Dataversity

DECEMBER 13, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe that […]. The post Dear Laura: How Can I Build Traction for Data Governance in a Start-Up?

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Dataversity

OCTOBER 7, 2024

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.

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Artificial Intelligence Data Governance Data Quality Government 130

The Data Administration Newsletter

DECEMBER 20, 2022

It has been eight years plus since the first edition of my book, Non-Invasive Data Governance: 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.

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Analysts Corner

DECEMBER 21, 2022

My future articles will focus on the data science skill sets, tools and technologies and learning resources. You may be interested in the articles in the following lists- Free Resources for Data Analysis, Data Quality, etc… Data Quality, Data Analysis, Business Analysis Thank you for reading!

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Big Data Healthcare Data Quality Data Analytics 246

Astera

APRIL 19, 2024

Data governance 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. Financial forecasts are reliable.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Dataversity

SEPTEMBER 18, 2023

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.”

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Dataversity

DECEMBER 2, 2024

Welcome to December 2024’s “Book of the Month” column. 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.

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Analysts Corner

FEBRUARY 5, 2023

Forrester reports suggest that between 60% and 73% of the total data is never used for analytics. An IBM study states 80% of data scientists utilize their time finding, organizing, and cleansing data (that is improving data quality), and only 20% on data analysis. Food for thought and the way ahead!

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Big Data IBM Maintenance IBM cost Data Quality 130

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance 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.

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Data Governance Government Data Architecture Data Quality 52

Analysts Corner

NOVEMBER 24, 2022

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.

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Data Governance Business Analysis Business Analysis Government 130

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Analysts Corner

MARCH 9, 2023

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. She is also publisher of “The Data Pub” newsletter on Substack. Why is Excel a double-edged sword?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

The Data Administration Newsletter

JANUARY 17, 2024

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.

Data Modelling 122

Data Modelling Data Quality Data Governance Government 122

Dataversity

MARCH 1, 2021

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 […].

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Data Warehouse Data Governance Data Modelling Data Quality 130

Dataversity

SEPTEMBER 21, 2022

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.

Digital 130

Digital Data Governance Data Quality Data Architecture 130

Dataversity

JULY 7, 2022

In his latest book, “Why Privacy Matters” (2022), Neil Richards connects privacy with the social power human information provides over others.

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Data Governance Data Quality Government 130

Astera

DECEMBER 9, 2024

Data Governance 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.

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Data Warehouse Data Governance Government Data Quality 52

Astera

AUGUST 30, 2024

Data Cleansing and Preparation Data cleansing and preparation can involve deduplicating your data sets to ensure high data quality and transforming your data format to one supported by the cloud platform. Read more: Practical Tips to Tackle Data Quality Issues During Cloud Migration 3.

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Data Governance Government Data Quality Documentation 52

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Metadata management does the same thing for your data.

Government 52

Government Data Governance Master Data Management Documentation 52

The Data Administration Newsletter

FEBRUARY 14, 2023

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, […]

Data Governance 52

Data Governance Data Quality Big Data Government 52

Astera

AUGUST 16, 2024

Let’s look at some reasons data migration projects fail: Risk of Data Integrity Loss Data quality maintenance is crucial to a smooth data migration process, especially when dealing with large volumes of data. Astera does all the heavy lifting involved in a data migration.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

JUNE 3, 2024

This allows data to be retrieved from various tables when needed, based on the established relationships. For example, if you manage a library database, you only store member details once instead of repeating them for every book borrowed.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Dataversity

OCTOBER 10, 2022

Four years ago, in a fit of naivete, I decided to write a book about Data Governance. I wasn’t naïve about Data Governance – I was naïve about what that book would bring about. After I left my corporate gig, I did a state-of-the-state in the data industry to get a broader understanding […].

Data Governance 130

Data Governance Government Data Quality Data Management 130

Domo

MAY 31, 2021

They recognize that by giving users data-exploration capabilities, companies can achieve: Improved data quality/accuracy for decision-making Increased confidence in data security and compliance Greater efficiency Broader data access Improved ability to collaborate. Getting started with self-service.

Logistics 98

Logistics Pharmaceutical Government Customer Experience 98

Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality IBM Maintenance IBM Support Finance 98

Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

MARCH 13, 2024

Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. Data Quality and Consistency Maintaining data quality and consistency across diverse sources is a challenge, even when integrating legacy data from within the Microsoft ecosystem.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. Data governance and compliance become a constant juggling act. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

Data Management 52

Data Management IBM Maintenance IBM Support Data Governance 52

Insight Software

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

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IBM Maintenance Data Quality IBM cost IBM Support 52

Insight Software

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Insight Software

OCTOBER 11, 2023

Maintaining robust data governance and security standards within the embedded analytics solution is vital, particularly in organizations with varying data governance policies across varied applications. Logi Symphony brings an overall level of mastery to data connectivity that is not typically found in other offerings.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 52

Insight Software

NOVEMBER 7, 2023

Security and compliance demands: Maintaining robust data security, encryption, and adherence to complex regulations like GDPR poses challenges in hybrid ERP environments, necessitating meticulous compliance practices. Streamlines data governance, enhancing data accuracy and allowing efficient management of data lifecycle tasks.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Finance 52

Insight Software

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. From Chaos to Control: Navigating Your Supply Chain With Actionable Insights Download Now Is Your Data AI-Ready?

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