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In Aprils Book of the Month, were looking at Bob Seiners Non-Invasive DataGovernance Unleashed: Empowering People to GovernData and AI.This is Seiners third book on non-invasive datagovernance (NIDG) and acts as a companion piece to the original.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […] The post Dear Laura: How Will AI Impact DataGovernance?
Welcome to our new series, “Book of the Month.” In this series, we will explore new books in the data management space, highlighting how thought leaders are driving innovation and shaping the future.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […]. The post Dear Laura: DataGovernance Budget Woes appeared first on DATAVERSITY.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […]. The post Dear Laura: Should I Leave My DataGovernance Job?
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe that […]. The post Dear Laura: What Role Should Leadership Play in DataGovernance?
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on datagovernance. Two recent books have ideas that are worthy of datagovernance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Wixom, Cynthia M.
Lean GovernanceTM is the next machine to change the world of DataGovernance and Enterprise Data Management. As proponents of lean thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe that […]. The post Dear Laura: How Can I Build Traction for DataGovernance in a Start-Up?
In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and datagovernance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24
Welcome to October 2024’s edition of “Book of the Month.” This month, we’re enjoying some time in the fall sun and the local library diving into Laura Madsen’s “AI & The Data Revolution.” The central theme of this book is the management and impact of artificial intelligence (AI) disruption in the workplace.
It has been eight years plus since the first edition of my book, Non-Invasive DataGovernance: The Path of Least Resistance and Greatest Success, was published by long-time TDAN.com contributor, Steve Hoberman, and his publishing company Technics Publications. That seems like a long time ago.
As some of you already know, I am dedicating these summer days to the writing of my new book, “99 Questions About Data Management,” which follows in some way the book “20 Things You Have to Know About Data Management.”
From Bob Seiner’s first book, Non-Invasive DataGovernance, we learned how to get the benefits of datagovernance without making major changes to our job roles or functions. That’s probably why Non-Invasive Data […]
What makes a databook great? Our time is valuable, so a good databook should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]
Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.
Please do let me know whether this article was helpful, and what more you would like to read with respect to data. Biography: Rupa Mahanti is a consultant, researcher, speaker, data enthusiast and author of several books on data (data quality, datagovernance and data analytics).
Datagovernance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.
Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series is “AI Governance” by Dr. Darryl J Carlton. The goal of the book in one sentence is to enable the reader to gain the knowledge and tools to effectively govern and oversee the use of […]
DataGovernance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.
What is a DataGovernance Framework? A datagovernance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.
Also, the fact that data scientists spend 80% of the time finding, organizing and cleansing, reflects on the poor state of both data quality and datagovernance. It is not astonishing that a 2022 data quality survey discovered that poor data quality impacts 26% of their companies’ revenue. What do you think?
Succeed As a Business Analyst was originally published in Analyst’s corner on Medium, where people are continuing the conversation by highlighting and responding to this story.
Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for both pleasure and to learn new things. One exception is Telling Your Data Story: Data […].
I never realized how complex data privacy rules can be for multinational companies until I read “Data Privacy Across Borders” by Lambert Hogenhout and Amanda Wang.
I love books that make you think. We The People, by Kathy Rondon, leads us down the path of rethinking what we do with data today and also, for most of us, makes us realize that we often do not consider ethics when using data today to make business decisions. To quote Kathy, “Just because […].
Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […].
Whether we’re booking a flight or shopping online, we must go through multiple authentication processes to prove our identity. And that’s quite important from an infosec perspective.
Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.
To talk with Bob Seiner is to talk with a friend and a personal reference in the field of data management. The fact that I have collaborated with him in the translation of his first book, Non-Invasive DataGovernance: The Path of Least Resistance and Greatest Success, into Spanish is a source of pride. After […]
You may also like the articles in the following lists — Free Resources for Data Analysis, Data Quality, etc… Data Quality, Data Analysis, Business Analysis Thank you for reading! She is also publisher of “The Data Pub” newsletter on Substack. Busting the “Excel is dead” Myth!
Informatica supports a variety of data sources and connectors and performs well in both on-premises and cloud data integration scenarios. The platform also supports metadata management, business rules, and datagovernance, which can help users improve data quality and ensure compliance.
My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), and how data models can be used to help organizations get from where they currently are to where they would like to be.
Once the migration is complete, you can verify data integrity by conducting a data validation check. Role of DataGovernance in Cloud Migration When migrating your data from on-prem to the cloud, you may overlook the documentation and design of datagovernance processes.
As a result, your data becomes quick to discover, easier to understand, and more accessible by humans and machines. A library wouldn’t just store books on random shelves; it would categorize them, label them, and have entries in a catalog system. Metadata management does the same thing for your data.
This quarter’s column draws on my keynote for DAMA Calgary’s contribution to DAMA Days Canada last month, which in turn drew on some of the content in the second edition of the “Data Ethics” book I wrote with my colleague Katherine O’Keefe (particularly, Chapter 3 and Chapter 11). My keynote looked at the thorny question […]
Once upon a time (the way every good fairy tale begins), a book or a paper by a Ted Codd or Bill Inmon would set in motion a sea change that swept us all in a new direction. We no longer live in that world. We now live in a world in which everyone talks, […]
Cataloging items has been a process used since the early 1900s to manage large inventories, whether it be books or antics. In this age, data management has become a necessary routine. Organizations have started to uncover large sets of data in the form of Assets typically used for analysis and decision making.
Over the course of this column, I’ve cited a wide variety of sources regarding gender, technology, data, and more. As everyone begins to compile their summer reading lists, I offer a formal selection of books and articles to peruse in your office, on the beach, or wherever you seek to practice equality in data work. […].
Poor DataGovernance, Access, and Security Transferring data is one thing, but what about the access permissions and governance policies surrounding that data? The data migration plan should ensure the target system will support all the required integrated tools.
This enables them to proactively monitor and address data quality issues, reducing the risk of errors in B2B EDI transactions. Implement Regular Monitoring and Maintenance: Establishing datagovernance practices and assigning data stewards are effective ways to ensure continuous data quality improvements.
This enables them to proactively monitor and address data quality issues, reducing the risk of errors in B2B EDI transactions. Implement Regular Monitoring and Maintenance: Establishing datagovernance practices and assigning data stewards are effective ways to ensure continuous data quality improvements.
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