Alternatives to Data Quality on Demand
Compare Data Quality on Demand alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Data Quality on Demand in 2024. Compare features, ratings, user reviews, pricing, and more from Data Quality on Demand competitors and alternatives in order to make an informed decision for your business.
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DataBuck
FirstEigen
(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank) -
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Web APIs by Melissa
Melissa
Melissa’s Web APIs provide a fast, easy way to verify your data upon entry and keep it clean over time. Our APIs offer a wide array of capabilities right from an easy-to-use Developer Portal so building, testing and playing in our API sandbox is as easy as creating an account and getting started. Perform rapid application testing or easily integrate our APIs into your e-commerce website or mobile apps. Melissa’s deep domain experience in data verification and our multi-sourced reference data supports global data verification, enrichments, and cleansing. • Verify, Standardize & Cleanse: Global identities, addresses, phones & email data • Enrich Your Data: Demographic, firmographic, geographic & U.S. property data • Modern Interfaces Available: REST, JSON & XML Get started instantly! All you need is a Melissa account and you’ll get 1,000 free credits. -
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OpenDQ
Infosolve Technologies, Inc
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework: Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management Customer 360 View Data Governance Business Glossary Meta Data Management -
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Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.
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5
FSWorks
Factory Systems: a Symbrium Group
FSWorks™ offers robust graphical interfaces that display quality & production data in real-time, providing immediate factory insights. FS.Net™ connects it with quality analysis, process performance insights and compliance reporting on-site or remotely wherever you are. Our philosophy is simple: We partner with our clients and go above and beyond to help you accomplish your goals. We are a dynamic company and everyone on our team is empowered to make decisions according to the Symbrium Way. Factory Systems™ provides Statistical Process Control (SPC) software, rugged factory floor workstations, Enterprise Quality Data Management Systems, Supervisory Control and Data Acquisition (SCADA) systems, Operational Equipment Effectiveness (OEE) systems, ANDON systems, Process Monitoring systems, Human Machine Interface (HMI) solutions, Part ID and Tracking systems and other pre-packaged and custom software tools and hardware solutions to manufacturing and product testing operations worldwide. -
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Melissa Data Quality Suite
Melissa
Up to 20 percent of a company’s contacts contain bad data according to industry experts; resulting in returned mail, address correction fees, bounced emails, and wasted sales and marketing efforts. Use the Data Quality Suite to standardize, verify and correct all your contact data, postal address, email address, phone number, and name for effective communications and efficient business operations. Verify, standardize, & transliterate addresses for over 240 countries. Use intelligent recognition to identify 650,000+ ethnically-diverse first & last names. Authenticate phone numbers, and geo-data & ensure mobile numbers are live & callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email, or phone. -
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DQ for Excel
DQ Global
Improve your customer data in a familiar and easy-to-use context. Simply download your customer data into Microsoft Excel and use our plugin, available in the office store to improve your data quality. Transform data (abbreviate, elaborate, exclude or normalize) in 5 spoken languages and from 12 entity categories. Compare records by scoring their similarity and choose from multiple comparison methods, including Levenshtein, Jaro Winkler, and more. Generate phonetic match keys used for deduplication, including DQ Fonetix™, Soundex, Metaphone, and more. Classify data to identify what a piece of data represents. i.e Brian or Sven is a person name, Road, Strasse or Rue are address elements and Ltd or LLC are company legal suffix. Derive data to obtain a gender from a given name and segment contact data by job roles and decision-making levels derived from a job title. DQ for Excel™ works right inside Microsoft Excel, it’s familiar and simple to use! -
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Experian Data Quality
Experian
Experian Data Quality is a recognized industry leader of data quality and data quality management solutions. Our comprehensive solutions validate, standardize, enrich, profile, and monitor your customer data so that it is fit for purpose. With flexible SaaS and on-premise deployment models, our software is customizable to every environment and any vision. Keep address data up to date and maintain the integrity of contact information over time with real-time address verification solutions. Analyze, transform, and control your data using comprehensive data quality management solutions - develop data processing rules that are unique to your business. Improve mobile/SMS marketing efforts and connect with customers using phone validation tools from Experian Data Quality. -
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Data360 DQ+
Precisely
Boost the quality of your data in-motion and at-rest with enhanced monitoring, visualization, remediation, and reconciliation. Data quality should be a part of your company’s DNA. Expand beyond basic data quality checks to obtain a detailed view of your data throughout its journey across your organization, wherever the data resides. Ongoing quality monitoring and point-to-point reconciliation is fundamental to building data trust and delivering consistent insights. Data360 DQ+ automates data quality checks across the entire data supply chain from the time information enters your organization to monitor data in motion. Validating counts & amounts across multiple and disparate sources, tracking timeliness to meet internal or external SLAs, and checks to ensure totals are within determined limits are examples of operational data quality. -
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DataGroomr
DataGroomr
Deduplicate Salesforce the Easy Way. DataGroomr leverages Machine Learning to detect duplicate Salesforce records automatically. Duplicate records are loaded into a queue for users to compare records side-by-side, select which values to retain, append new values and merge. DataGroomr has everything you need to find, merge and get rid of dupes for good. No need to set up complex rules, DataGroomr's Machine Learning algorithms do the work for you. Conveniently merge duplicate records as-you-go or merge en masse, all directly from within the app. Select field values for master record or use inline editing to define new values as you deduplicate. Don't want to review org-wide duplicates? Define your own dataset by region, industry or any Salesforce field. Leverage the import wizard to deduplicate, merge and append records while importing to Salesforce. Set up automated duplication reports and mass merge tasks at a frequency that fits your schedule.Starting Price: $99 per user per year -
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RingLead
RingLead
Connect to your customers through better data. Clean, protect, and enhance your data with the industry’s most powerful data quality platform. RingLead Cleanse uses patented duplicate merging technology to detect and eliminate duplicates inside your CRM and MAP. Stop dirty data at the source with perimeter protection at all entry points into your CRM and MAP database. RingLead Route provides complete control and visibility over the lead-to-rep process with configurable workflows and a powerful rules engine to route all Salesforce objects. Assigning leads in a timely and accurate fashion continues to be a top priority, yet many organizations still rely on primitive approaches to routing. Leads get assigned to the wrong rep, qualified leads fall through the cracks, and conversion rates suffer.Starting Price: $12,000 per year -
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SAS Data Quality
SAS Institute
SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data. You’ll work faster and more efficiently – and, with role-based security, you won’t put sensitive data at risk. Data quality isn’t something you do just once; it’s a process. We help you at every stage, making it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality. Only SAS delivers this much breadth and depth of data quality knowledge. We’ve experienced it all – and integrated that experience into our products. We know that data quality can mean taking things that look wrong and seeing if they’re actually right. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the power to update and tweak data themselves, so IT is no longer spread too thin. Out-of-the-box capabilities don’t require extra coding. -
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DistillerSR
DistillerSR Inc.
Automate every stage of your systematic literature review to securely produce evidence-based research faster and more accurately. DistillerSR automates the management of literature collection, triage, and assessment using AI and intelligent workflows. DistillerSR makes any project, large or small, simpler to manage and configure to produce transparent, audit ready, and compliant literature reviews. Search more efficiently with DistillerSR’s integrations with data providers, such as PubMed, automatic review updates, and AI-powered duplicate detection and removal. Automatically import newly published references, always keeping literature reviews up-to-date. Detect and remove duplicate citations preventing skew and bias caused by studies included more than once. Reduce your screening burden by 60% with DistillerSR. Start working on later stages of your review sooner and more accurately by finding relevant references faster and addressing conflicts more easily.Starting Price: $215 per user per month -
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Wiiisdom Ops
Wiiisdom
In today’s world, leading organizations are leveraging data to win over their competitors, ensure customer satisfaction and find new business opportunities. At the same time, industry-specific regulations and data privacy rules are challenging traditional technologies and processes. Data quality is now a must-have for any organization but it often stops at the doors of the BI/analytics software. Wiiisdom Ops helps your organization ensure quality assurance within the analytics component, the last mile of the data journey. Without it, you’re putting your organization at risk, with potentially disastrous decisions and automated disasters. BI Testing at scale is impossible to achieve without automation. Wiiisdom Ops integrates perfectly into your CI/CD pipeline, guaranteeing an end-to-end analytics testing loop, at lower costs. Wiiisdom Ops doesn’t require engineering skills to be used. Centralize and automate your test cases from a simple user interface and share the results. -
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Datactics
Datactics
Profile, cleanse, match and deduplicate data in drag-and-drop rules studio. Lo-code UI means no programming skill required, putting power in the hands of subject matter experts. Add AI & machine learning to your existing data management processes In order to reduce manual effort and increase accuracy, providing full transparency on machine-led decisions with human-in-the-loop. Offering award-winning data quality and matching capabilities across multiple industries, our self-service solutions are rapidly configured within weeks with specialist assistance available from Datactics data engineers. With Datactics you can easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk Officers. Augment data matching into Legal Entity Masters for Client Lifecycle Management. -
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D&B Connect
Dun & Bradstreet
Realize the true potential of your first-party data. D&B Connect is a customizable, self-service master data management solution built to scale. Eliminate data silos across the organization and bring all your data together using the D&B Connect family of products. Benchmark, cleanse, and enrich your data using our database of hundreds of millions of records. The result is an interconnected, single source of truth that empowers your teams to make more confident business decisions. Drive growth and reduce risk with data you can trust. With a clean, complete data foundation, your sales and marketing teams can align territories with a full view of account relationships. Reduce internal conflict and confusion over incomplete or bad data. Strengthen segmentation and targeting. Increase personalization and the quality/quantity of marketing-sourced leads. Improve accuracy of reporting and ROI analysis. -
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Synthio
Vertify
The Data Quality Analysis – by Vertify – delivers a preview of the overall health of marketing’s greatest asset, the contact database. The Synthio – by Vertify – Data Quality Analysis delivers a preview of the overall health of marketing’s greatest asset, the contact database. The DQA will give you an overview of the validity of your email addresses, tell you what percentage of your contacts have moved on to a new company, and also, allow you to get a glimpse of the number of contacts that you could be missing out on in your marketing database. Synthio – by Vertify – integrates with leading CRM and MAP systems to automate data cleansing, enrichment, and origination. -
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DQ for Dynamics
DQ Global
DQ For Dynamics is a complete data management solution for MS Dynamics CRM. Specifically built to provide you with customer data you can trust. Our software has been designed to provide Dynamics 365 users and CRM admins with the ability to manage and maintain CRM data quality when the out-of-the-box Dynamics tool is just not up to the job and you need more help. DQ for Dynamics works right inside Dynamics 365 to make cleansing Dynamics CRM records easy, you can capture, cleanse and consolidate the records in your system to provide you with a single customer view and make your data fit for business use. Reduce your duplicate review time by up to 4 times when compared to the out-of-the-box merge review. Configure rules, find and then review duplicates with ease in our multi-record review screen. Increase the effectiveness of your marketing campaigns, sales tracking, and end-to-end reporting. Fix the route cause problem to allow for easy segmentation of your CRM data. -
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Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services. Oracle Enterprise Data Quality Address Verification Server adds integrated global address verification and geocoding capabilities onto an Oracle Enterprise Data Quality Server.
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Egon
Ware Place
Address quality software and geocoding. Validate, deduplicate and maintain accurate and deliverable address data. The data quality demonstrates the accuracy and completeness with which certain data represent the effective entity they refer to. Working for postal address verification and data quality means verifying, optimising and integrating the data in any address database so that it is reliable and functional to the purpose it was created for. In transports such as shipments, in data entry such as geomarketing, and in statistics such as mapping: there are numbers of sectors and operations which are based on the use of postal addresses. Quality archives and databases guarantee considerable economic and logistics savings for enterprise whose key to success is based on operations tuning. This is an added value which should not be underestimated to make work easier and more efficient. Egon is a data quality system online available directly by the web. -
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TCS MasterCraft DataPlus
Tata Consultancy Services
The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management. -
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CLEAN_Data
Runner EDQ
CLEAN_Data is a collection of enterprise data quality solutions for managing the challenging and ever changing profiles of employee, customer, vendor, student, and alumni contact data. Our CLEAN_Data solutions are crucial in managing your enterprise data integrity requirements. Whether you are processing your data in real-time, batch, or connecting data systems, Runner EDQ has an integrated data solution your organization can rely on. CLEAN_Address is the integrated address verification solution that corrects and standardizes postal addresses within Oracle®, Ellucian® and other enterprise systems (ERP, SIS, HCM, CRM, MDM). Our seamless integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing. Real time address verification in all address entry pages using native fields in your SIS or CRM. Integrated batch processing corrects and formats your existing address records. -
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DQE One
DQE
Customer data is omnipresent in our lives, cell phones, social media, IoT, CRM, ERP, marketing, the works. The data companies capture is overwhelming. But often under-leveraged, incomplete or even totally incorrect. Uncontrolled and low-quality data can disorganize any company, risking major opportunities for growth. Customer data needs to be the point of synergy of all a company’s processes. It is absolutely critical to guarantee the data is reliable and accessible to all, at all times. The DQE One solution is for all departments leveraging customer data. Providing high-quality data ensures confidence in every decision. In the company's databases, contact information from multiple sources pile up. With data entry errors, incorrect contact information, or gaps in information, the customer database must be qualified and then maintained throughout the data life cycle so it can be used as a reliable repository. -
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DataTrust
RightData
DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets. -
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Trillium Quality
Precisely
Rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. Trillium Quality is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources and enterprise infrastructures – including big data and cloud. Its data cleansing and standardization features automatically understand global data, such as customer, product and financial data, in any context – making pre-formatting and pre-processing unnecessary. Trillium Quality services deploy in batch or in real-time, on-premises or in the cloud, using the same rule sets and standards across an unlimited number of applications and systems. Open APIs let you seamlessly connect to custom and third-party applications, while controlling and managing data quality services centrally from one location. -
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Experian Aperture Data Studio
Experian
Whether you’re preparing for a data migration, looking to achieve reliable customer insight, or complying with regulation, you can rely on our data quality management solutions. With Experian, it means powerful data profiling, data discovery, data cleansing and enrichment, process orchestration, and the ability to run full-volume analyses, among other things. Getting insight into your business’s data is now easier and faster than ever before. Our solutions allow you to seamlessly connect to hundreds of data sources to remove duplicates, correct errors, and standardize formats. With improved data quality, comes a more comprehensive view of your customers, business operations, and more. -
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Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
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Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.
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Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. -
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Lightup
Lightup
Empower enterprise data teams to proactively prevent costly outages, before they occur. Quickly scale data quality checks across enterprise data pipelines with efficient time-bound pushdown queries — without compromising performance. Proactively monitor and identify data anomalies, leveraging prebuilt DQ-specific AI models — without manual threshold setting. Lightup’s out-of-the-box solution gives you the highest level of data health so you can make confident business decisions. Arm stakeholders with data quality intelligence for confident decision-making. Powerful, flexible dashboards provide transparency into data quality and trends. Avoid data silos by using Lightup’s built-in connectors to seamlessly connect to any data source in your data stack. Streamline workflows by replacing manual, resource-intensive processes with automated and accurate data quality checks. -
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Accurity
Accurity
With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation. -
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Verodat
Verodat
Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools. -
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rudol
rudol
Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.Starting Price: $0 -
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Typo
Typo
TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary. -
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Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
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Validity Trust Assessments
Validity
Uncover opportunities to increase revenue, make functional teams more effective, and deliver great customer experiences. The challenges created by poor CRM data create an urgent need to fix them. Learn the six ways CRM data impedes sales and what you can do about it. Generate up to 70% more revenue with higher quality data. The ability to control assessment frequency allows you to immediately gauge the effect of a list load or current data quality practices. Evaluate how your data quality compares to the industry average with aggregated analysis of duplicate, malformed, and invalid data across CRM objects. The step-by-step approach shows where to focus cleanup efforts, how much time is needed for each task, and which tools to use to restore quality. What you don’t know can hurt you. Get your Data Trust Score and a detailed report on the quality and health of your customer data. -
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Cloudingo
Symphonic Source
From deduping to importing and even migrating data, Cloudingo makes it super easy to manage your customer data. Salesforce is great for managing customers. But it misses the mark when it comes to data quality. Customer data that doesn’t make sense, duplicate records, reports that are a little… off. Sound familiar? Merging dupes one-by-one, native solutions, custom code, and spreadsheets can only go so far. You shouldn’t have to think twice about the quality of your customer data. Or spend lots of time cleaning and managing Salesforce. You’ve spent too long risking relationships, losing opportunities, and dealing with clutter. It’s time to fix it. Imagine a tool, just one, that turns your dirty, confusing, unreliable Salesforce data into an efficient, lead-nurturing, sales-producing machine.Starting Price: $1096 per year -
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Talend Data Fabric
Talend
Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement. -
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LeadAngel
LeadAngel
LeadAngel smart-matches incoming leads with existing accounts and distributes leads among your sales team using the most powerful & flexible lead routing and lead matching algorithm available. We as a team helps your business to drive sales with the automated lead management. The application offers data standardization, fuzzy matching, lead segmentation, Contact Routing and Account Routing and lead to account matching in a user-friendly interface with smart drag or drop options. The solutions are built with API's to help you leverage everything our platform has to offer. Eliminating duplicate leads, merge with existing contacts, and removing redundant accounts with LeadAngel’s powerful data cleanup engine and track the entire procedure with LeadAngel's reporting where each and every step is visible. Further optimize your sales funnel with tools such as auto conversion of leads into contacts if a matching account is found. -
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DemandTools
Validity
The #1 global data quality tool thousands of Salesforce administrators trust. Improve overall productivity in managing large data sets. Identify and deduplicate data within any database table. Perform multi-table mass manipulation and standardization of Salesforce objects. Bolster Lead conversion with a robust, customizable toolset. With its feature-rich data quality toolset, you can use DemandTools to cleanse, standardize, compare records, and more. With Validity Connect, you will have access to the EmailConnect module to verify email addresses on Contacts and Leads in bulk. Manage all aspects of your data in bulk with repeatable processes instead of record by record or need by need. Dedupe, standardize, and assign records automatically as they come in from spreadsheets, end user entry, and integrations. Get clean data to improve the performance of sales, marketing, and support, as well as the revenue and retention they generate. -
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Exmon
Exmon
Our solutions monitor your data around the clock to detect any potential issues in the quality of your data and its integration with other internal systems, so your bottom line isn’t impacted in any way. Ensure your data is 100% accurate before it’s transferred or shared between your systems. If something doesn’t look right, you’ll be notified immediately and that data pipeline will be stopped until the issue is resolved. We enable our customers to be regulatory compliant from a data standpoint by ensuring our data solutions adhere to and support specific governance policies based on your industry and the regions you work within. We empower our customers to gain greater control over their data sets by showing them that it can be easy to measure and meet their data goals and requirements, by leveraging our simple user interface. -
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Syncari
Syncari
Syncari, a leader in data unification and automation, is modernizing enterprise master data with its innovative Autonomous Data Management platform. Syncari is revolutionizing how enterprises handle data by ensuring comprehensive accuracy, centralized governance, and democratized access. This approach facilitates near real-time decision-making and AI integration, enhancing observability and operations across multiple domains. By accelerating the speed to business impact, Syncari enhances decision-making capabilities and empowers organizations to fully leverage their data for substantial value extraction. Syncari ADM is one cohesive platform to sync, unify, govern, enhance, and access data across your enterprise. Experience continuous unification, data quality, distribution, programmable MDM, and distributed 360°. -
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Synthesized
Synthesized
Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live. -
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Data Ladder
Data Ladder
Data Ladder is a data quality and cleansing company dedicated to helping you "get the most out of your data" through data matching, profiling, deduplication, and enrichment. We strive to keep things simple and understandable in our product offerings to give our customers the best solution and customer service at an excellent price. Our products are in use across the Fortune 500 and we are proud of our reputation of listening to our customers and rapidly improving our products. Our user-friendly, powerful software helps business users across industries manage data more effectively and drive their bottom line. Our data quality software suite, DataMatch Enterprise, was proven to find approximately 12% to 300% more matches than leading software companies IBM and SAS in 15 different studies. With over 10 years of R&D and counting, we are constantly improving our data quality software solutions. This ongoing dedication has led to more than 4000 installations worldwide. -
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Evidently AI
Evidently AI
The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.Starting Price: $500 per month -
46
Spectrum Quality
Precisely
Extract, normalize, and standardize your data across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Precisely applies supervised machine learning neural network-based techniques to understand the structure and variations of different types of information and parses data automatically. Spectrum Quality is ideally suited for global client bases that require multi-level data standardization and transliteration for multiple languages and culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing enables information extraction from any natural language input text and assigns categories to unstructured text. Using pre-trained models and machine learning based algorithms, you can extract entities and further train and customize your models to define specific entities of any domain or type. -
47
Great Expectations
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap. -
48
Rulex
Rulex
The ultimate platform for expanding your business horizons with data-driven decisions. Improve every step of your supply chain journey. Our no-code platform enhances the quality of master data to offer you a set of optimization solutions, from inventory planning to distribution network. Relying on trusted data-driven analytics, you can proactively prevent critical issues from arising, making crucial real-time adjustments. Build trust in your data and manage them with confidence. Our user-friendly platform empowers financial institutions with transparent data-driven insights to improve key financial processes. We put eXplainable AI in the hands of business experts, so they can develop advanced financial models and improve decision-making. Rulex Academy will teach you all you need to know to analyse your data, build your first workflows, get to grips with algorithms, and quickly optimize complex processes with our self-paced, interactive online training courses. -
49
Firstlogic
Firstlogic
Validate and verify your address data by checking them against official Postal Authority databases. Increase delivery rates, minimize returned mail and realize postal discounts. Connect address datasources to our enterprise-class cleansing transforms. Then, you'll be ready to validate and verify your address data. Increase delivery rates, minimize returned mail and realize postal discounts. Identify individual data elements within your address data and break them out into their component parts. Eliminate common spelling mistakes & format address data to comply with industry standards & improve mail delivery. Confirm an address’s existence against the official USPS address database. Check whether the address is residential or business and if the address is deliverable using USPS Delivery Point Validation (DPV). Merge validated data back to multiple disparate data sources or produce customized output files to use in your organization's workflow. -
50
DQOps
DQOps
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.Starting Price: $499 per month