Our Head of Product, Tereza Mlynářová, explores the limitations of relying solely on data for data quality rules creation in complex fields like transportation. ➡️ Discover why human expertise is crucial for accurate data insights! 🔗 https://bit.ly/3VNdseb #Accurity #dataquality #transportation #datamanagement
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Our Head of Product, Tereza Mlynářová, explores the limitations of relying solely on data for data quality rules creation in complex fields like transportation. ➡️ Discover why human expertise is crucial for accurate data insights! 🔗 https://bit.ly/3VNdseb #Accurity #dataquality #transportation #datamanagement
Data-Only DQ Rules: A Good Idea? | Accuity Blog
accurity.ai
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Our Head of Product, Tereza Mlynářová, explores the limitations of relying solely on data for data quality rules creation in complex fields like transportation. ➡️ Discover why human expertise is crucial for accurate data insights! 🔗 https://bit.ly/3VNdseb #Accurity #dataquality #transportation #datamanagement
Data-Only DQ Rules: A Good Idea? | Accuity Blog
accurity.ai
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Our Head of Product, Tereza Mlynářová, explores the limitations of relying solely on data for data quality rules creation in complex fields like transportation. ➡️ Discover why human expertise is crucial for accurate data insights! 🔗 https://bit.ly/3VNdseb #Accurity #dataquality #transportation #datamanagement
Data-Only DQ Rules: A Good Idea? | Accuity Blog
accurity.ai
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Rogue data refers to data that is incomplete, inaccurate, irrelevant, or corrupt. It can also include data in incorrect formats or duplicate records. Cleaning rogue data involves processes like deduplication, where duplicate data points are merged or removed. Why is data cleaning important? Clean data ensures accurate analysis. Since businesses use data analysis to make informed decisions, unreliable data can lead to incorrect insights. However, simply removing rogue data can create an incomplete dataset, which also affects results. Therefore, the goal is to clean the data while retaining as much as possible, ensuring reliable and comprehensive insights. #DataCleaning #RogueData #AccurateAnalysis #DataIntegrity #DataQuality #Deduplication #BusinessInsights #DataReliability #DataManagement #CleanData
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Data Quality should be accessible to everyone involved in producing and consuming data within an organization. Learn about why in Jay Patel’s latest talk below!
Over the last few years we've realized that the best way to scale your data quality practice is to extend it beyond the core data engineering team. You need to bring all the stakeholders of your data into the fold. And the easiest way to do this is to leverage your existing data discovery tool. For anyone that's interested in learning more about this, check out this webinar where we dive into the challenges organizations are facing today when scaling data quality, and some of the solutions we've come up with. Also I'm curious to know - what challenges has your organization faced recently while trying to scale your data quality practice?
Why Data Quality Belongs in the Data Catalog
acryldata.io
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In all my conversations with data teams, there is the immense pressure to provide reliable, trustworthy data to the business Oftentimes, the goal is to answer questions in the internal slack as soon as possible but you answer one and 5 more get asked The key is tying together your metadata, lineage, cataloging, and data quality. Check it out!
Sustainable Data Quality | Acryl Observe Webinar
acryldata.io
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Working with large or complex datasets can be challenging, making it hard for organisations to become data-centric or improve their agility. This is where DataOps practices, processes, and technologies can help. They improve data handling, processing, and coordination amongst data teams and end users. The approach also ensures data is always secure, accessible, and accurate. That's not all: They will make your lakehouse or modern data warehouse more robust, enabling it to contribute towards business growth and establishing a competitive advantage. How could DataOps benefit your business? Read more: https://lnkd.in/e3j7gFKm #DataOps #DataLakehouse #DataWarehouse
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In the age of information, data is often referred to as the 'new gold.' Equally important is the concept of Document Transformation, a process that converts unstructured or semi-structured data into a more accessible and usable format. But what happens when you combine these two crucial aspects? The result is a potent strategy that amplifies the value of your data manifold. https://lnkd.in/eW7aNi-N #structureddata #dataextraction #documenttransformation #aiready
The New Gold Rush: Why Your Business Needs to Focus on Critical Data Element (CDE) Extraction From Documents | Adlib News
adlibsoftware.com
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Is Your Data Slowing You Down? 🚀 In today’s data-driven world, cluttered and disorganized data can lead to inefficiencies, errors, and wasted resources. That’s where our Data Cleanup Service comes in! At Ovation Data, we specialize in streamlining your data, eliminating duplicates, and ensuring everything is well-organized and easily accessible. Whether you’re dealing with legacy data, complex datasets, or just a general cleanup, we’ve got you covered. 🔍 What Can You Expect? - Enhanced data quality and accuracy - Improved storage efficiency - Faster data access and decision-making - Reduced costs and risk Get your data in shape and back on track! 💡 👉 Learn more about how we can help: https://lnkd.in/dpTDrc6g #DataCleanup #DataManagement #CleanData #Irreplaceable
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Data Observability : Get Started For Free. Data quality, Governance and Reconciliation seem to always be bottlenecks to delivering the utopian data platform. They cost companies millions in rework, investigations and analysis when not implemented correctly. > > > #CDOAdvisory #DataValueMaximization #EthicalDataInsights #DataStrategyGuidance #CDOInsights #DataDrivenLeadership #BusinessDataEthics #DataGovernanceExpertise #CDOConsultancy #DataValueOptimization
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