Best Practices

Why Differentiating Between Data Governance and Data Management Matters

Why Differentiating Between Data Governance and Data Management Matters

Author

PUBLISHED ON

I was asked the other day: what is the difference between data governance and data management.  And why does it matter? To be honest, what truly matters for an organization is not the definition of terms but rather how efficiently and effectively the organization uses data for decision making.  Whether an organization correctly defines data governance or data management matters only if doing so helps the organization maximize its use of one of its most important assets: its data.  

However, I do think there is value in defining and contrasting the two terms for one reason. Not understanding the differences between the two and incorrectly setting up programs to govern and manage your organization’s data can lead to improper and ineffective implementations of your data governance and/or management programs.  

Many people – even experts – do not correctly define data governance. Merriam-Webster defines governance as: The act or process(es) of overseeing the control and direction of something. Simply put – governance is a system relating to how decisions are made. Data governance is then the system put in place to make decisions controlling data.  

Data Management, on the other hand, is the practice of collecting, organization, protecting and storing an organization’s data.  

So, within a data governance program, you would make decisions about how data is managed.  And, in the data management program, you would implement those decisions.  

Yet, if you look at this article from dataversity:

https://www.dataversity.net/data-governance-vs-data-management/ Or this posting: https://www.to-increase.com/master-data-management/blog/data-management-versus-data-governance

You would think that Data Governance is a subset of data management. These articles claim that the control of data is just one aspect of an overall data management program.  

Why is this view incorrect?

Look at the following two diagrams:

Both diagrams show Data Management as the Center of the data universe. And they show data governance as only one component of data management. This view, I would argue, is an IT-focused view. This view puts Data Governance on the same level as data quality, security, master-data and integration. However, a good data governance program makes decisions about to what levels data should be cleaned within your environment. Data Governance makes the decisions about who should have access to which pieces of information. A data management effort, then, would implement those decisions.  

By making Data Governance a single component of Data Management we make the entire picture / architecture an IT focused initiative. And while the management of data maybe should be a technical endeavor, the decision-making process dictating what happens with an organization’s data should NOT be solely an IT activity. What would your company say if IT wanted to make decisions on how money was managed? There would be a revolt. IT certainly should be involved in providing the tools, software, security to the effort of managing money. But the decision-making process of managing money should be controlled by and involve others in the company. In the same way, the decision-making process for managing data – another company asset – should also be controlled by / involve others in the organization outside of IT. IT will provide the tools, software, security etc. towards facilitating the implementation of the decisions made by a data governance program.  

Info-Tech’s diagram below, I believe, comes closer to a positive framework that has better potential to be successfully implemented.  

This framework shows Data Governance as the center piece for data enablement. Which is the proper way to think about creating an entire effort around the controlling, managing and utilizing the data within your organization.  

At Pandata Group, we think about the relationship of data governance to data management as what is pictured below:

Data Governance determines how decisions are made about each of the pillars within a data management program. And an organization’s data governance program should involve people in key roles (i.e. Owners, Stewards, etc) from all aspects of the business: Finance, Operations, Sales, Marketing, HR, etc.  

In our next blog post, we will discuss how to start implementing a data governance program to build your organization's analytical capabilities.  

By: Jason Fishbain |  Data Governance Practice Lead

Latest

Police Data Analysis - Moving from Statistics to Insights

Data Analytics

Police Data Analysis - Moving from Statistics to Insights

This six part blog series examines how one community dug deeper to analyze policing efforts when the statistics didn't add up. We'll showcase what steps needed to be taken to better understand the data that was presented. From understanding the data and building the data set to quality control and presentation of insight, and finally to the lessons learned. Join us each week as we uncover more to the story and move from statistics to insights.

Read
Police Data Analysis - Moving from Statistics to Insights

Data Analytics

Police Data Analysis - Moving from Statistics to Insights

This six part blog series examines how one community dug deeper to analyze policing efforts when the statistics didn't add up. We'll showcase what steps needed to be taken to better understand the data that was presented. From understanding the data and building the data set to quality control and presentation of insight, and finally to the lessons learned. Join us each week as we uncover more to the story and move from statistics to insights.

Read
Police Data Analysis - Moving from Statistics to Insights

Data Analytics

Police Data Analysis - Moving from Statistics to Insights

This six part blog series examines how one community dug deeper to analyze policing efforts when the statistics didn't add up. We'll showcase what steps needed to be taken to better understand the data that was presented. From understanding the data and building the data set to quality control and presentation of insight, and finally to the lessons learned. Join us each week as we uncover more to the story and move from statistics to insights.

Read
Why Differentiating Between Data Governance and Data Management Matters

Best Practices

Why Differentiating Between Data Governance and Data Management Matters

This week's Looking Forward blog highlights the importance of differentiating between data governance and data management. Jason Fishbain provides a great reminder of the differences between the two strategies and how each one impacts your organization.

Read
Police Data Analysis - Moving from Statistics to Insights

Data Analytics

Police Data Analysis - Moving from Statistics to Insights

This six part blog series examines how one community dug deeper to analyze policing efforts when the statistics didn't add up. We'll showcase what steps needed to be taken to better understand the data that was presented. From understanding the data and building the data set to quality control and presentation of insight, and finally to the lessons learned. Join us each week as we uncover more to the story and move from statistics to insights.

Read
Unlocking New Possibilities for Business Leaders. Getting Started with Gen AI.

Discovery

Unlocking New Possibilities for Business Leaders. Getting Started with Gen AI.

In the second blog of our Looking Forward series, we explore the discovery category. Here Sumanth Donthula touches on what Generative AI is, how its leveraged, and how you can get started with Gen AI in your organization.

Read
Pandata Group Launches Bamboo SDC:  Rewire Your Sustainability Data Management

Annoucements

Pandata Group Launches Bamboo SDC: Rewire Your Sustainability Data Management

Pandata Group is proud to announce the launch of Bamboo Sustainability Data Cloud (SDC). This innovative platform streamlines the collection and management of Sustainability and Environmental, Social, and Governance (ESG) data, helping organizations enhance efficiency and become more data-driven with accurate, well-modeled, and reliable data. Powered by the Snowflake AI Data Cloud, Bamboo SDC collects, structures, and processes data to develop AI-based insights and sustainability strategies.

Read
Snowflake: Evolving into an AI Powerhouse

Emerging Technologies

Snowflake: Evolving into an AI Powerhouse

What better way to kick off our new blog series, Looking Forward, than to dive into the conversation we're all having - AI. In this blog, Jefferson Duggan explores how Snowflake, a known data warehousing and cloud platform powerhouse, is pivoting to something bigger. He also discusses how emerging technologies such as Open AI are paving the way.

Read
Mastering the Data Cloud Summit: What to Pack

Events

Mastering the Data Cloud Summit: What to Pack

It's that time of the year again. Snowflake Data Cloud Summit is right around the corner and we're planning our trip to San Fransisco. Are you? Over the next few weeks, we'll highlight why you should attend, dos and donts of summit, what to pack, and everything in between to ensure you're prepared for the four-day conference. Explore why you should attend in part one here!

Read
Mastering the Data Cloud Summit: Must Do Activities During Your Visit

Events

Mastering the Data Cloud Summit: Must Do Activities During Your Visit

It's that time of the year again. Snowflake Data Cloud Summit is right around the corner and we're planning our trip to San Fransisco. Are you? Over the next few weeks, we'll highlight why you should attend, dos and donts of summit, what to pack, and everything in between to ensure you're prepared for the four-day conference. Explore why you should attend in part three here!

Read
Mastering the Data Cloud Summit 24: Dos and Donts

Events

Mastering the Data Cloud Summit 24: Dos and Donts

It's that time of the year again. Snowflake Data Cloud Summit is right around the corner and we're planning our trip to San Fransisco. Are you? Over the next few weeks, we'll highlight why you should attend, dos and donts of summit, what to pack, and everything in between to ensure you're prepared for the four-day conference. Explore why you should attend in part one here!

Read
Mastering the Data Cloud Summit 24: Why Attend?

Events

Mastering the Data Cloud Summit 24: Why Attend?

It's that time of the year again. Snowflake Data Cloud Summit is right around the corner and we're planning our trip to San Fransisco. Are you? Over the next few weeks, we'll highlight why you should attend, dos and donts of summit, what to pack, and everything in between to ensure you're prepared for the four-day conference. Explore why you should attend in part one here!

Read
The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution

Annoucements

The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution

This book presents a comprehensive framework that can be applied to your organization, exploring the value drivers and challenges you might face throughout your AI journey. You will uncover effective strategies and tactics utilized by successful artificial intelligence (AI) achievers to propel business growth.

Read
Using Snowflake Git + Kestra to Automate Pipelines

Best Practices

Using Snowflake Git + Kestra to Automate Pipelines

The power of using Kestra, an open-source declarative data orchestration tool.

Read
Transforming Data into Decisions: The Snowflake Revolution in AI/ML

Digital Transformation

Transforming Data into Decisions: The Snowflake Revolution in AI/ML

In the words of a widely acknowledged metaphor, 'Data is the oil of the 21st century, and AI/ML serves as the combustion engine, powering the machinery of tomorrow's innovations.' This analogy succinctly encapsulates the essence of our digital era, underscoring the indispensable roles that data and artificial intelligence/machine learning technologies play in powering the innovations that shape our future.

Read
Tis the Season of Gratitude: Simple Ways to Show Employees You Care Pt 2

Culture

Tis the Season of Gratitude: Simple Ways to Show Employees You Care Pt 2

Show your team how much you value them and there’s nothing they won’t strive to accomplish. We’ve got 4 great ways to show your employees your appreciation.

Read
Tis the season of gratitude: Simple Ways to Show Employees You Care Pt 1

Culture

Tis the season of gratitude: Simple Ways to Show Employees You Care Pt 1

Employees who feel valued and appreciated by their leaders are far more likely to go above and beyond in their work. Here are 5 simple ways to show gratitude to your team.

Read
Hey, you! Get on to my Cloud!

Industry Clouds

Hey, you! Get on to my Cloud!

The emergence of industry data clouds is to help accelerate the development and adoption of digital solutions such as data, apps, and AI. So, what is a data cloud and how do respective industry’s adopt it? In this series we’ll highlight how a data cloud works, the core benefits, industry use case examples, and potential obstacles to consider when implementing it.

Read
4 Reasons to Work with a Snowflake partner for Data, Analytics, and Machine Learning

Digital Transformation

4 Reasons to Work with a Snowflake partner for Data, Analytics, and Machine Learning

It requires the right technical skillset to realize your data’s full potential and see the benefits of a modern data stack built in the Snowflake Data Cloud.

Read
Why Manufacturing Leaders Should Embrace the Cloud in 2023

Digital Transformation

Why Manufacturing Leaders Should Embrace the Cloud in 2023

Now more than ever, CIOs and Leadership need to collaborate and look to the unique advantages of cloud, data, and analytics

Read
The Whats, Whys, and Hows of an Analytical Community of Excellence

Data Analytics

The Whats, Whys, and Hows of an Analytical Community of Excellence

Communities of Excellence can create operational efficiencies, drive higher ROIs on data related projects, and create trust in the organization’s information.

Read
Snowflake Summit 2023: Three Days In The Desert With Plenty Of Snow

Snowflake Summit 2023: Three Days In The Desert With Plenty Of Snow

From inspiring keynote speeches to hands-on workshops, the Snowflake Summit 2023 provided attendees with invaluable insights and practical knowledge.

Read
Data Modeling In The Cloud Era

Data Modeling In The Cloud Era

Here is why data modeling is a vital part of enterprise data management.

Read
The Time is Now for Manufacturing to Adopt Cloud Analytics

Data Analytics

The Time is Now for Manufacturing to Adopt Cloud Analytics

The manufacturing industry is undergoing a digital transformation, and one of the key technologies driving this transformation is cloud analytics.

Read