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Data quality tools for SAP HANA
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.
Dataedo
Dataedo provides users with a comprehensive tool for maintaining, tracking, and improving data quality. Access selection of 150+ built-in data quality rules or define bespoke data quality rules using SQL queries. Schedule data quality checks for continuous monitoring. Use a DQ dashboard for quick issue detection and trend analysis.
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Global IDs Data Quality Suite
Global IDs Data Quality Suite ensures the quality of the data by establishing control points and read-only quality controls at the database level. It continuously monitors quality metrics, while it also automates control generation for critical data elements across all kinds of data sources.
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BigID
BigID offers actionable data intelligence by empowering you to find, classify, catalog, profile and get context for all your data in the cloud or data-center, at-rest or in-motion, structured or unstructured at petabyte scale. It lets you identify sensitive data using hundreds of pre-built NLP, Deep Learning, and pattern classifiers.
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Ataccama ONE
Ataccama ONE offers self-driving data quality management by letting you quickly understand the state of your data, validate & improve it, prevent bad data from entering your systems, and continuously monitor data quality.
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SAP Master Data Governance
SAP Master Data Governance improves the quality and consistency of information across your organization by consolidating and centrally governing the master data lifecycle. It empowers you to collaboratively describe, catalog, and implement rules for data quality evaluation. Initiate and schedule quality evaluations and manage evaluation results. In addition, you can overview current data quality status and KPIs. In short, it lets you define, monitor, improve data quality.
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Aperture Data Studio
Aperture Data Studio combines self-service data quality with globally curated data sets into a single data quality platform. This empowers modern data practitioners to build a consistent, accurate, and holistic view of their consumer data quickly and effortlessly. It lets you set custom workflows for data profiling, cleansing, validation, transformation, enrichment, and deduplication.
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Qualdo
Qualdo is a single, centralized tool to measure, monitor, and improve data quality from all your cloud database management tools and data silos. It lets you deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance.
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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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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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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.