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.

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.

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.

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.

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

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.

One Data Governance for All

TDAN

There is … but one … Data Governance. 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. The way that you go about this is up to you.

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”.

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.

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.

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.

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.

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.

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.

[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.,

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.

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.

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.

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.

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.

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.

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.

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.

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].

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.

Establishing Authoritative Sources in Data Governance

Perficient Data & Analytics

Establishing an authoritative sources capability confirms the enterprise approved source for data ownership, including both origination and distribution. Data will need to be classified in an agreed-upon enterprise data model.

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.

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.

Defining Organizational Roles in a Data Governance Road Map

Perficient Data & Analytics

The data governance road map should define a data governance operating model and organization structure. While the roles may vary from company to company, some of the key roles include data councils, data owners, data stewards, and data consumers.

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).

All in the Data: Calm Management’s Fears About Data Governance

TDAN

Wouldn’t it be great if you could simply put structure around how your organization governs your data without throwing a lot of money and resources at the problem? It’s all in the data.

Five Benefits of an Automation Framework for Data Governance

erwin

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Practical Points from the DGPO: What Data Governance Is and Is Not

TDAN

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

The Non-Invasive Data Governance Framework – The Levels and Components

TDAN

Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. In part two, I detail each of the labels on the rows and columns of the framework. I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […].

Data Governance Solutions for Data Compliance

Octopai

In the entire history of business, dealing with data has never been easier thanks to advances in computer processing, storage, and networking. – Processing: Here, too, cloud computing provides affordable, scalable computing power for the most demanding data processing tasks.

Implementation – Data Governance Primer

The Data School

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Security – Data Governance Primer

The Data School

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Integrity – Data Governance Primer

The Data School

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Usability – Data Governance Primer

The Data School

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Availability – Data Governance Primer

The Data School

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