Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105

Metadata Management Data Governance Machine Learning 105

erwin

DECEMBER 19, 2019

To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Four Use Cases Proving the Benefits of Metadata-Driven Automation.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

TDAN

MAY 17, 2022

There is… but one… Data Governance. Maybe you are one who believes that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0,

Data Governance 98

Data Governance Metadata Big Data Data Strategy 98

Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data.

Metadata 89

Metadata Management Interactive Strategy 89

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated.

Data Governance 144

Data Governance Metadata Risk Strategy 144

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

OCTOBER 8, 2020

That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value. Why You Need Cloud Data Governance. Regulatory compliance is also a major driver of data governance (e.g., GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

TDAN

NOVEMBER 14, 2023

Organizations are driven by their mission and the underlying strategies to accomplish that mission. Organizations that fail to understand their mission and strategies will at best flounder and at worst fail. The outline in the following article will help an organization manage its metadata about itself (mission, strategies, etc.)

Metadata 52

Metadata Strategy Management IT 52

TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 85

Insurance Strategy Data Governance Data Integration 85

CDW Research Hub

JUNE 24, 2021

Metadata provides basic information (the who, what, when, where, why) about your data assets. Some attributes it can contain include the data source, date of last update, and even the assigned data steward (the “go-to” person for questions regarding the data asset). Think of metadata as your data’s life story.

Metadata 52

Metadata Data Governance Management Strategy 52

TDAN

SEPTEMBER 5, 2023

Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy. A robust data governance policy ensures compliance and security and improves the quality of Business […]

Data Governance 52

Data Governance Business Intelligence Strategy Management 52

TDAN

AUGUST 16, 2022

Unfortunately, a lot of data governance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program.

Data Governance 98

Data Governance Metadata Data Strategy Strategy 98

TDAN

SEPTEMBER 17, 2019

In my last article I suggested that many organizations have approached Data Governance incorrectly using only centralize data governance teams and that approach is not working for many.

Data Governance 76

Data Governance Metadata Data Strategy Strategy 76

TDAN

MAY 16, 2023

Non-Invasive Data Governance (NIDG), like the popular Netflix series Stranger Things, offers a mysterious and complex reality for organizations to navigate. I am often asked how it is possible to navigate these realities and implement NIDG in the real world. Just as the characters […]

Data Governance 95

Data Governance Management IT Metadata 95

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Five Steps to GDPR/CCPA Compliance. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Let’s look at five different ways.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

CIO Business Intelligence

APRIL 29, 2022

Data-centric AI is evolving, and should include relevant data management disciplines, techniques, and skills, such as data quality, data integration, and data governance, which are foundational capabilities for scaling AI. Further, data management activities don’t end once the AI model has been developed.

Data Governance 144

Data Governance IT Risk Data Lake 144

TDAN

DECEMBER 2, 2020

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

Data Quality 90

Data Quality Metadata Data Governance Management 90

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 105

Analytics Metadata Data Strategy Optimization 105

TDAN

NOVEMBER 5, 2019

There is … but one … Data Governance. Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

Data Governance 69

Data Governance Metadata Big Data Data Strategy 69

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

Data Governance 145

Data Governance Data Quality Metadata Data Strategy 145

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. It’s becoming critical that organizations should adopt a data architecture that supports AI governance. The time for data professionals to meet this challenge is now.

Strategy 91

Strategy Data Architecture Cost-Benefit Reporting 91

TDAN

MARCH 16, 2021

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105

TDAN

JUNE 15, 2021

I debated over whether to title this article Data Governance as a Puzzle … or Data Governance is a Puzzle. I selected the first option and decided to use this article to provide a comparison of data governance and good puzzles; rather than […].

Data Governance 80

Data Governance Metadata Data Strategy Strategy 80

TDAN

JUNE 18, 2019

Is your organization struggling to succeed with your Data Governance program? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. Is adoption by the business an issue for you?

Data Governance 56

Data Governance Metadata Data Strategy Business Intelligence 56

TDAN

JULY 6, 2021

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.

Data Governance 98

Data Governance Modeling Metadata Data Strategy 98

TDAN

APRIL 5, 2022

Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 1 The terms “Data Mesh” and “Data Fabric” are the most recent examples of names being given to something that describes techniques to help organizations manage their data.

Data Governance 98

Data Governance Management Data Architecture Metadata 98

TDAN

JANUARY 14, 2020

Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89

TDAN

APRIL 20, 2021

I published an article a few months back that was titled Where Does Data Governance Fit in a Data Strategy (and other important questions). In the article, I quickly outlined seven primary elements of a data strategy as an answer to one of the “other important questions.”

Data Strategy 98

Data Strategy Strategy Data Governance Publishing 98