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.

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.

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One Data Governance for All

TDAN

There is … but one … Data Governance. I know that some people will disagree with me.

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.

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.

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. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping.

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.

Automated Data Governance 101

KDnuggets

The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons about how data science and governance programs can, if implemented properly, reinforce each other’s objective.

Data Governance Roles and Responsibilities

TDAN

Roles and responsibilities are the backbone of a successful information or data governance program.

Lean Data Governance Strategies

TDAN

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. The way that you go about this is up to you.

Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Data Governance Makes Data Security Less Scary

erwin

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. Don’t Scream; You Can Protect Your Sensitive Data.

Business Glossary and Metadata: Small Teams Data Governance

TDAN

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.

5 Ways Data Modeling Is Critical to Data Governance

erwin

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan.

Steps to an Effective Data Governance Structure

TDAN

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that data must be governed through policy and monitoring.

Data Governance Framework: Three Steps to Successful & Sustainable Implementation

erwin

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. Issues regarding data quality and ownership. Concerns about data lineage.

Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

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). Govern PII “at rest”.

Viable Smart Cities Require Data Governance

TDAN

Everyone is familiar with the term smartphone. These devices have become ubiquitous and many individuals have come to depend on them to navigate through our complicated world. They can assist users in a wide variety of ways that were unthinkable a mere 20 years ago.

The Non-Invasive Data Governance Framework – The Details

TDAN

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections.

Data Governance Masterclass with Anwar Mirza

Corinium

As the management of data becomes a recognised business imperative, it’s essential to arm the C-suite with a structured and methodical approach to the subject.

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.

Toward Data Governance’s 4th Era

TDAN

Has there ever been a time where more people were talking about data and writing about data than now, as 2020 and a new decade begins? Data analytics is hot. Every company wants to be data driven and every business and individual is […]. It was the best of times. It was the worst of times.

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.

Top 10 Data Governance Predictions for 2019

erwin

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott.

All in the Data: Data Governance Made Easy

TDAN

Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize.

Make an Impact: Data Governance’s Missing Piece

TDAN

It’s no secret that Data Governance is difficult to get right. The pattern usually goes something like this: 1) Executive sponsor gets excited about data, decides to do Data Governance (again) but get it right this time.

Business Glossaries and Metadata: Data Governance May Require a Village

TDAN

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.

Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Cataloging (61%). Data Mapping (53%).

Data Governance Stock Check: Using Data Governance to Take Stock of Your Data Assets

erwin

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology.

Learn about data governance with these books, videos, and tutorials

O'Reilly on Data

This collection of data governance resources will get you up to speed on the basics and best practices. Whether you’re just getting started with data governance or you have previous experience, you’ll find something useful on this list of data governance resources.

Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent.

Practical Points from the DGPO: Sustaining Data Governance

TDAN

One could argue it has become cliché to make references to the enormous significance and proliferation of data globally. Human and machine generated data is increasing even more rapidly at 10x that of traditional business data [1].

A Predictor of Data Governance Success

TDAN

Getting business and leadership support for data governance programs – and building a data culture on that buy-in – remains a significant challenge in many organizations.

Initiating a Data Governance Program in Financial Services

Perficient Data & Analytics

Previously, I discussed the components needed to design a data governance strategy. This post will describe in detail, how to initiate the data governance program. The assessment will also indicate any data management components already in place, in some form.

Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

[Guide] Designing a Data Governance Program in Financial Services

Perficient Data & Analytics

Data is the lifeblood of any company. In recent years, firms have recognized data as an independent asset that should be managed and leveraged to fully reap its benefits. Firms began to consider previously overlooked sources of data, such as machine data (e.g.,

Google’s Record GDPR Fine: Avoiding This Fate with Data Governance

erwin

The General Data Protection Regulation (GDPR) made its first real impact as Google’s record GDPR fine dominated news cycles. s Information Commissioner’s Office (ICO) fines of 500,000 pounds ($650,000 USD) against both Facebook and Equifax for their data protection breaches.

Components of a Data Governance Strategy in Financial Services

Perficient Data & Analytics

Previously, I analyzed the types of data in a governance program for financial services companies. In this post, I discuss the components needed to design a data governance strategy. Data Validation & Quality. Data Lineage & Journey.

Getting Started With Data Governance

Perficient Data & Analytics

Data governance doesn’t start in a vacuum; it requires plenty of advance thinking, preparation, and strategy. As such, successful data governance must begin with a foundation built on data principles and a well-thought-out data strategy.

5 Tips for Transparency in Claims Processing Using Data Governance

Perficient Data & Analytics

This is a common question when it comes to performing analysis on claims data and is becoming increasingly important with regulations on billing transparency on the way. The logic used for claims processing is typically embedded in code and is not transparent to those reporting on claims data.

Responsibility of Data Architecture in Data Governance

Perficient Data & Analytics

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. An enterprise data model provides a common, well-understood classification of data.

Practical Points from the DGPO: You Can Be Successful in Data Governance

TDAN

Aren’t you tired of seeing articles, blogs, and postings about struggling and failing data governance programs? One of the frequent questions that the Data Governance Professionals Organization (DGPO) receives is “can anyone REALLY be successful with data governance?”

The Non-Invasive Data Governance Framework – The Framework Structure

TDAN

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com).