Best Data Quality Software in China

Snowplow is a data collection platform that is best in class for Data Teams. Snowplow allows you to collect rich, high-quality data from all your products and platforms. Your data is instantly available and delivered to your chosen data warehouse. This allows you to easily join other data sets to power BI tools, custom reporting, or machine learning models. The Snowplow pipeline runs in your cloud (AWS or GCP), giving your complete control over your data. Snowplow allows you to ask and answer any questions related to your business or use case using your preferred tools.

The Data Comparison Tool. It is easy to compare data from files (Excel and csv) and queries (MS-SQL and Oracle, Amazon Redshift and MySQL, and many more ...) Don't waste your time reading endless tutorials, spreadsheets, and formulas that are useless for just one instance. Instead, let the clicks do all the work and compare A with B without having to learn how to code. If you find yourself in any of these situations, you should not waste your time on things that are more important to you.

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.

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.

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.

Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.

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.

Our address finder makes it easier to search for addresses. Get accurate, predictive, and speedy address autocomplete. Our address verification software and address finder will verify, cleanse, format, and format correct Australian addresses using a single API. Our plugins make it easy to integrate AddressFinder into your online store or CRM. You can have confidence in your address data. AddressFinder's address verification service allows you to upload your spreadsheet of Australian addresses or use our verification API to match verified addresses from authoritative AU databases. AddressFinder offers a range of APIs that allow you to autocomplete addresses and retrieve address metadata (e.g. latitude/longitude and many other features. Only valid addresses from official Australia Post or PSMA databases are displayed by our address autocomplete API. All addresses you collect will be true and error-free.

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.

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

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.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

Your engineers can focus on the core elements of your business while you let them do the rest. Pulter is the fastest spreadsheet import tool you can use. It can be installed in minutes. Pulter makes it easy to import customer data into your system quickly. Instead of struggling with clunky data, let your customers experience the core benefits of your product. It's not easy to trust a third party with your customer's information. That's why we don’t store customer data anywhere on our platform. We offer several ways to access your customer's data. Pulter is easy to set up and customize. You can also modify the workflow to match your brand and make it more compatible with your brand. To allow customers to submit spreadsheets to your app, add a snippet from our code.

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

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

The Flowcore platform combines event streaming and event sourcing into a single service that is easy to use. Data flow and replayable data storage designed for developers in data-driven startups or enterprises that want to remain at the forefront of growth and innovation. All data operations are efficiently preserved, ensuring that no valuable data will ever be lost. Immediate transformations, reclassifications and loading of your data to any destination. Break free from rigid data structure. Flowcore's scalable architectural design adapts to your business growth and handles increasing volumes of data without difficulty. By streamlining and simplifying backend data processes, you can allow your engineering teams to focus on what they are best at, creating innovative products. Integrate AI technologies better, enhancing your products with smart data-driven solutions. Flowcore was designed with developers in mind but its benefits go beyond the dev team.

Accel-DS is the only tool that can help you get started today. It uses drag and drop technology and zero coding. You can interactively see the results of your data set as you build it in a Spreadsheet-like interface. You can also apply data cleansing transformations using the same Spreadsheet. This innovative solution breaks down the traditional ETL development cycle of Write Code to Extract Transform, Load, Load, and finally View Results. From the ground up, this solution is for business / end users. Integrate data from any Database, XML or JSON, WSDL or Streams (Twitter and Sys Log). No programming required, simply drag and drop your data sources. Built for Big Data, ingest and cleanse data from any source into Hadoop / Big Data quickly. In minutes, load GBs of data from RDBMS or Files into Big Data. Both traditional data types and more complex data types like Structures, Maps, and Structures are supported.

Easyence is the only Customer Infrastructure dedicated to data-driven retail. Join the 240+ businesses who use Easyence Customer data Platform and Apps to provide memorable customer experiences. Easyence collects customer events (products, stores, etc. Easyence combines your existing models with smart algorithms to help your business and offers a complete set of applications for your marketing team. Learn more about our Saas products * Easyence Data Platform: Collect and unify customer events across all platforms * Easyence Audience app - Build audiences, create campaigns, measure uplift without relying upon other teams * Easyence E-Merchandising app : Show the right product to right customer at the right time. * Easyence Attribution app - unify all touch points of your customer across all channels and platforms. * Easyence Insight App: Measure and analyze the value created by Omnicanality to understand consumer behavior.

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.

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.

Novatek Environmental Monitoring (EM), Software Solution is a industry standard that has been in use for over 20 years. It can be used to manage controlled environments. Our Environmental Monitoring software is not an "off-the-shelf" solution. It was developed in response to user requirements and regulatory requirements. It is a powerful, compliant solution that can be used to manage, evaluate, and reduce risks associated with Environmental Monitoring. Novatek's Environmental Monitoring software maps to your entire sampling process. The software controls the entire process, not just scheduling individual sampling points but also capturing all quality control parameters. Novatek's Environmental Monitoring enforces compliance with standard operating procedures and follows best practices.

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.

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