The Weak Link in Data Governance? Analytics

David Menninger's Analyst Perspectives

Data governance is a hot topic these days. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations face more external oversight of their data governance practices.

Collibra Brings Effective Data Governance to Line-of-Business

David Menninger's Analyst Perspectives

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity.

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Differences Between Data Management and Data Governance

The Data Administration Newsletter

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].

AI Transforming Unstructured Data Governance

The Data Administration Newsletter

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place.

How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Watch Aaron Kalb, co-founder and CDAO at Alation, dive into the role of technology in shaping culture and show how a modern data catalog is helping innovative enterprises create thriving data cultures. Register for the webinar today!

What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Data Governance?

The Gamification of Data Governance

TDAN

Getting the business engaged with data governance can sometimes be a challenge. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to Data Governance.

All in the Data: Data Governance Bill of “Rights” Revisited

The Data Administration Newsletter

I last published my Data Governance Bill of “Rights” in a TDAN.com article circa 2017. I mentioned in the earlier piece that Data Governance is all about doing the “right” thing when it comes to managing your data. It’s all in the data.

Data Governance 2.0: The CIO’s Guide to Collaborative Data Governance

erwin

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Creating a Culture of Data Governance. Data Security.

Practical Points from the DGPO: Supportive Data Governance for EUC

The Data Administration Newsletter

[Publisher’s Note: This is the final column from the Data Governance Professionals Organization. This quarter’s column was written by Malcolm Chisholm of Data Millennium.] Thank you, DGPO, for providing content to the pages of TDAN.com over the past several years.

Automating Data Governance

erwin

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is powered by data. The State of Data Automation.

Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. Join David Loshin and Sharon Graves as they discuss the need to think about data governance with end users in mind, and explore how a machine learning data catalog can help.

A Data Governance Self-Assessment Test

The Data Administration Newsletter

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.

The Intersection of DataOps & Data Governance

DataKitchen

BigIDeas on the GO podcast host & BigID CEO Dimitri Sirota interviews DataKitchen CEO Chris Bergh on the importance & influence of DataOps on Data Governance. The post The Intersection of DataOps & Data Governance first appeared on DataKitchen.

Uncovering Trends in Data Governance

David Menninger's Analyst Perspectives

Effectively managing data privacy and security is a high-stakes matter. Yet organizations face an equally challenging imperative to ensure that business users have easy access to the data they need.

Integrating Data Governance and Enterprise Architecture

erwin

Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Automating Data Governance and Enterprise Architecture.

Improve Data Governance with These Data Modeling Tips

The Data Administration Newsletter

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

In this webinar, Aaron Kalb, co-founder and CDAO at Alation, dives into the role of technology in shaping culture and shows how a modern data catalog is helping innovative enterprises create thriving data cultures.

Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Incomplete data.

Requirements for Data Governance

TDAN

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.

How to Convince Stakeholders That Data Governance is Necessary

TDAN

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.

The Key Role of the Data Governance Partner

The Data Administration Newsletter

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.

Top Considerations for Building an Open Cloud Data Lake

In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users.

Moving from Traditional to Active Data Governance

Alation

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. Modern organizations have a choice when it comes to governance.

The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined.

Data Governance Maturity and Tracking Progress

erwin

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. erwin Data Intelligence.

The importance of data governance in AI

DataFloq

The relevance of data governance has much more to do than just managing the behemoth data within an organization’s repository. Hence, it is necessary for businesses to ensure the quality and integrity of their organization’s data to forge ahead in today’s data-driven world.

Who Should Own Data Governance?

TDAN

One of the first steps organizations take when preparing to deliver a data governance program is to determine where in the organization data governance should be placed. Or in other words, who should own data governance?

Data Management 20/20: Systemization of Data Governance

The Data Administration Newsletter

You’ve done Data Governance. But is it now time to systemize your Data Governance into an application?

Data Governance is a Crucial Part of Your Business Strategy

The Data Administration Newsletter

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation.

Building a Data Governance Business Case

The Data Administration Newsletter

When it comes to executing a data governance strategy, there is no standard approach.

Data Governance as an Emergency Service

erwin

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Deploying a Data Governance Strategy. Deploying individual data governance elements does not constitute a strategy, much less a sustainable program.

Non-Invasive Data Governance Q&A

The Data Administration Newsletter

What’s new in the world of non-invasive data governance? I am glad you asked.

What is Data Governance?

Alation

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Data Governance Roles. 3 Major Forms of Data Governance.

Keys to Successful Data Governance

TDAN

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.

Doing Cloud Migration and Data Governance Right the First Time

erwin

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way.

The “Right” Data Governance Approach

Alation

The post The “Right” Data Governance Approach appeared first on Alation. Industry News Alation data catalog data governance data management data stewardship

What is Active Data Governance?

Alation

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. A New Approach to Data Governance.

Alation Launches Data Governance App and Supporting Service Offering

Alation

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. This will enable you to choose exactly the right mix of data catalog plus apps that best meet your business needs.

One Data Governance for All

TDAN

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, […]. I know that some people will disagree with me.

Lean Data Governance Strategies

TDAN

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […]. The way that you go about this is up to you.

How Data Governance Protects Sensitive Data

erwin

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance.

Common Data Governance Challenges

TDAN

Organizations faced with the delivery of formal Data Governance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized. The challenges are not the same for all organizations. However, there are several that seem to appear more often than not, and I will […].