Alation

JANUARY 19, 2023

The words “ data governance ” and “fun” are seldom spoken together. The term data governance conjures images of restrictions and control that result in an uphill challenge for most programs and organizations from the beginning. Or they are spending too much time preparing the data for proper use.

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IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Dataconomy

DECEMBER 17, 2024

However, the success of any data project hinges on a critical, often overlooked phase: gathering requirements. Conversely, clear, well-documented requirements set the foundation for a project that meets objectives, aligns with stakeholder expectations, and delivers measurable value. Key questions to ask: What data sources are required?

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Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

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Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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Smart Data Collective

NOVEMBER 30, 2020

For example, Californian law states that your privacy policy must be displayed as a stand-alone document. Moreover, New York is one of the few places where you can get heavily fined for violating the law, so it’s important to disclose any contracts, operating agreements, and other documents for the sake of transparency.

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Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

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Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

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AWS Machine Learning Blog

FEBRUARY 20, 2025

PAAS now includes PAAS AI, the first commercially available interactive generative-AI chats specifically developed for premium audit, which reduces research time and empower users to make informed decisions by answering questions and quickly retrieving and summarizing multiple PAAS documents like class guides, bulletins, rating cards, etc.

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AWS Machine Learning Blog

APRIL 3, 2025

Data governance challenges Maintaining consistent data governance across different systems is crucial but complex. When needed, the system can access an ODAP data warehouse to retrieve additional information. Implementing uniform policies across different systems and departments presents significant hurdles.

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The Data Governance Institute

AUGUST 6, 2020

For example, companies moving from silo development to enterprise systems may find their application development teams resisting the guidance of Data Architects and Modelers. Formal Data Governance policies, backed by cross-functional Stewards, can give needed weight to architectural positions.

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Dataversity

DECEMBER 21, 2020

In the last blog, we defined how to determine the target audience for a Data Governance policy. In this blog, we will begin to define the actual Data Governance policy. There are at least two primary documents that govern most working groups or committees. The first is […].

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Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data.

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Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

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Data Science Connect

JULY 22, 2024

Metaphor is a modern data catalog powered by AI, designed to improve data discovery, documentation, lineage, and governance across organizations. It integrates with tools like Slack and MS Teams, enhancing collaboration and knowledge sharing.

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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

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

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Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

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Precisely

JULY 19, 2023

Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data is a valuable organizational asset, yet if an organization isn’t capable of fully utilizing that asset, there can be a substantial opportunity cost.

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Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

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Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. How can they contribute their expertise?

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Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful? Where do you start?

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Precisely

SEPTEMBER 8, 2023

According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs. Automating functions in support of data governance provides a range of important benefits.

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Precisely

SEPTEMBER 6, 2023

.” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges. To truly succeed in an increasingly data-driven world, organizations need data governance. The results are clear.

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Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

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Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

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Smart Data Collective

SEPTEMBER 21, 2020

Here are some helpful tips: Regardless of where the data is being stored – on a desktop, cloud drive, or in a specific software platform – you should have a hierarchy of folders to neatly organize files. There should be a documented method of naming files and once you zero in on a method, it must be strictly followed.

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Alation

OCTOBER 4, 2022

At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting data governance solutions for a range of use cases. What is Data Governance in the Insurance Industry? Why is it Important?

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Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

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Pickl AI

APRIL 14, 2023

In this blog, we are going to discuss more on What are Data platforms & Data Governance. Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Here comes the role of Data Governance. Thus reducing the risk and misuse of data.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Who are the data stewards for my proprietary database sources?

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Towards AI

NOVEMBER 10, 2024

Audits Regular, systematic evaluation of AI systems Third-party verification of safety claims Transparency in reporting and documentation 3. Here’s how different parts of the world are tackling this challenge, ranked from most to least AI-friendly: United States: The Innovation Champion The U.S.

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Dataconomy

SEPTEMBER 4, 2023

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Poor data integration can lead to inaccurate insights.

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Data Science Dojo

MARCH 24, 2023

Collaboration and Communication: Collaboration and communication between data scientists, engineers, and other stakeholders is essential for successful MLOps. This includes sharing code, documentation, and other information and providing regular updates on the status and performance of models.

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Data Science Dojo

MARCH 24, 2023

Collaboration and Communication: Collaboration and communication between data scientists, engineers, and other stakeholders is essential for successful ML Ops. This includes sharing code, documentation, and other information and providing regular updates on the status and performance of models.

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