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Data quality tools for Excel
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 is a data governance & data catalog tool that helps you ensure data quality while documenting data. It allows you to understand where your data is coming from through data lineage, peak into values itself to validate quality with data profiling, and gather invaluable feedback from the community.
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WinPure Clean & Match
WinPure Clean & Match is a complete data quality, cleansing, matching, and de-duplication software suite for your mailing lists, databases, spreadsheets, CRM's, etc. It lets you instantly fix data quality issues, as it scans each data list and provides over 30 different statistics ranging from % filled/empty cells to most common values & counts. It also features red & amber coloring to highlight potential data quality issues.
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Trifacta
Trifacta is an open and interactive cloud platform for data engineers and analysts to collaboratively profile, prepare, and pipeline data for analytics and machine learning. It presents automated visual representations of data based upon its content in the most compelling visual profile. In addition, every profile is completely interactive, allowing the user to simply select certain elements of the profile to prompt transformation suggestions.
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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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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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StarDQ
StarDQ is a powerful enterprise solution for profiling, cleansing, augmenting and standardizing the data to significantly improve returns on corporate intelligence initiatives. It can transform and combine disparate data, remove inaccuracies, standardize on common values, parse values and cleanse unclean data to create a strategic, trustworthy, valuable asset that enhances decision making power.
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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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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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DataCleaner
DataCleaner is a premier open source data quality solution. The heart of DataCleaner is a strong data profiling engine for discovering and analyzing the quality of your data. Find the patterns, missing values, character sets, and other characteristics of your data values.
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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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TIBCO Clarity
TIBCO Clarity is data preparation, profiling, and cleansing tool. You can use TIBCO Clarity to discover, profile, cleanse, and standardize raw data collected from disparate sources, and provide good quality data for accurate analysis and intelligent decision-making.
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Open Source Data Quality and Profiling
Open Source Data Quality and Profiling tool is an open source project dedicated to data quality and data preparation solutions. This tool is developing high performance integrated data management platform which will seamlessly do data integration, data profiling, data quality, data preparation, dummy data creation, meta data discovery, anomaly discovery, data cleansing, reporting, and analytic.
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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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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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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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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.