Precisely

JANUARY 11, 2023

If your data quality is low or if your data assets are poorly governed, then you simply won’t be able to use them to make good business decisions. What are the biggest trends in data governance for 2023? Since its initial advent, data governance has seen increased levels of adoption.

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Precisely

MAY 12, 2025

The High Cost of Not Knowing Your Data When you dont have a clear understanding of your data landscape what data exists, how trustworthy it is, etc. it opens your organization up to several risks: Unreliable analytics and AI (artificial intelligence) Poor data quality results in flawed insights. The result?

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Precisely

SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous.

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Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Let’s take a look at some of the key principles for governing your data in the cloud: What is Cloud Data Governance?

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Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

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Alation

APRIL 5, 2022

Data Management Meets Human Management. A well-oiled data governance machine comprises many parts, but what’s the most vital component? You and anyone else at your organization who uses data. Contains crust (access permissions), sauce (service agreements), and cheese (a data dictionary).

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Precisely

JANUARY 23, 2024

Data Governance Goes Mainstream To get the most from data analytics initiatives, organizations must proactively work to build data integrity. Doing so requires a sound data governance framework. As such, data governance is a key factor in determining how well organizations achieve compliance and trust.

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Precisely

MARCH 7, 2024

As part of a holistic data integrity approach, companies implement data governance programs to build trust in the data. Trustworthy data, in turn, has the powerful potential to reveal meaningful insights and drive better-quality business decisions.

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Precisely

SEPTEMBER 16, 2024

Someone like a trained data scientist, for example, will be fully aware of the potential pitfalls of poor data quality and can take the necessary steps to mitigate that risk. That’s why you need an effective data quality program in place before taking on data democratization.

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Dataversity

DECEMBER 2, 2024

This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website. This book offers readers a strong foundation in AI governance. Welcome to December 2024’s “Book of the Month” column.

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Precisely

MARCH 7, 2024

Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks. Data Quality and Data Governance Insurance carriers cannot effectively leverage artificial intelligence without first having a clear data strategy in place.

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Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

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Precisely

SEPTEMBER 16, 2024

Someone like a trained data scientist, for example, will be fully aware of the potential pitfalls of poor data quality and can take the necessary steps to mitigate that risk. That’s why you need an effective data quality program in place before taking on data democratization.

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The MLOps Blog

JUNE 27, 2023

Data quality control: Robust dataset labeling and annotation tools incorporate quality control mechanisms such as inter-annotator agreement analysis, review workflows, and data validation checks to ensure the accuracy and reliability of annotations. Data monitoring tools help monitor the quality of the data.

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Precisely

OCTOBER 16, 2023

Consistency, accuracy, and completeness are aspects of data integrity, of course, but true data integrity extends much further than just data quality. The broader access granted by data democratization amplifies both the importance and the challenges of maintaining data integrity.

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Alation

AUGUST 16, 2022

This report underscores the growing need at enterprises for a catalog to drive key use cases, including self-service BI , data governance , and cloud data migration. You can download a copy of the report here. When it comes to data quality, an open framework that supports collaboration is core to our strategy.

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Precisely

JUNE 26, 2023

Successful organizations also developed intentional strategies for improving and maintaining data quality at scale using automated tools. Only 46% of respondents rate their data quality as “high” or “very high.” Only 46% of respondents rate their data quality as “high” or “very high.” The biggest surprise?

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Alation

MARCH 11, 2022

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! It will offload pressure from IT , improve your data supply chain, and lead to smarter decision making. Download it today.

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Alation

OCTOBER 19, 2022

Alation outpaced its rivals by achieving 8 top rankings and 11 leading positions across two separate peer groups of Data Intelligence Platforms and Data Governance Products. In addition, 83 percent of surveyed users would recommend — and 90 percent are satisfied with — Alation Data Catalog.

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Alation

MARCH 2, 2023

Organizations now need metadata tools like a modern data catalog to capture and analyze this enhanced metadata that includes information on data usage, data affinities, and user behaviors. Download Gartner’s “Market Guide for Active Metadata Management” to learn more, or read on for a summary of the firm’s outlook.

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Precisely

MARCH 7, 2024

According to a 2023 study from the LeBow College of Business , data enrichment and location intelligence figured prominently among executives’ top 5 priorities for data integrity. 53% of respondents cited missing information as a critical challenge impacting data quality. What is data integrity?

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Alation

AUGUST 17, 2021

The Alation Data Catalog is built as a platform, unifying disparate data into a singular view. The Alation Data Catalog enables you to leverage the Data Cloud to boost analyst productivity, accelerate migration, and minimize risk through active data governance. Snowflake Data Cloud: A Modern Data Platform.

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Alation

SEPTEMBER 22, 2022

Overseeing data quality and ensuring proper usage represent two core reasons. Data pipelines contain valuable information that can be used to improve data quality and ensure data is used properly. Product Manager for Fivetran’s data governance capabilities. “By Subscribe to Alation's Blog.

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Precisely

MAY 3, 2023

Precisely CPO Anjan Kundavaram and Emily Washington, SVP of Product Management, will share exciting new Data Integrity Suite capabilities that support your end-to-end needs for accurate, consistent, and context-filled data. Ready to learn more about data integrity and ESG now? Here’s our agenda for May 17: 10:30–11:15 a.m.

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Dataversity

NOVEMBER 11, 2022

Until fairly recently, I was considered somewhat of a data privacy watchdog by my family and friends. I have all my privacy settings set to the max, I don’t download shady apps, no matter how popular they may be, and I am mistrustful of most requests for my personal data. But my behavior was the […].

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Precisely

OCTOBER 5, 2023

When we think about the big picture of data integrity – that’s data with maximum accuracy, consistency, and context – it becomes abundantly clear why data enrichment is one of its six key pillars (along with data integration, data observability, data quality, data governance, and location intelligence).

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Alation

FEBRUARY 13, 2020

Dataset Evaluation—Choosing the right datasets depends on ability to evaluate their suitability for an analysis use case without needing to download or acquire data first. Benefits of a Data Catalog. Improved data efficiency. Improved data context. Improved data analysis. Reduced risk of error.

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Alation

JUNE 30, 2021

Data governance is embedded into the tool to guide compliance best practices, as well: “Compose’s TrustCheck feature color-codes tables or columns within queries according to how other users have flagged or rated them in terms of accuracy and trustworthiness.”. The Data Catalog Solution. See the report for full details.

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Alation

MARCH 14, 2023

Some business processes may need reviewing to include data analysis — even going as far as requiring specific data to make a business decision. Govern Data governance models should be flexible and dynamic while proactively addressing risk management and compliance with local and global regulations.

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Pickl AI

JULY 29, 2024

Download and extract the Apache Hadoop distribution on all nodes. Cost-effectiveness Hadoop clusters use commodity hardware, making them more cost-effective compared to traditional data processing systems. The open-source software is also free to download and use.

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Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. Eventually, they will be able to govern spreadsheets directly from the Data Governance App.

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phData

JULY 18, 2023

Advanced Analytics: Snowflake’s platform is purposefully engineered to cater to the demands of machine learning and AI-driven data science applications in a cost-effective manner. Enterprises can effortlessly prepare data and construct ML models without the burden of complex integrations while maintaining the highest level of security.

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Heartbeat

MAY 29, 2023

Some of the steps that can be taken include: Data Governance: Implementing rigorous data governance policies that ensure fairness, transparency, and accountability in the data used to train LLMs. The UI can include interactive visualizations or allow users to download the output in different formats.

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The MLOps Blog

MARCH 15, 2023

Data governance: Ensure that the data used to train and test the model, as well as any new data used for prediction, is properly governed. For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial.

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DagsHub

OCTOBER 23, 2024

LocalIndexerConfig , LocalDownloaderConfig , LocalConnectionConfig, and LocalUploaderConfig configure the downloading of the unstructured data from local storage and uploading its transformed state back to local storage again. The PartitionerConfig is used to configure how we wish to transform our unstructured data.

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Precisely

FEBRUARY 23, 2024

Companies that lack well-defined processes and supporting technology are dependent on internal staff to manage data quality as best they can. Only 26% regard this tactic to be highly effective, whereas more than 40% indicate a strong preference for automated systems and scalable data validation tools.

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