Alternatives to SAS Data Quality

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.

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 simplifies the management of customer data through processes like deduplication, importing, and migration. While Salesforce excels at customer management, it often falls short in ensuring data quality. Issues such as nonsensical customer information, duplicate entries, and inaccurate reports might resonate with you. Relying on merging duplicates individually, using built-in solutions, custom coding, or spreadsheets can only achieve so much. There’s no need to constantly worry about the integrity of your customer data or to invest excessive time in cleaning and organizing Salesforce. You've already faced enough challenges that jeopardize your relationships, result in missed opportunities, and contribute to disorganization. It’s crucial to address these issues. Picture a single solution that transforms your messy, confusing, and unreliable Salesforce data into a streamlined, effective tool for nurturing leads and driving sales. This could revolutionize how you interact with your customers and optimize your business operations.

The leading global tool for data quality that is trusted by countless Salesforce administrators is designed to significantly enhance productivity in handling extensive data sets. It enables users to effectively identify and remove duplicate entries in any database table while allowing for mass manipulation and standardization across multiple Salesforce objects. By utilizing a comprehensive and customizable feature set, DemandTools enhances the process of Lead conversion. This powerful toolset facilitates the cleansing, standardization, and comparison of records, streamlining data management tasks. Additionally, with Validity Connect, users gain access to the EmailConnect module, which allows for bulk verification of email addresses associated with Contacts and Leads. Instead of managing data one record at a time, you can handle all elements of your data in bulk with established, repeatable processes. Records can be deduplicated, standardized, and assigned automatically as they are imported from spreadsheets, entered by end users, or integrated through various systems. Clean data is crucial for optimizing the performance of sales, marketing, and support teams, ultimately boosting both revenue and customer retention. Furthermore, leveraging such tools not only simplifies data management but also empowers organizations to make data-driven decisions with confidence.

Utilize the drag-and-drop rules studio to profile, cleanse, match, and eliminate duplicate data effortlessly. The no-code user interface enables subject matter experts to harness the tool without needing programming skills, empowering them to manage data effectively. By integrating AI and machine learning into your current data management workflows, you can minimize manual tasks and enhance accuracy, while ensuring complete transparency on automated decisions through a human-in-the-loop approach. Our award-winning data quality and matching features cater to various industries, and our self-service solutions can be configured quickly, often within weeks, with the support of specialized Datactics engineers. With Datactics, you can efficiently assess data against regulatory and industry standards, remedy breaches in bulk, and seamlessly integrate with reporting tools, all while providing comprehensive visibility and an audit trail for Chief Risk Officers. Furthermore, enhance your data matching capabilities by incorporating them into Legal Entity Masters to support Client Lifecycle Management, ensuring a robust and compliant data strategy. This comprehensive approach not only streamlines operations but also fosters informed decision-making across your organization.

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

Data Ladder is a company focused on enhancing data quality and cleansing, committed to assisting clients in maximizing their data through services like data matching, profiling, deduplication, and enrichment. Our goal is to maintain simplicity and clarity in our product offerings, ensuring exceptional solutions and customer service at a competitive price for our clients. Our products serve a wide range of users, including those in the Fortune 500, and we take pride in our ability to effectively listen to our clients, which enables us to swiftly enhance our offerings. Our intuitive and robust software empowers business professionals across various sectors to manage their data more efficiently and positively impact their financial performance. Our flagship data quality software, DataMatch Enterprise, has demonstrated its capability to identify approximately 12% to 300% more matches compared to leading competitors such as IBM and SAS in 15 separate studies. With over a decade of research and development to our name, we are continuously refining our data quality solutions. This unwavering commitment to innovation has resulted in more than 4000 successful installations globally, showcasing the trust placed in our products. Ultimately, our mission is to provide superior data management tools that drive success for our clients.

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.

Experience a seamless zero-touch copilot designed to enhance data quality, spending efficiency, performance metrics, and overall usage. Your data team will be promptly informed about any analytics failures or operational bottlenecks, ensuring no critical issues go unnoticed. We swiftly identify anomalies and notify you instantly, allowing you to maintain high data quality and prevent downtime. As performance metrics shift negatively, you will receive immediate alerts, enabling proactive measures. Our solution bridges the gap between data utilization and resource distribution, helping you to minimize costs and allocate resources effectively. We provide a detailed breakdown of your spending across various dimensions such as warehouse, user, and query, ensuring transparency and control. If spending patterns begin to deviate unfavorably, you'll be notified right away. Gain valuable insights into underutilized data and its implications for your business's value. Revel in the benefits of Revefi, which vigilantly monitors for waste and highlights opportunities to optimize usage against resources. With automated monitoring integrated into your data warehouse, manual data checks become a thing of the past. This allows you to identify root causes and resolve issues within minutes, preventing any adverse effects on your downstream users, thus enhancing overall operational efficiency. In this way, you can maintain a competitive edge by ensuring that your data-driven decisions are based on accurate and timely information.

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

Ensuring the integrity of software and geocoding involves validating, deduplicating, and preserving accurate address data that can be reliably delivered. The quality of this data reflects the precision and thoroughness with which it represents the entities it denotes. In the realm of postal address verification and data quality, the focus lies on validating, enhancing, and integrating information within address databases to ensure they serve their intended purposes effectively. Various industries depend on accurate postal addresses for a multitude of operations, ranging from shipping logistics to data input in geomarketing and statistical mapping. Maintaining high-quality archives and databases can lead to significant cost and logistical efficiencies for businesses, making operations more streamlined and productive. This critical aspect of data management should not be overlooked, as it contributes greatly to enhanced work processes. Additionally, Egon serves as an accessible online data quality system, providing users with immediate support in managing their address data.

CLEAN_Data offers a comprehensive suite of enterprise data quality solutions aimed at effectively managing the dynamic and complex profiles of contact information for employees, customers, vendors, students, and alumni. These solutions are essential for maintaining the integrity of your organization's data. Regardless of whether your data processing occurs in real-time, through batch methods, or by linking different data systems, Runner EDQ provides a trustworthy integrated solution that meets your needs. Specifically, CLEAN_Address serves as the integrated address verification tool that standardizes and corrects postal addresses across various enterprise systems, including Oracle® and Ellucian®, as well as ERP, SIS, HCM, CRM, and MDM platforms. Our integration ensures that addresses are verified in real-time during data entry and also allows for the correction of existing records through batch processing and change of address updates. This real-time verification capability enhances the accuracy of address entries on all relevant pages within your SIS or CRM, while the integrated batch processing feature helps in rectifying and formatting your current address database effectively. Through these capabilities, organizations can significantly enhance their data quality and operational efficiency.

Data8 provides an extensive range of cloud-based solutions focused on data quality, ensuring your information remains clean, precise, and current. Our offerings include tailored services for data validation, cleansing, migration, and monitoring to address specific organizational requirements. Among our validation services are real-time verification tools that cover address autocomplete, postcode lookup, bank account validation, email verification, name and phone validation, as well as business insights, all designed to capture accurate customer data during initial entry. To enhance both B2B and B2C databases, Data8 offers various services such as appending and enhancement, email and phone validation, suppression of records for individuals who have moved or passed away, deduplication, merging of records, PAF cleansing, and preference services. Additionally, Data8 features an automated deduplication solution that seamlessly integrates with Microsoft Dynamics 365, allowing for the efficient deduplication, merging, and standardization of multiple records. This comprehensive approach not only improves data integrity but also streamlines operations, ultimately supporting better decision-making within your organization.

The DataMatch Enterprise™ solution is an intuitive data cleansing tool tailored to address issues related to the quality of customer and contact information. It utilizes a combination of unique and standard algorithms to detect variations that are phonetic, fuzzy, miskeyed, abbreviated, and specific to certain domains. Users can establish scalable configurations for various processes including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of both business and customer data. This functionality helps organizations create a unified Single Source of Truth, thereby enhancing the overall effectiveness of their data throughout the enterprise while ensuring that the integrity of the data is maintained. Ultimately, this solution empowers businesses to make more informed decisions based on accurate and reliable data.

Experian Data Quality stands out as a prominent leader in the realm of data quality and management solutions. Our all-encompassing offerings ensure that your customer data is validated, standardized, enriched, profiled, and monitored, making it suitable for its intended use. With versatile deployment options, including both SaaS and on-premise solutions, our software can be tailored to fit diverse environments and visions. Ensure that your address data remains current and uphold the accuracy of your contact information consistently with our real-time address verification solutions. Leverage our robust data quality management tools to analyze, transform, and govern your data by creating processing rules tailored specifically to your business needs. Additionally, enhance your mobile and SMS marketing campaigns while establishing stronger connections with customers through our phone validation tools, which are offered by Experian Data Quality. Our commitment to innovation and customer success sets us apart in the industry.

Empower your enterprise data teams to effectively avert expensive outages before they happen. Rapidly expand data quality assessments across your enterprise data pipelines using streamlined, time-sensitive pushdown queries that maintain performance standards. Proactively supervise and detect data anomalies by utilizing pre-built AI models tailored for data quality, eliminating the need for manual threshold adjustments. Lightup’s ready-to-use solution ensures your data maintains optimal health, allowing for assured business decision-making. Equip stakeholders with insightful data quality intelligence to back their choices with confidence. Feature-rich, adaptable dashboards offer clear visibility into data quality and emerging trends, fostering a better understanding of your data landscape. Prevent data silos by leveraging Lightup's integrated connectors, which facilitate seamless connections to any data source within your stack. Enhance efficiency by substituting laborious, manual processes with automated data quality checks that are both precise and dependable, thus streamlining workflows and improving overall productivity. With these capabilities in place, organizations can better position themselves to respond to evolving data challenges and seize new opportunities.

Provide immediate strategic advantages by delivering comprehensive support for the evolving demands of data quality across various users and types through AI-powered automation. Regardless of the initiative your organization is undertaking—be it data migration or advanced analytics—Informatica Data Quality offers the necessary flexibility to seamlessly implement data quality across all scenarios. Empower your business users while enhancing collaboration between IT and business leaders. Oversee the quality of both multi-cloud and on-premises data for diverse applications and workloads. Integrate human interventions into the workflow, enabling business users to review, amend, and approve exceptions during the automated process. Conduct data profiling and continuous analysis to reveal connections and more effectively identify issues. Leverage AI-driven insights to automate essential tasks and streamline data discovery, thereby boosting productivity and operational efficiency. This comprehensive approach not only enhances data quality but also fosters a culture of continuous improvement within the organization.

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

The Data Quality Analysis provided by Vertify offers insights into the condition of marketing's most valuable resource, the contact database. This analysis, known as the Synthio Data Quality Analysis, evaluates the integrity of your email addresses, indicates the proportion of contacts who have transitioned to different companies, and sheds light on potential contacts that may be absent from your marketing database. Additionally, the Synthio solution from Vertify seamlessly integrates with top Customer Relationship Management (CRM) and Marketing Automation Platforms (MAP) to streamline processes such as data cleansing, enrichment, and acquisition. This ensures that your contact database remains not only accurate but also up-to-date, enhancing the effectiveness of your marketing efforts.

Whether you are gearing up for a data migration, striving for dependable customer insights, or ensuring compliance with regulations, our data quality management solutions are at your service. Partnering with Experian offers robust capabilities in data profiling, discovery, cleansing, and enrichment, along with process orchestration and the capacity for comprehensive analyses of your data volumes. Gaining insights into your business’s data has never been simpler or quicker. Our solutions enable smooth connections to numerous data sources, facilitating the elimination of duplicates, rectification of errors, and standardization of formats. Enhanced data quality leads to a broader and more detailed understanding of your customers and business operations, ultimately driving better strategic decisions. Moreover, leveraging these solutions can significantly boost your organization’s overall performance and efficiency.

Waaila is an all-encompassing tool designed for the automatic monitoring of data quality, backed by a vast network of analysts worldwide, aimed at averting catastrophic outcomes linked to inadequate data quality and measurement practices. By ensuring your data is validated, you can take command of your analytical capabilities and metrics. Precision is essential for maximizing the effectiveness of data, necessitating ongoing validation and monitoring efforts. High-quality data is crucial for fulfilling its intended purpose and harnessing it effectively for business expansion. Improved data quality translates directly into more effective marketing strategies. Trust in the reliability and precision of your data to make informed decisions that lead to optimal outcomes. Automated validation can help you conserve time and resources while enhancing results. Swift identification of issues mitigates significant repercussions and creates new possibilities. Additionally, user-friendly navigation and streamlined application management facilitate rapid data validation and efficient workflows, enabling quick identification and resolution of problems. Ultimately, leveraging Waaila enhances your organization's data-driven capabilities.

Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.

Enhance your customer data within a user-friendly environment by easily exporting it into Microsoft Excel and utilizing our plugin, which can be found in the Office Store for improved data quality. With our tool, you can transform data by abbreviating, elaborating, excluding, or normalizing it across five spoken languages and twelve distinct entity categories. You can assess the similarity between records through various comparison techniques, such as Levenshtein and Jaro-Winkler, and generate phonetic match keys for deduplication purposes, including DQ Fonetix™, Soundex, and Metaphone. Additionally, classify your data to determine what each piece represents—for instance, recognizing Brian or Sven as personal names, while identifying Road, Strasse, or Rue as elements of an address, and Ltd or LLC as legal suffixes for companies. You can also derive information such as gender from names and categorize contact information based on job titles and decision-making roles. DQ for Excel™ operates seamlessly within Microsoft Excel, making it both intuitive and straightforward to use, thus streamlining your data management processes effectively. Moreover, with its powerful features, you can ensure that your customer data remains accurate, relevant, and organized.

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

Assisting businesses in actively overseeing their comprehensive data quality lifecycle is achieved through the implementation of contextual data quality assessments, anomaly detection, and corrective measures. By revealing anomalies and relevant metadata, teams are empowered to implement necessary corrective actions effectively. Automated remediation workflows can be initiated to swiftly and efficiently address any errors that arise. This proactive approach helps ensure superior data quality, safeguarding against inaccuracies that could undermine business decision-making. Additionally, the SLA chart offers a detailed overview of service level agreements, showcasing the total number of monitoring activities conducted and any violations encountered. Such insights can significantly aid in pinpointing specific areas of your data that may necessitate further scrutiny or enhancement. Ultimately, maintaining robust data quality is essential for driving informed business strategies and fostering growth.

DQ For Dynamics offers a comprehensive solution for managing data specifically tailored for MS Dynamics CRM users. It is designed to ensure that the customer data you rely on is both reliable and accurate. This software caters to Dynamics 365 users and CRM administrators, particularly when the standard Dynamics tools fall short and additional support is necessary. DQ for Dynamics integrates seamlessly with Dynamics 365, streamlining the process of cleaning and consolidating CRM records to create a unified view of your customers, making your data more suitable for business applications. With this solution, you can significantly cut down on the time spent reviewing duplicates—up to four times faster than the standard merge review process. The platform allows you to easily configure rules and manage duplicate records through an intuitive multi-record review interface. By enhancing the efficiency of your marketing initiatives, sales monitoring, and comprehensive reporting, DQ for Dynamics addresses underlying issues to facilitate effective segmentation of your CRM data and improve overall data management outcomes. This results in a more coherent strategy for leveraging customer insights across your organization.

Eliminate data outages by proactively identifying and resolving data quality problems before they enter production. Achieve full test coverage of your data pipelines in just one day, going from 0 to 100%. With automatic regression testing across billions of rows, understand the impact of each code modification. Streamline change management processes, enhance data literacy, ensure compliance, and minimize the time taken to respond to incidents. Stay ahead of potential data issues by utilizing automated anomaly detection, ensuring you're always informed. Datafold’s flexible machine learning model adjusts to seasonal variations and trends in your data, allowing for the creation of dynamic thresholds. Save significant time spent analyzing data by utilizing the Data Catalog, which simplifies the process of locating relevant datasets and fields while providing easy exploration of distributions through an intuitive user interface. Enjoy features like interactive full-text search, data profiling, and a centralized repository for metadata, all designed to enhance your data management experience. By leveraging these tools, you can transform your data processes and improve overall efficiency.

In the current landscape, forward-thinking companies are utilizing data to outperform competitors, enhance customer satisfaction, and identify new avenues for growth. However, they also face the complexities posed by industry regulations and strict data privacy laws that put pressure on conventional technologies and workflows. The importance of data quality cannot be overstated, yet it frequently falters before reaching business intelligence and analytics tools. Wiiisdom Ops is designed to help organizations maintain quality assurance within the analytics phase, which is crucial for the final leg of the data journey. Neglecting this aspect could expose your organization to significant risks, leading to poor choices and potential automated failures. Achieving large-scale BI testing is unfeasible without the aid of automation. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline, providing a comprehensive analytics testing loop while reducing expenses. Notably, it does not necessitate engineering expertise for implementation. You can centralize and automate your testing procedures through an intuitive user interface, making it easy to share results across teams, which enhances collaboration and transparency.

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

Collect, normalize, and standardize your data from a variety of sources and formats. Ensure that all types of information, whether pertaining to businesses or individuals, are normalized, regardless of whether they are structured or unstructured. This process employs advanced supervised machine learning techniques based on neural networks to comprehend the intricacies and variations present in diverse information types while automating the data parsing. Spectrum Quality is particularly well-equipped to cater to international clients who demand comprehensive data standardization and transliteration across multiple languages, including culturally specific terms in Arabic, Chinese, Japanese, and Korean. Our cutting-edge text-processing capabilities facilitate the extraction of information from any natural language input and effectively categorize unstructured text. By utilizing pre-trained models alongside machine learning algorithms, you can identify entities and further customize your models to accurately define specific entities relevant to any domain or category, enhancing the overall flexibility and applicability of the data processing solutions we offer. As a result, clients can achieve a more refined and efficient data management and analysis process.

The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.

Oracle Enterprise Data Quality offers an extensive environment for managing data quality, enabling users to comprehend, enhance, safeguard, and govern data integrity. This software supports leading practices in Master Data Management, Data Governance, Data Integration, Business Intelligence, and data migration efforts, while also ensuring seamless data quality integration in CRM systems and various cloud services. Furthermore, the Oracle Enterprise Data Quality Address Verification Server enhances the functionality of the main server by incorporating global address verification and geocoding features, thus broadening its application potential. As a result, organizations can achieve higher accuracy in their data management processes, leading to better decision-making and operational efficiency.

Designed specifically for Azure, DQ on Demand™ boasts remarkable performance and scalability. Transitioning between data providers is seamless, allowing you to enhance your customer data with a pay-as-you-go model by directly accessing our DQ on Demand™ web services, which act as a user-friendly data quality marketplace. A wide array of data services is offered, such as data cleansing, enrichment, formatting, validation, verification, and transformations, among others. All you need to do is connect to our web-based APIs. This flexibility empowers you to switch data providers effortlessly, ensuring you have the freedom to choose what works best for your needs. You will also benefit from comprehensive developer documentation, ensuring a smooth integration process. You only pay for what you utilize, allowing you to purchase credits and allocate them as needed for various services. The setup process is straightforward and user-friendly. Additionally, all functionality of DQ on Demand™ can be easily integrated into Excel, providing a familiar low-code no-code solution. Moreover, you can guarantee your data is accurately cleansed within MS Dynamics using our DQ PCF controls, further enhancing your data management capabilities. This combination of features ensures that your data quality remains top-notch while maintaining operational efficiency.

Enhance the integrity of your data both during transit and when stored by implementing superior monitoring, visualization, remediation, and reconciliation techniques. Ensuring data quality should be ingrained in the core values of your organization. Go beyond standard data quality assessments to gain a comprehensive understanding of your data as it traverses through your organization, regardless of its location. Continuous monitoring of quality and meticulous point-to-point reconciliation are essential for fostering trust in data and providing reliable insights. Data360 DQ+ streamlines the process of data quality evaluation throughout the entire data supply chain, commencing from the moment information enters your organization to oversee data in transit. Examples of operational data quality include validating counts and amounts across various sources, monitoring timeliness to comply with internal or external service level agreements (SLAs), and conducting checks to ensure that totals remain within predefined thresholds. By embracing these practices, organizations can significantly improve decision-making processes and enhance overall performance.

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.

Quickly convert large volumes of disparate data into reliable and actionable insights for your business with scalable data quality solutions designed for enterprises. Trillium Quality serves as a dynamic and effective data quality platform tailored to meet the evolving demands of your organization, accommodating various data sources and enterprise architectures, including big data and cloud environments. Its features for data cleansing and standardization are adept at comprehending global data, such as information related to customers, products, and finances, in any given context—eliminating the need for pre-formatting or pre-processing. Moreover, Trillium Quality can be deployed in both batch and real-time modes, whether on-premises or in the cloud, ensuring that consistent rule sets and standards are applied across a limitless array of applications and systems. The inclusion of open APIs facilitates effortless integration with custom and third-party applications, while allowing for centralized control and management of data quality services from a single interface. This level of flexibility and functionality greatly enhances operational efficiency and supports better decision-making in a rapidly evolving business landscape.

Plauti transforms how businesses manage their Salesforce data by providing a comprehensive platform that verifies, cleans, and automates data handling directly within Salesforce. The platform ensures your customer records are accurate, deduplicated, and up-to-date, so your teams can engage with the right information at the right time. Plauti's no-code customization allows admins to easily adapt workflows without IT involvement, while its powerful data manipulation capabilities provide complete control over data processes. With Plauti, businesses can improve data quality, reduce manual efforts, and drive results faster and more efficiently.

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.

The BiG EVAL platform offers robust software tools essential for ensuring and enhancing data quality throughout the entire information lifecycle. Built on a comprehensive and versatile code base, BiG EVAL's data quality management and testing tools are designed for peak performance and adaptability. Each feature has been developed through practical insights gained from collaborating with our clients. Maintaining high data quality across the full lifecycle is vital for effective data governance and is key to maximizing business value derived from your data. This is where the BiG EVAL DQM automation solution plays a critical role, assisting you with all aspects of data quality management. Continuous quality assessments validate your organization’s data, furnish quality metrics, and aid in addressing any quality challenges. Additionally, BiG EVAL DTA empowers you to automate testing processes within your data-centric projects, streamlining operations and enhancing efficiency. By integrating these tools, organizations can achieve a more reliable data environment that fosters informed decision-making.

Data possesses the potential to transform markets and push boundaries, but this is only achievable when it is reliable and comprehensible. By utilizing our cloud-based solution, which is enhanced with AI/ML capabilities and developed from 25 years of industry best practices and validated data quality reports, your organization's stakeholders can collaborate effectively to achieve data excellence. Rapidly pinpoint data quality problems and streamline their resolution with integrated best practices and a plethora of pre-configured reports. Prepare and cleanse data before or during migration, while also monitoring data quality in real-time through customizable intelligence dashboards. Maintain ongoing oversight of data entities, automatically triggering remediation processes and routing them to the designated data custodians. Centralize information within a unified cloud platform and leverage accumulated knowledge to boost future data projects. By ensuring that all data stakeholders operate within a single system, you can reduce effort and enhance results with each data initiative. Collaborating in this manner not only fosters trust in the data but also empowers stakeholders to make informed decisions swiftly.

Qbot is a specialized automated testing engine designed specifically for ensuring data quality, capable of supporting large and intricate data platforms while being agnostic to both ETL and database technologies. It serves various purposes, including ETL testing, upgrades to ETL platforms and databases, cloud migrations, and transitions to big data systems, all while delivering data quality that is exceptionally reliable and unprecedented in speed. As one of the most extensive data quality automation engines available, Qbot is engineered with key features such as data security, scalability, and rapid execution, complemented by a vast library of tests. Users benefit from the ability to directly input SQL queries during test group configuration, streamlining the testing process. Additionally, we currently offer support for a range of database servers for both source and target database tables, ensuring versatile integration across different environments. This flexibility makes Qbot an invaluable tool for organizations looking to enhance their data quality assurance processes effectively.

Acceldata stands out as the sole Data Observability platform that offers total oversight of enterprise data systems, delivering extensive visibility into intricate and interconnected data architectures. It integrates signals from various workloads, as well as data quality, infrastructure, and security aspects, thereby enhancing both data processing and operational efficiency. With its automated end-to-end data quality monitoring, it effectively manages the challenges posed by rapidly changing datasets. Acceldata also provides a unified view to anticipate, detect, and resolve data-related issues in real-time. Users can monitor the flow of business data seamlessly and reveal anomalies within interconnected data pipelines, ensuring a more reliable data ecosystem. This holistic approach not only streamlines data management but also empowers organizations to make informed decisions based on accurate insights.

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.

We excel in Data Quality and Machine Learning Model solutions tailored for enterprises navigating multi-cloud environments, modern data management, and machine learning ecosystems. Our algorithms are designed to identify Data Anomalies across databases in Azure, GCP, and AWS, enabling you to assess and oversee data challenges from all your cloud database management systems and data silos through a singular, integrated platform. Perceptions of quality can vary significantly among different stakeholders within an organization. Qualdo stands at the forefront of streamlining data quality management issues by presenting them through the perspectives of various enterprise participants, thus offering a cohesive and easily understandable overview. Implement advanced auto-resolution algorithms to identify and address critical data challenges effectively. Additionally, leverage comprehensive reports and notifications to ensure your enterprise meets regulatory compliance standards while enhancing overall data integrity. Furthermore, our innovative solutions adapt to evolving data landscapes, ensuring you stay ahead in maintaining high-quality data standards.