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Data quality tools
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
MIOvantage
MIOvantage is a data quality platform that works alongside your existing systems to provide the best data quality possible. With a single solution, you can profile data, run rules, deduplicate data, identify entities, generate reports, and more.
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BaseCap’s Data Quality Manager
BaseCap’s Data Quality Manager gives users one place from where they can: IDENTIFY data issues automatically, COLLABORATE to find the root cause of data issues, FIX data issues based on insights from the platform, and DELIVER validated data downstream to any of their business use cases.
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RightData
RightData is a self-service suite of applications that helps you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities.
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Atlan
Atlan uses DataOps to create a new paradigm for building trust in your data. It auto-generates data quality profiles which make detecting bad data dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, Atlan offers everything.
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Irion EDM
Irion ERM lets you control, monitor, and measure the quality of your data with intuitive and customizable interfaces. It generates for you technical control rules based on metadata automatically and within a few seconds. You can use the workflow engine to activate parallel tasks and collaborations between various “actors”, as well as control the progress of processes.
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Collibra Data Quality
Collibra Data Quality lets you use predictive data quality to improve trust in your data. With predictive, continuous, and self-service data quality, you can centralize and automate data quality workflows to gain better control over your organization's end-to-end data pipelines and streamline analytics processes across the enterprise.
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CuriumDQM
CuriumDQM (Data Quality Management) delivers advanced process control over the firm’s data sets without the need to change any aspects of the firm’s underlying data architecture. CuriumDQM is a cost-effective way of giving Operations and Data Management teams the process and oversight they need to deliver effective data governance, as well as reduced risk and better overall confidence in the data management function.
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iWay Data Quality Suite
iWay Data Quality Server (DQS) is a complete tool for complex data quality management. iWay DQS not only evaluates, monitors, and manages the quality of data in different information systems, but it also prohibits inaccurate data from being admitted into those systems.
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Syniti Data Quality
Data quality management solutions from Syniti provide a simplified and cost-effective approach to monitor and accurately remediate data that violates your standards for data quality. Derive data quality rules from institutional knowledge, technical needs of downstream systems and interfaces, as well as legal/regulatory requirements. Proactively identify operational insights that allow potential issues to be addressed before process interruptions occur.
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tye.io
tye is a data quality as a service that offers an easy and powerful data cleansing tool to help you make the most out of your customer data. It lets you merge all customer lists together & see your customer relationships with a unified view.
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CloverDX
CloverDX's data quality features offer you automated data quality and error handling for your workflows. With CloverDX's data quality features, you can discover and deal with bad data fast. You can automate bad data identification & correction, rule definitions, and reports on data quality. In short, CloverDX gives you the ability to make better decisions with more trustworthy data.
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Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Data Catalog is a metadata management service that helps organizations find and govern data using an organized inventory of data assets across the enterprise. With this self-service solution, data consumers can easily find, understand, govern, and track Oracle Cloud data assets.
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Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.
The common functions that each data quality tools must perform are:
• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing
Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.