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.

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.

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 Roles and Responsibilities

TDAN

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

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 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 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.

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.

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.

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.

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.

[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.,

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.

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 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.

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.

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.

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.

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.

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.

Checklist to Building a Successful Data Governance Program

Sirius Computer Solutions

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders.

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.

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.

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?”

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.

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.

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).

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.

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 […].

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.

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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Who to Follow in 2019 for Big Data, Data Governance and GDPR Advice

erwin

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web.

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.

Make an Impact: Data Governance and the Lost Art of Enterprise Architecture

TDAN

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

Why next-generation execs should care about data governance

IBM Big Data Hub

There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance.

Can data governance create user satisfaction?

IBM Big Data Hub

Companies have a choice when it comes to their strategy for data governance. Aberdeen research shows that it can be onerous and bureaucratic, or it can be liberating and empowering