Alternatives to Experian Aperture Data Studio

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Looking for fast, easy solutions to protect your entire data lifecycle? Look no further. Melissa’s Web APIs offer a range of capabilities to keep your customer data clean, verified, and enriched. Our solutions work throughout the entire data lifecycle – whether in real time, at point of entry or for a batch cleanup. • Global Address: Verify & standardize addresses in 240+ countries & territories with postal authority certified coding & premise-level geocoding • Global Email: Verify email mailboxes, syntax, spelling & domains in real time to ensure they are deliverable • Global Name: Verify, standardize & parse person & business names with intelligent recognition of millions of first & last names • Global Phone: Verify phone as active, identify line type, & return geographic details, dominant language & carrier for 200+ countries • Global IP Locator: Gain a geolocation of an input IP address with lat & long, proxy info, city, region & country • Property (U.S. & Canada): Return comprehensive property & mortgage info for 140+ million U.S. properties • Personator (U.S. & Canada): USPS® CASS/DPV certified address checking, name parsing & genderizing, phone & email verification are all easily performed with this API

Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM. The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.

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

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Boss Insights provides global leading access to business customers’ financial data with a single connection to accounting, banking, commerce, payroll, tax and more (i.e. Quickbooks, Stripe, SalesForce, etc.). It’s used by fintechs and neobanks to gain 60% increased automation, 100% automated scoring, 51% faster funding and 5x faster renewals.

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.

True digital transformation can only be achieved if you are able to take action on your marketing data. This will allow you to engage customers intelligently and provide them with personalized experiences which increase their lifetime value. Deliver personalized experiences, cross channel messaging and loyalty programs to add value to customer relationships. Marigold Engage+, formerly Cheetah digital, allows marketers to quickly scale and meet the needs of the modern consumer. You need to be able to adapt quickly as the need for digital transformation increases. Marigold Engage+ will help you achieve your goals quickly. We provide you with the integrated technology and service you need to create profitable, long-lasting relationships with your customers. Real-time interaction management allows you to discover opportunity, create audience segments and orchestrate your data. Engaging experiences can help you turn marketing efforts into a database of consumers.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This platform is the ultimate tool for expanding your business with data-driven decisions. Every step of your supply chain journey can be improved. Our no-code platform improves the quality and quantity of master data to provide you with a range of optimization solutions, including inventory planning and distribution network. Trusted data-driven analytics can help you prevent critical issues from occurring and make crucial real-time adjustments. You can build trust in your data and manage it with confidence. Our platform is user-friendly and provides financial institutions with data-driven insights that are transparent and easy to use to improve their financial processes. We provide eXplainableAI to business professionals so they can create advanced financial models and improve their decision-making. Rulex Academy will help you learn how to analyze your data, create workflows, understand algorithms, and optimize complex processes using our interactive online training courses.

What is the Melissa Clean Suite? Melissa's Clean Suite (previously Melissa Listware), combats dirty data in your Salesforce®, Microsoft DynamicsCRM®, Oracle CRM® and ERP platforms. It verifies, standardizes, corrects, and appends your customer contact records. Clean, vibrant, and valuable data that you can use to achieve squeaky-clean omnichannel marketing success and sales success. * Correct, verify, and autocomplete contacts before they enter the CRM * Add valuable demographic data to improve lead scoring, segmentation, targeting, and targeting * Keep contact information current and clean for better sales follow-up and marketing initiatives *Protect your customer data quality with real-time, point-of-entry data cleansing or batch processing Data drives every aspect customer communication, decision making and analytics. Dirty data, which can be incorrect, stale or incomplete data, can lead to inefficient operations and an inaccurate view of customers.

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.

TYPO is a data-quality solution that corrects errors at the point of entry to information systems. Typo uses AI to detect errors at the point of entry, rather than reactive tools that try to fix data errors after they have been saved. This allows for immediate corrections before they are stored and propagated into downstream systems and reports. Typo can be used in web apps, mobile apps, devices, and data integration tools. Typo can inspect data in motion as it enters an enterprise or at rest after storage. Typo provides complete oversight of data origins, points of entry and exit into information systems, including devices and APIs. The user is notified when an error is detected and given the chance to correct it. Typo uses machine learning algorithms for detecting errors. It is not necessary to implement and maintain data rules.

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.

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.

Automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages suppliers' data requests. Monitors data workflow to identify bottlenecks and resolve problems. To prove quality assurance for each data row, creates an audit trail. You can customize validation and governance to fit your organization. Data analysts can focus on their insights by reducing data prep time by 60% The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. Flexible rules engine allow users to create validation and testing that are tailored to their needs. It's easy to integrate gather360 into your existing tools or use it for setting up your cloud infrastructure.

Intelligent data discovery and transformation increases productivity by quickly revealing insights to make your business more efficient. This solution framework provides a robust framework for comprehensive discovery, fast exploration, and rapid exploration of your critical business data. Hitachi Content Intelligence maximizes the data value of your business data, whether it is on-premises, off-premises, in the cloud, or structured. Reduce industry data sprawl and growth, and find the data you need easily. To ensure your business is informed, enrich your data. Using robust searches, you can combine data from all sources and uncover new insights.

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.

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.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

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.

Data plays an important role in many areas of a company, including sales, marketing, and finance. Data must be managed throughout its life cycle to get the most out of it. Uniserv's core philosophy and the products it offers is data quality. Our customized solutions make your customer master information the success factor for your company. The Data Quality Service Hub ensures that customer data quality is high at all levels of your company, including international. We can correct your address information according international standards and based upon first-class reference data. We can also check bank data, telephone numbers, and email addresses at different levels. We can search your data for redundant items based on your business rules. These items can be consolidated automatically using prescribed rules or manually sorted for reprocessing.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

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

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

SAS Data Quality is available to you wherever you are. It addresses your data quality issues without you having to move your data. You will work faster and more efficiently, and sensitive data won't be at risk with role-based security. Data quality is not something you do once. It's a process. We can help you at each stage. It's easy to identify and fix problems, preview data and set up repeatable processes that will ensure data quality. SAS is the only company that can provide this level of data quality knowledge. SAS has been there and done it all. We have incorporated that experience into our products. Data quality can be as simple as looking at things wrongly and then confirming that they are correct. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the ability to update and modify data, so IT is not spread too thin. Out-of-the-box capabilities don't require extra coding.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

D&B Optimizer removes bad data. Salespeople who trust their CRM will be more productive and have accurate, up-to-date data. This will allow them to target customers with pinpoint accuracy and provide a better customer experience. A happy, productive sales force! D&B Optimizer, a cloud-based platform that enhances your marketing and sales data, helps profile your best opportunities, reach your target audiences, and more. It offers advanced analytics and integration with your marketing systems via connectors for Salesforce or Microsoft. D&B Optimizer unlocks the potential value of your existing data and enhances the data you collect every single day. It also helps to drive more effective segmentation, targeting, and growth in your business. Sales and marketing teams face a difficult task of keeping data current. Salesforce estimates that 91 per cent of CRM data is incomplete and that 70 percent of that data degrades annually.

The early bird gets the sale. Filter, match and route leads to the right salesperson instantaneously. Close more deals. LeadAngel is a B2B Lead Management platform, including Lead to Account Matching and Routing. Fast, Reliable, and Customizable Operations works with Salesforce CRM and others. APIs available to route and match leads. LeadAngel helps businesses, organizations, and enterprises to improve sales process to close more deals, faster. The software offers lead routing, lead matching, fuzzy matching, lead deduplication, account based marketing strategies and detailed reporting. Matching is very customizable and extremely fast. Our system can identify matching companies in dozens of ways. You can further optimize your sales funnel by using tools like auto-conversion of leads to contacts if you find a matching account.

Validate and verify your address information by comparing them with official Postal Authority databases. You can increase delivery rates, reduce returned mail, and receive postal discounts. Connect address datasources with our enterprise-class cleansing transforms. Once you have connected your address datasources, you will be able to validate and verify it. You can increase delivery rates, reduce returned mail, and get postal discounts. Identify the data elements in your address data and separate them into their parts. Correct common spelling errors and format your address data to conform with industry standards. This will improve mail delivery. Verify that an address exists against the USPS address database. You can verify whether the address is residential, business, or if it is deliveryable by USPS Delivery Point Validation. Merge validated data from multiple sources to create customized output files for your organization's workflow.

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.

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.

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.

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.

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.

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.

In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.

According to industry experts, up to 20% of a company's contact list contains bad data. This can lead to bounced emails, returned mail, address correction fees and wasted sales and marketing efforts. The Data Quality Suite can be used to standardize, verify, and correct all contact data. This includes postal address, email address and phone number. It is essential for efficient communications and business operations. Verify, standardize and transliterate addresses from more than 240 countries. Intelligent recognition can identify 650,000+ ethnically diverse first and last names. Authenticate phone numbers and geo-data to ensure that mobile numbers are available and callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite allows organizations of all sizes to verify and maintain data in order to communicate effectively with customers via email, postal mail, or phone.

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.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

Automate every stage in your systematic literature review to produce evidence-based research more quickly and accurately. DistillerSR automates literature collection, triage and assessment with AI and intelligent workflows. DistillerSR makes managing any project, no matter how large or small, easier. It can also be configured to produce transparent, audit-ready, and compliant literature reviews. DistillerSR integrates with data providers such as PubMed, automatic reviews updates, and AI-powered duplicative detection and removal. This makes it easier to search more efficiently. Automatically import new published references, keeping literature reviews current. You can detect duplicate citations and remove them, preventing bias and skew caused by studies that were included more than once. DistillerSR can reduce your screening burden by 60% DistillerSR makes it easier to get started on the later stages of your review faster and more accurately.