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Data governance can sometimes feel like a daunting endeavor. But honestly, it doesn't have to be. Fundamentally, it's about creating an environment where data is trusted, secure, and easily accessible to the people who need it while ensuring that all this is done within a framework that keeps your organization compliant and safe. However, implementing data governance often runs into internal barriers—confusion, resistance, and, sometimes, just plain misunderstanding about what data governance actually is and why it matters. Let’s talk about how to remove these hurdles. First things...

Scalable data governance is an approach that enables an organization’s data governance framework to grow right along with the organization itself. As the data ecosystem expands in terms of data volume, complexity, and various use cases, scalable data governance ensures that the governance structure remains effective. This framework is designed to handle changes and growth without losing its grip on the essentials: security, accessibility, and compliance.

Consider the policies and procedures that keep an organization’s data secure and compliant. In a scalable data governance setup, these policies are adaptable;...

I recently had an insightful conversation with a former colleague about the growing role of Artificial Intelligence (AI) in Product Lifecycle Management (PLM) enablement and how the data these solutions manage plays a critical role in AI's effectiveness.

We started by discussing the sheer amount of data that PLM solutions handle. These solutions manage everything from design data, engineering specs, and manufacturing details to quality control records and service data. And it’s not just straightforward data – we're talking about complex 3D models, CAD files, and BOMs.

My former colleague asked a great...

I really enjoy talking about data governance and wonder why more people don’t embark on the journey. In this blog, I will explore "How to best approach data governance."

To approach data governance effectively, it's important to follow a strategic and structured approach. Here are some key steps to follow:

1. Understand the Business Context: Start by understanding your organization's specific needs, goals, and challenges. Identify the business drivers and objectives that data governance aims to support. Consider your industry, regulatory requirements, organizational structure, and data landscape to determine the...

In a recent CIMdata webinar I did with my colleague Craig Brown, the topic of “Why” data governance is crucial for complex product development was described. Here is a summary of the reasons “Why.”

1. Data Consistency & Accuracy: Complex product development involves numerous teams, departments, and stakeholders working together. Data governance ensures that the data used throughout the development process is consistent and accurate. It establishes standards and guidelines for data collection, storage, and management, minimizing errors and discrepancies.
2. Regulatory Compliance: Complex product development often...

As a result of my recent blog, data governance vs. data management, I was asked what the difference was between digitization and digitalization. I think many times, conversations are often messy when they lack clear definitions of key terms. In this blog, I will highlight the distinction between digitization and digitalization. So, let's dive in and unravel the nuances between digitization and digitalization

The terms "digitization" and "digitalization" have distinct meanings but are often used interchangeably.

Digitization: Refers to the process of converting analog information or physical assets into...

A recurring question has emerged in recent conversations: What exactly sets data governance apart from data management? It's a valid inquiry, as the terms are sometimes used interchangeably, leading to confusion. In this blog, I will shed light on the distinction between data governance and data management, clarifying their roles and significance within the realm of effective data practices. So, let's dive in and unravel the nuances of data governance versus data management.

I think it is important to raise awareness about the distinctions between data governance and data management to ensure proper implementation and effective data management practices can be...

CIMdata’s 2023 PLM Market & Industry Forum series theme is “The Digital Thread: Powering Business Transformation.” At this industry-leading Forum, CIMdata will frame the digital thread and discuss the issues faced by industrial users. Event sessions provide critical information to the PLM Software and Service community enabling them to respond to new and evolving requirements. Learn more about the 2023 PLM Market & Industry Forum here.

CIMdata continues to investigate many topics of interest to the PLM Economy. One area we are currently focusing on...

On 13 August 2020, CIMdata’s Data Governance Consulting Practice sponsored an Educational Webinar, Data Governance in the Era of Digital Transformation. The webinar contained lots of helpful guidance on the topic. Here are the high points!

Download the Webinar

Digital transformation initiatives often succeed or fail based on the accuracy and availability of data. As a result, Data Governance is becoming recognized by most company executives as it should be. Many of these digital initiatives attempt to force a “data culture,” trying very hard to remove...

On 18 April 2021, CIMdata’s Data Governance Consulting Practice sponsored an Educational Webinar, Data Governance: Avoiding Digital Transformation Roadmap Detours. The webinar contained lots of helpful information. Here are the high points!

Download the Webinar

The success of any Digital Transformation initiative depends on addressing a host of critical issues. Chief among them is the robustness of the enterprise’s data model and the role that Data Governance plays. The concept of Data Governance is slowly gaining recognition as a “make or...