Alternatives to SAS Data Quality

OpenDQ is a zero-cost enterprise data quality, master and governance solution. OpenDQ is modularly built and can scale to meet your enterprise data management requirements. OpenDQ provides trusted data using a machine learning- and artificial intelligence-based framework. Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management 360 View of Customer Data Governance Business Glossary Meta Data Management

Cloudingo makes managing customer data super simple, from deduping to importing to migrating. Salesforce is great for managing customers. Salesforce is great for managing customers. But it falls short when it comes to data quality. Data quality is a problem. There are duplicate records, customer data that doesn’t make sense, and reports that are a little...off. Do you sound familiar? You can only merge dupes one by one, native solutions, custom codes, and spreadsheets. It shouldn't be a problem to ensure the accuracy of customer data. Or spend a lot of time cleaning up and managing Salesforce. You've wasted too much time putting at risk relationships, losing opportunities, and dealing in chaos. It's time for you to change it. Imagine a tool that transforms your Salesforce data from a messy, confusing, and unreliable mess into a lead-nurturing, sales-producing machine.

Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools.

Trusted by thousands of Salesforce administrators, the #1 global data quality tool. Increase productivity when managing large data sets. Identify duplicate data in any database table and remove them. Multi-table mass manipulation and standardization for Salesforce objects. A robust, customizable tool set can boost lead conversion. DemandTools' feature-rich data quality toolset allows you to clean, standardize, compare, and much more with DemandTools. Validity Connect gives you access to the EmailConnect module, which allows you to verify bulk email addresses on Contacts or Leads.

Clean & Match, WinPure's award winning data cleansing and data matching software suite is designed to improve the accuracy of consumer or business data. This software suite can be used to clean, correct, and deduplicate mailing lists, spreadsheets, CRMs, and databases. WinPure™, Clean & Match will save your business money and time. * Increase accuracy of any list, spreadsheet, database, CRM, etc. * Windows software is locally installed so you don't have to worry about security. All processing takes place on your own systems. * Use built-in phonetic and fuzzy match algorithms to save hours cleaning duplicate records from your databases or lists. * Low-cost licences with World Class Support & Training. * Free Demo with Live Online Training Available

Our solutions monitor data 24 hours a day to detect any potential problems in the quality of data and its integration into other internal systems. This ensures that your bottom line will not be affected in any way. Verify that your data is accurate before it is transferred or shared among your systems. You'll be notified if something is not right and the data pipeline will be halted until it's resolved. Our data solutions are tailored to your industry and region to ensure regulatory compliance. Our customers are empowered to gain greater control of their data sets when we show them how easy it is to measure and meet data goals and requirements by leveraging our user interface.

Drag-and-drop rules studio allows you to profile, clean, match, and deduplicate data. Lo-code UI is a user interface that requires no programming skills. This puts power in the hands subject matter experts. You can add AI and machine learning to your existing data management process to reduce manual effort, increase accuracy, and provide full transparency on machine-led decisions. Our self-service solutions offer award-winning data quality, matching capabilities across multiple industries and are quickly configured with specialist assistance from Datactics data engineers. Datactics makes it easy to measure data against industry and regulatory standards, fix breaches in bulk, and push into reporting tools. Chief Risk Officers have full visibility and audit trails. Datactics can be used to augment data matching with Legal Entity Masters to manage client lifecycle management.

The Convertr platform gives marketers visibility and control over data processes and lead quality to create higher performing demand programs. When you take control of your lead processes in the beginning, you build more scalable operations and strategic teams that can stay focused on revenue driving activities. Improve Productivity: Weeks to months of manual lead data processing can be reallocated to revenue driving activities Focus on Performance: Teams work off trusted data to make better decisions and optimize programs Drive Data Alignment: Data moves between teams and platforms in usable, analyzable formats

Data Ladder is a data cleansing and quality company that helps you "get the best out of your data." We offer data matching, profiling and deduplication as well as enrichment. Our product offerings are simple and easy to understand. This allows us to provide excellent customer service and a great solution for our customers. Our products are used by Fortune 500 companies. We are proud of our reputation for listening to our customers, and constantly improving our products. Our powerful, user-friendly software allows business users from all industries to manage their data more efficiently and improve their bottom line. DataMatch Enterprise, our data quality software suite, found approximately 12%-300% more matches than the leading software companies IBM or SAS in 15 different studies. We have over 10 years of experience in R&D and counting. We are constantly improving our data-quality software solutions. This dedication has resulted in more than 4000 installations around the world.

CLEAN_Data is a collection enterprise data quality solutions that can be used to manage the ever-changing profiles of alumni, customer, vendor, student and employee contact data. CLEAN_Data solutions are essential in managing enterprise data integrity requirements. Runner EDQ offers integrated data solutions that can be relied upon, regardless of whether you're processing data in real-time or batch. CLEAN_Address is an integrated address verification solution that corrects, standardizes postal addresses within Oracle®, Ellucian® and other enterprise system (ERP, SIS HCM, CRM, MDM, MDM). Our seamless integration allows address correction at the point-of-entry and for existing data via batch or change of address processing. All address entry pages can be verified in real time using native fields from your CRM or SIS. Integrated batch processing formats and corrects existing address records.

Your one-touch copilot to data quality, spend, performance and usage. Your data team will not be the last one to learn about bottlenecks or broken analytics. We detect anomalies and alert users immediately. Eliminate downtimes and improve data quality. You'll be the one to know when performance starts to trend in the wrong direction. We help you make the connection between data usage, resource allocation and cost. Reduce costs and allocate resources efficiently. We can slice and dice spending by warehouse, user and query. You will be notified when spending starts to trend in the wrong direction. Get insights into the impact of underutilized data on your business. Revefi is constantly on the lookout for waste and will alert you to opportunities that can be better rationalized. With automated data monitoring built into your data warehouse, you can say goodbye to manual data checking. You can solve problems and find the root causes within minutes, before they impact your downstream users.

DataMatch Enterprise™, a highly visual data cleansing tool, is specifically designed to address customer and contact data quality problems. The platform uses a variety of proprietary and standard algorithms to identify phonetic and domain-specific variations. You can create scalable configurations that allow for deduplication, record linkage, suppression enhancement, extraction, standardization, standardization, and standardization of customer and business data. This will maximize the impact of your data throughout the enterprise.

Geocoding and address quality software. Validate, deduplicate, and maintain accurate and deliverable address information. Data quality is the ability to verify the accuracy and completeness of certain data. Data quality and postal address verification involves integrating data into any address database to ensure it is reliable and serves its intended purpose. There are many sectors and operations that rely on postal addresses, such as shipping and data entry, such as geomarketing and statistics, such as transportation. Operations tuning is key to ensuring significant logistics and economic savings for enterprises. This add-value is important to make work easier, more efficient. Egon is an online data quality system that can be accessed via the internet.

Empower enterprise data teams with the ability to prevent costly outages before they happen. With efficient time-bound queries, you can quickly scale data quality checks throughout enterprise data pipelines without compromising performance. Utilizing AI models that are specific to DQ, you can monitor and identify data anomalies without having to manually set thresholds. Lightup's solution provides you with the highest level of data quality so you can make confident decisions. Data quality intelligence will help you make confident decisions. Dashboards that are flexible and powerful provide transparency on data quality and trends. Lightup's built in connectors allow you to connect seamlessly to any data source within your data stack. Replace manual, resource-intensive data quality checks with automated ones to streamline workflows.

Experian Data Quality is a leader in data quality and data management solutions. Our comprehensive solutions can validate, standardize and enrich customer data. We also profile and monitor it to ensure that it is suitable for purpose. Our software can be customized to any environment and any vision with flexible SaaS or on-premise deployment models. Real-time address verification solutions allow you to keep your address data current and preserve the integrity of your contact information. Comprehensive data quality management solutions allow you to analyze, transform, and manage your data. You can even create data processing rules specific to your business. Experian Data Quality's phone validation tools can help you improve your mobile/SMS marketing efforts.

Deliver tangible strategic value, quickly. With AI-driven automation, you can ensure end-to-end support of data quality requirements across users and data types. No matter what type of initiative your organization is working on--from data migration to next-gen analytics--Informatica Data Quality has the flexibility you need to easily deploy data quality for all use cases. Facilitate collaboration between IT and business stakeholders and empower business users. All use cases and all workloads require management of the quality of multicloud and on-premises data. Integrates human tasks into the workflow. Business users can review, correct, or approve exceptions during the automated process. To uncover relationships and detect problems, profile data is used to perform iterative analysis of data. AI-driven insights can automate the most important tasks and simplify data discovery to increase productivity.

With automated data quality profiling, and synthetic data generation, adopting data-centric AI is easier than ever. We help data scientists unlock the full potential of data. YData Fabric enables users to easily manage and understand data assets, synthetic data, for fast data access and pipelines, for iterative, scalable and iterative flows. Better data and more reliable models delivered on a large scale. Automated data profiling to simplify and speed up exploratory data analysis. Upload and connect your datasets using an easy-to-configure interface. Synthetic data can be generated that mimics real data's statistical properties and behavior. By replacing real data with synthetic data, you can enhance your datasets and improve your models' efficiency. Pipelines can be used to refine and improve processes, consume data, clean it up, transform your data and improve its quality.

Vertify's Data Quality Analysis provides a preview of marketing's greatest asset, its contact database. The Synthio – by Vertify Data Quality Analysis provides a preview of marketing's greatest asset: the contact database. The DQA will provide you with an overview of your email addresses and tell you how many of your contacts have moved to a new company. It also allows you to see the potential number of contacts you might be missing in your marketing database. Synthio by Vertify integrates with top CRM and MAP systems for data cleansing, enrichment and origination.

Our data quality management solutions can be relied upon whether you are preparing for a migration or looking to gain reliable customer insight. WHAT DOES DATA QUALITY-MANAGEMENT MEAN? Experian offers powerful data profiling, data discovery and data cleansing and enrichment. Process orchestration is also possible. Full-volume analyses can also be performed with Experian. It's now easier than ever to gain insight into your business data. Our solutions enable you to connect seamlessly to hundreds of data sources to eliminate duplicates, correct errors, standardize formats, and remove duplicates. You will have a better understanding of your customers and business operations if you have better data quality.

Waaila, a comprehensive application that monitors data quality, is supported by hundreds of analysts around the world. It helps to avoid disasters caused by poor data quality. Validate your data to take control of your analytics. They must be precise to maximize their potential, therefore validation and monitoring are essential. It is crucial that the data be accurate and reliable in order to serve its true purpose and allow for business growth. Marketing strategies that are more effective will be more efficient if they are of higher quality. You can rely on the accuracy and quality of your data to make data-driven decisions that will lead to the best results. Automated validation saves time and energy and delivers better results. Rapid attack discovery helps to prevent huge impacts and opens up new opportunities. The application management and navigation are simple, which allows for quick data validation and efficient processes that enable the issue to be quickly identified and solved.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

You can improve your customer data in a familiar, easy-to-use environment. To improve the quality of your data, simply download your customer data to Microsoft Excel and then use our plugin from the office store. Transform data (abbreviate to elaborate, exclude, normalize) in five languages and 12 entity categories. Compare records by scoring their similarity. You can choose from multiple comparison options, including Jaro Winkler, Levenshtein, and many more. Generate phonetic match keys for deduplication using DQ Fonetix™, Soundex and Metaphone. To identify the data piece, classify it. I.e. Brian or Sven is a name of a person, Road, Strasse, or Rue are elements of an address, and Ltd or LLC are suffixes for a company. To determine a gender, use segment contact data and job roles to derive data. Decision-making levels and job roles can be derived from job titles. DQ for Excel™, works within Microsoft Excel and is easy to use.

A low-code no-code approach to data quality. SaaS offers flexibility, affordability, ease-of-integration, and efficient support. High standards for encryption, identity management and role-based access control. Data governance and compliance standards. Advanced ML models for detecting row-value data anomalies. The models will adapt to the business and data requirements of users. You can add any number of data sources, records, or attributes. For unpredictable volume spikes, well-equipped. Support streaming and batch processing. Data is continuously monitored to provide real-time notification, with no impact on pipeline performance. Easy boarding, integration, investigation. Telmai is a platform that allows Data Teams to detect and investigate anomalies in real-time. No-code on-boarding. Connect to your data source, and select alerting channels. Telmai will automatically learn data and alert you if there are unexpected drifts.

Better data can help you connect with your customers. The industry's best data quality platform. Clean, protect, and improve your data. RingLead Cleanse employs patented duplicate merging technology that detects and eliminates duplicates within your CRM or MAP. Protect your CRM and MAP databases from dirty data at source with perimeter protection. RingLead Route gives you complete control over the lead-to rep process. It has configurable workflows as well as a powerful rules engine that routes all Salesforce objects. While assigning leads in a timely manner and accurately is a top priority, many organizations still rely upon primitive routing methods. Leads are assigned to the wrong rep, qualified leads slip through the cracks, and conversions suffer.

Enterprises can manage their data quality lifecycle proactively through contextual data checks, anomaly detection, and remediation. Expose anomalies, metadata and help teams take corrective action. Automate remediation workflows for quick and efficient error resolution. Maintain high data-quality and prevent errors from impacting business decisions. The SLA chart gives an overview of SLA. It includes the total number SLA monitoring performed and any violations. This chart will help you identify data areas that require further investigation or improvements.

DQ For Dynamics is a data management solution for MS Dynamics CRM. This software is specifically designed to give you customer data that you can trust. Our software is designed to give Dynamics 365 users and CRM administrators the ability to maintain and manage CRM data quality. DQ for Dynamics is integrated into Dynamics 365. It allows you to capture, cleanse, and consolidate records in your CRM system. This will give you a single customer view, and make your data suitable for business use. Duplicate review times can be reduced up to four times compared to the standard merge review. Our multi-record review screen allows you to easily set up rules and review duplicates. Increase the effectiveness of your sales tracking, marketing campaigns, and end-to–end reporting. To allow easy segmentation of CRM data, fix the route problem.

You can prevent data outages by identifying data quality issues and fixing them before they reach production. In less than a day, you can increase your test coverage for data pipelines from 0 to 100%. Automatic regression testing across billions upon billions of rows allows you to determine the impact of every code change. Automate change management, improve data literacy and compliance, and reduce incident response times. Don't be taken by surprise by data incidents. Automated anomaly detection allows you to be the first to know about them. Datafold's ML model, which can be easily adjusted by Datafold, adapts to seasonality or trend patterns in your data to create dynamic thresholds. You can save hours trying to understand data. The Data Catalog makes it easy to search for relevant data, fields, or explore distributions with an intuitive UI. Interactive full-text search, data profiling and consolidation of metadata all in one place.

Leading organizations today are using data to outperform their competitors, improve customer satisfaction, and discover new business opportunities. Traditional technologies and processes are being challenged by industry-specific regulations and privacy rules. Data quality is a must-have in any organization, but it often stops at the door of the BI/analytics program. Wiiisdom Ops can help your organization ensure quality assurance in the analytics component, which is the last mile of the data journey. You put your organization at risk by not having it. This could lead to disastrous decisions or automated disasters. Automation is essential for BI Testing at scale. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline. This guarantees a seamless end-to-end analytics testing loop at lower costs. Wiiisdom Ops does not require engineering skills. You can centralize and automate all your test cases using a simple interface. Then, you can share the results.

Great Expectations is a standard for data quality that is shared and openly accessible. It assists data teams in eliminating pipeline debt through data testing, documentation and profiling. We recommend that you deploy within a virtual environment. You may want to read the Supporting section if you are not familiar with pip and virtual environments, notebooks or git. Many companies have high expectations and are doing amazing things these days. Take a look at some case studies of companies we have worked with to see how they use great expectations in their data stack. Great expectations cloud is a fully managed SaaS service. We are looking for private alpha members to join our great expectations cloud, a fully managed SaaS service. Alpha members have first access to new features, and can contribute to the roadmap.

Standardize your data across multiple formats and inputs by extracting, normalizing, and standardizing it. Normalize all information, both business and personal, structured or unstructured. The supervised machine learning neural networks-based techniques are used to precisely understand the structure and variations in different types of information. Data is automatically parsed using these techniques. Spectrum Quality is well-suited for global clients who require multi-level data standardization, transliteration, and translation for multiple languages and culturally relevant terms. This includes those in Arabic and Chinese, Japanese, Korean, and Japanese. Our text-processing technology allows information extraction from any input text in natural languages and assigns categories to unstructured texts. You can use pre-trained models and machine-learning based algorithms to extract entities and further train your models to customize your models to identify specific entities of any type or domain.

The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible.

Oracle Enterprise Data Quality is a comprehensive data quality management system that helps to understand, improve and protect data quality. The software supports best-practice Master Data Management, Data Governance and Data Integration. It also provides integrated data quality in CRM, other applications, and cloud services. Oracle Enterprise Data Quality Address Server adds global address verification and geocoding capabilities to an Oracle Enterprise Data Quality Server.

DQ on Demand™, native to Azure, is designed to deliver incredible performance and scalability. You can switch data providers easily and improve your customer data on an as-you-go basis. Simply plug into our DQ On Demand™, web services. This will provide you with a simple-to-access data quality market. There are many data services available, including data cleansing, enrichment and validation, verification, data transformations and verification. Connect to our web-based APIs. Switch data providers easily, giving you maximum flexibility. Complete developer documentation. Pay only for what you use. You can purchase credits and use them for any service you need. It is easy to set up and use. Excel allows you to easily access all DQ on Demand™, functions. Our DQ PCF controls will ensure that your data is cleaned up right within MS Dynamics.

Enhance monitoring, visualization, remediation, reconciliation, and reconciliation to improve the quality of your data at-rest and in-motion. Data quality should be part of your company's DNA. To get a complete view of your data's journey throughout your organization, no matter where it is located, go beyond the basic quality checks. Continuous quality monitoring and point to-point reconciliation are essential for building trust in data and providing consistent insights. Data360 DQ+ automates data quality monitoring across the entire data supply chain, starting at the point information enters your organization. This allows you to monitor data in motion. Operational data quality includes validating counts and amounts across multiple sources and tracking timeliness to meet external or internal SLAs. Also, checks to ensure totals remain within set limits are examples.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

High-volume, disconnected data can be quickly transformed into actionable business insights using scalable enterprise data quality. Trillium Quality, a flexible, powerful data quality tool, supports your rapidly changing business requirements, data sources, and enterprise infrastructures, including big data and cloud. Its data cleansing features and standardization capabilities automatically understand global data such as customer, product, and financial data in any context. Pre-formatting and preprocessing are unnecessary. Trillium Quality services can be deployed on-premises or remotely in real time, in batch or in the cloud. They use the same rules and standards across a wide range of applications and systems. Open APIs allow you to seamlessly connect to third-party and custom applications while centrally managing and controlling data quality services.

Qbot is an automated test engine that's designed to improve data quality. It can be used to enable large, complex data platforms. However, it is not dependent on the environment or ETL or Database technology. It can be used to test ETL platforms, upgrade databases, cloud migration, and deliver trusted data at a speed never before seen. It is the most complete Data quality automation engine available. It features data security, speed, scaleability, and the largest test library. This allows the user to directly pass the SQL query while configuring the test groups. The following database servers are currently supported for source and destination database tables.

The Easy Way to Remove Duplicate Salesforce Records DataGroomr uses Machine Learning to automatically detect duplicate Salesforce records. Duplicate Salesforce records are automatically loaded into a queue so users can compare them side-by-side and decide which values to keep, add new values, or merge. DataGroomr provides everything you need to locate, merge, and get rid off dupes. DataGroomr's Machine Learning algorithms take care of the rest. You can merge duplicate records in one click or en masse from within the app. You can select field values to create a master record, or you can use inline editing for new values. You don't want to see duplicates across the entire organization. You can define your own data by industry, region, or any Salesforce field. The import wizard allows you to merge, deduplicate and append records while importing Salesforce. Automated duplication reports and mass merging tasks can be set up at a time that suits your schedule.

Digna is a solution powered by AI that addresses the challenges of data quality management in modern times. It is domain agnostic and can be used in a variety of sectors, including finance and healthcare. Digna prioritizes privacy and ensures compliance with stringent regulations. It's also built to scale and grow with your data infrastructure. Digna is flexible enough to be installed on-premises or in the cloud, and it aligns with your organization's needs and security policies. Digna is at the forefront of data quality solutions. Its user-friendly design, combined with powerful AI analytics, makes Digna an ideal solution for businesses looking to improve data quality. Digna's seamless integration, real time monitoring, and adaptability make it more than just a tool. It is a partner on your journey to impeccable data quality.

Data can disrupt markets and open new frontiers, but it only works when it is trusted and understood. Stakeholders in your organization can collaborate to achieve data excellence by leveraging our AI/ML-enhanced cloud-based solution, which is built with 25 years worth of best practices. With hundreds of pre-built reports and embedded best practices, you can quickly identify and remediate data quality issues. Cleanse data before or during data migration. Track data quality in real time with customizable data intelligence dashboards. Monitor data objects continuously and automatically initiate remediation workflows to direct them to the correct data owners. To accelerate future data initiatives, consolidate data on a single cloud-based platform. All data stakeholders working together in one system will reduce effort and improve results.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

Only Data Observability platform that allows complete control over enterprise data systems. Comprehensive, cross-sectional visibility of complex, interconnected data systems. Synthesizes signals across workloads and data quality, security, infrastructure, and security. Data processing and operational efficiency are improved. Automates data quality monitoring from start to finish for rapidly changing and mutable datasets. Acceldata offers a single window to identify, predict, and fix data problems. Complete data issues can be fixed in real-time. You can observe the flow of business data from one pane of glass. Find anomalies in interconnected data pipelines.

It is important to understand the quality, structure, and content of your data before making any business decisions. IBM® InfoSphere® Information Analyzer is a component to IBM InfoSphere Information Server that evaluates data structure and quality within and across heterogeneous environments. It uses a reusable rule library and supports multilevel evaluations by pattern and rule record. It allows you to manage exceptions to existing rules and helps you identify data inconsistencies, redundancies and anomalies.

We are a leader for Data Quality & ML Models for enterprises adopting a modern data management ecosystem, multi-cloud and ML. Algorithms for tracking Data Anomalies in Azure GCP and AWS databases. Measure and monitor data issues across all cloud database management tools, data silos and data silos using a single centralized tool. Quality is in the eyes of the beholder. Data issues can have different implications depending where you are in the enterprise. Qualdo was the first to organize all data quality issues from the perspective of multiple enterprise stakeholders and present a unified view. Use powerful auto-resolution algorithms for tracking and isolating critical data issues. Use robust reports and alerts for managing your enterprise regulatory compliance.

You can unify your data catalog, reduce communication overhead, and enable quality control for any employee of your company without having to deploy or install anything. Rudol is a data platform that helps companies understand all data sources, regardless of where they are from. It reduces communication in reporting processes and urgencies and allows data quality diagnosis and issue prevention for all company members. Each organization can add data sources from rudol's growing list of providers and BI tools that have a standardized structure. This includes MySQL, PostgreSQL. Redshift. Snowflake. Kafka. S3*. BigQuery*. MongoDB*. Tableau*. PowerBI*. Looker* (*in development). No matter where the data comes from, anyone can easily understand where it is stored, read its documentation, and contact data owners via our integrations.

Find opportunities to increase revenue, improve the effectiveness of functional teams, and provide great customer experiences. Poor CRM data is a problem that must be fixed immediately. Learn how CRM data can hinder sales and what you should do about it. Higher quality data can help you generate up to 70% more revenue. You can control the frequency of assessment, which allows you to instantly gauge the impact of a list load and current data quality practices. You can compare your data quality to the industry average by aggregating analysis of duplicate, invalid, and malformed data across CRM objects. This step-by-step guide will show you where to focus your cleanup efforts, how long each task takes, and which tools you can use to restore quality. What you don't know could be dangerous. Get your Data Trust Score, and a detailed report about the quality and health your customer data.

Get a clear view of your data assets: popularity, usage, and schema coverage. Get important insights into your data assets, such as popularity and utilization. Find and filter data based on tags and descriptions in metadata. Get valuable insights about your data assets, such as popularity, usage, quality, and schema cover. Drive data governance and ownership throughout your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Lineage maps are automatically generated at the field level to help understand the entire data ecosystem. Anomaly detection is based on your data and seasonality patterns. It uses automatic backfilling from historical data. Machine learning thresholds are trained for each data segment and not just metadata.

OvalEdge, a cost-effective data catalogue, is designed to provide end-to-end data governance and privacy compliance. It also provides fast, reliable analytics. OvalEdge crawls the databases, BI platforms and data lakes of your organization to create an easy-to use, smart inventory. Analysts can quickly discover data and provide powerful insights using OvalEdge. OvalEdge's extensive functionality allows users to improve data access, data literacy and data quality.

Customer data is everywhere: on our phones, in social media, in IoT, in CRM, ERP and marketing. The amount of data that companies collect is staggering... The data companies capture is overwhelming... Data that is uncontrolled and of low quality can cause a company to become disorganized, putting its growth at risk. All processes in a business should be synchronized around customer data. It is vital to ensure that the data is always reliable and accessible. DQE One is a solution for all departments that leverage customer data. Data of high quality ensures that every decision is made with confidence. Contact information from different sources is piled up in the company's database. The customer database needs to be maintained and qualified for use as a reliable repository, even if it contains data entry errors, incorrect information or gaps.