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.

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?

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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.

Data Governance as a Puzzle

The Data Administration Newsletter

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 […].

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.

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.

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.

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.

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.

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.

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.

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!

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.

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?

Building a Data Governance Business Case

The Data Administration Newsletter

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

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.

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.

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.

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.

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.

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.

Common Data Governance Challenges & Their Solutions

Alation

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. Siloed Data.

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.

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.

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.

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.

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.

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

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.

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.

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.

Are Data Governance Bottlenecks Holding You Back?

erwin

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights.

Metadata Management, Data Governance and Automation

erwin

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. This research showed that the majority of responding organizations weren’t actually prepared for GDPR, nor did they have the understanding, executive support and budget for data governance – although they recognized the importance of it. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?.

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.

What’s the Current State of Data Governance and Automation?

erwin

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.

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 […].

Data Governance Tools: What Are They? Are They Optional?

erwin

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data governance refers to the strategic and ongoing efforts by an organization to ensure that data is discoverable and its quality is good. Data Governance Tools and Data Ethics.

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.

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.

Data Governance for Smart Data Distancing

erwin

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. Yay, data geeks! Distancing from Third-Party Data.

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.

Business Process Can Make or Break Data Governance

erwin

Data governance isn’t a one-off project with a defined endpoint. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security. Click here to download our latest, best practice guide for Data Modeling for free. Data governance success hinges on business process modeling and enterprise architecture.

The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. The business drivers and motivation should be the starting point for any data governance initiative. Govern PII “at rest”.