel for a familiar, easy-to-use low-code no-code solution. Ensure your data is cleansed right within MS Dynamics with our DQ PCF controls.

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.

Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance.

Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.

Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics.

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.

Profile, cleanse, match and deduplicate data in drag-and-drop rules studio. Lo-code UI means no programming skill required, putting power in the hands of subject matter experts. Add AI & machine learning to your existing data management processes In order to reduce manual effort and increase accuracy, providing full transparency on machine-led decisions with human-in-the-loop. Offering award-winning data quality and matching capabilities across multiple industries, our self-service solutions are rapidly configured within weeks with specialist assistance available from Datactics data engineers. With Datactics you can easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk Officers. Augment data matching into Legal Entity Masters for Client Lifecycle Management.

FSWorks™ offers robust graphical interfaces that display quality & production data in real-time, providing immediate factory insights. FS.Net™ connects it with quality analysis, process performance insights and compliance reporting on-site or remotely wherever you are. Our philosophy is simple: We partner with our clients and go above and beyond to help you accomplish your goals. We are a dynamic company and everyone on our team is empowered to make decisions according to the Symbrium Way. Factory Systems™ provides Statistical Process Control (SPC) software, rugged factory floor workstations, Enterprise Quality Data Management Systems, Supervisory Control and Data Acquisition (SCADA) systems, Operational Equipment Effectiveness (OEE) systems, ANDON systems, Process Monitoring systems, Human Machine Interface (HMI) solutions, Part ID and Tracking systems and other pre-packaged and custom software tools and hardware solutions to manufacturing and product testing operations worldwide.

Data Ladder is a data quality and cleansing company dedicated to helping you "get the most out of your data" through data matching, profiling, deduplication, and enrichment. We strive to keep things simple and understandable in our product offerings to give our customers the best solution and customer service at an excellent price. Our products are in use across the Fortune 500 and we are proud of our reputation of listening to our customers and rapidly improving our products. Our user-friendly, powerful software helps business users across industries manage data more effectively and drive their bottom line. Our data quality software suite, DataMatch Enterprise, was proven to find approximately 12% to 300% more matches than leading software companies IBM and SAS in 15 different studies. With over 10 years of R&D and counting, we are constantly improving our data quality software solutions. This ongoing dedication has led to more than 4000 installations worldwide.