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(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)

OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework: Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management Customer 360 View Data Governance Business Glossary Meta Data Management

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds.‍ You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem.‍

Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement.

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.

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.

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.

Realize the true potential of your first-party data. D&B Connect is a customizable, self-service master data management solution built to scale. Eliminate data silos across the organization and bring all your data together using the D&B Connect family of products. Benchmark, cleanse, and enrich your data using our database of hundreds of millions of records. The result is an interconnected, single source of truth that empowers your teams to make more confident business decisions. Drive growth and reduce risk with data you can trust. With a clean, complete data foundation, your sales and marketing teams can align territories with a full view of account relationships. Reduce internal conflict and confusion over incomplete or bad data. Strengthen segmentation and targeting. Increase personalization and the quality/quantity of marketing-sourced leads. Improve accuracy of reporting and ROI analysis.

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.

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.

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.

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.

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.

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.

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.

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.

Raise the accuracy of your CMDB data to 99%, and keep it there. Reduce source system determination times for incidents to zero. Gain complete transparency to risk and SLA exposure. Optimize service billing, eliminating under billing and clawbacks, while reducing manual billing and validation. Reduce maintenance and license costs associated with decommissioned and unsupported assets. Improve trust and transparency by eliminating major incidents, and reducing outage resolution times. Overcome limitations associated with Discovery tools and drive integration across your entire IT estate. Drive collaboration between ITSM and ITOM functions by integrating disparate IT data sets. Gain a holistic view of your IT environment through continuous CI validation across the broadest range of data sources. Blazent delivers data quality and integrity, driven by 100% data accuracy. We take all your IT and OT data from the broadest range of sources in the industry, and transform it into trusted data.

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.

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.

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.

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.

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.

With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation.

Syncari, a leader in data unification and automation, is modernizing enterprise master data with its innovative Autonomous Data Management platform. Syncari is revolutionizing how enterprises handle data by ensuring comprehensive accuracy, centralized governance, and democratized access. This approach facilitates near real-time decision-making and AI integration, enhancing observability and operations across multiple domains. By accelerating the speed to business impact, Syncari enhances decision-making capabilities and empowers organizations to fully leverage their data for substantial value extraction. Syncari ADM is one cohesive platform to sync, unify, govern, enhance, and access data across your enterprise. Experience continuous unification, data quality, distribution, programmable MDM, and distributed 360°.

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.

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.

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.

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.

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.

Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.

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.

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services. Oracle Enterprise Data Quality Address Verification Server adds integrated global address verification and geocoding capabilities onto an Oracle Enterprise Data Quality Server.

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

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.

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.

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.

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.

Rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. Trillium Quality is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources and enterprise infrastructures – including big data and cloud. Its data cleansing and standardization features automatically understand global data, such as customer, product and financial data, in any context – making pre-formatting and pre-processing unnecessary. Trillium Quality services deploy in batch or in real-time, on-premises or in the cloud, using the same rule sets and standards across an unlimited number of applications and systems. Open APIs let you seamlessly connect to custom and third-party applications, while controlling and managing data quality services centrally from one location.

The Convertr platform gives marketers visibility and control over data processes and lead quality to create higher performing demand programs. __________ Data impacts every area of your business, but outdated processes and quality issues hinder growth. Bad leads and poor data quality lowers marketing performance, slows sales, increases costs and causes inaccurate reporting. With the Convertr platform, your entire organization benefits and can stay focused on revenue driving activities instead of slow, manual data tasks. - Connect Convertr to your lead channels through API or data imports - Automate data processing to remove bad data and update lead profiles to your quality and formatting requirements - Integrate with your platforms or select protected CSV files to securely deliver leads - Improve reporting with Convertr analytics or through clean, consistent data sets across your tech stack - Enable your teams with globally compliant data processes

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.

Address quality software and geocoding. Validate, deduplicate and maintain accurate and deliverable address data. The data quality demonstrates the accuracy and completeness with which certain data represent the effective entity they refer to. Working for postal address verification and data quality means verifying, optimising and integrating the data in any address database so that it is reliable and functional to the purpose it was created for. In transports such as shipments, in data entry such as geomarketing, and in statistics such as mapping: there are numbers of sectors and operations which are based on the use of postal addresses. Quality archives and databases guarantee considerable economic and logistics savings for enterprise whose key to success is based on operations tuning. This is an added value which should not be underestimated to make work easier and more efficient. Egon is a data quality system online available directly by the web.

mediarithmics is the modern Customer Data Platform that helps enterprise players revolutionize growth by re-architecting consumer engagement at scale. We power real-time marketing personalization, cookie-less audience monetization, and agile data collaboration within a single technology solution. By de-siloing data across your business, we enable marketing, monetization, product, and data teams to action insights to create more compelling customer experiences.

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.

Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.

An AI-powered data management platform that enables true data democratization. Integrates & centralizes all data sources, facilitates collaboration, and empowers organizations for innovation, driven by Insights. SCIKIQ is a holistic business data platform that simplifies data complexities from business users through a no-code, drag-and-drop user interface which allows businesses to focus on driving value from data, thereby enabling them to grow, and make faster and smarter decisions with confidence. Use box integration, connect any data source, and ingest any structured and unstructured data. Build for business users, ease of use, a simple no-code platform, and use drag and drop to manage your data. Self-learning platform. Cloud agnostic, environment agnostic. Build on top of any data environment. SCIKIQ architecture is designed specifically to address the challenges facing the complex hybrid data landscape.

Claravine is redefining data integrity for the global enterprise. The Data Standards Cloud makes it easy for teams to standardize, connect, and control data collaboratively, across the organization. Leading brands use Claravine to take greater ownership and control of their data from the start, for better decisions, stickier consumer experiences, and increased ROI.

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.

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.

Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement.