Revolutionizing Data Governance: A New Perspective and Chatbot Feedback
Natalie Greenwood
Sr. Principal Data Strategy and Data Governance Advisor | Board Member for the Strategic AI Program at the University of San Francisco | Marquis Whos Who Recipient 2024-2025 | Keynote Speaker | Patent Holder
The failure of enterprise-level data governance programs is a common issue. Such programs require buy-in from the c-suite, multi-year budgets, and a well-executed change management strategy. I call these "The Big 3” requirements. However, maintaining these requirements is a challenge, especially if the program does not show immediate results with high ROI.?
The risk of the program being stopped increases if:?
1. the c-suite changes (sponsorship dwindles)
2. priorities shift (budget is reduced)
3. or if the change management methodology does not fit within the organization’s culture?
The frustration caused by this situation prompted me to rethink data governance and propose an alternative approach. Through collaboration with colleagues and data governance leaders, I discovered that grassroots or bottom-up approaches to data governance are working effectively and becoming part of larger programs over time.?
For instance, IT-led initiatives are becoming a starting point for governance, as IT initiatives typically have governance built in. While ownership of DG ultimately needs to fall on the business, IT can kick-start a DG program.?
Additionally, grassroots or bottom-up initiatives are gaining traction. I’ve seen this firsthand when coupled with automation technology that enables users quickly and provides a quick win. Certainly, technology isn’t the only solution for data governance challenges. However, automating manual processes can be an effective way to showcase ROI quickly.
In short, it is important to celebrate and expand these efforts, rather than ignoring data governance altogether. DO something. Just DO SOMETHING.
Therefore, any level of data governance is valuable, and it is not a failure to have a single line of business, or IT led the initiative.
Check out my LinkedIn post if you want to hear what ChatGPT had to say about it!
Data-Driven Strategist: Enhancing Enterprise Performance with Advanced Analytics and Data Quality
1 年DO something. Just DO SOMETHING. ??
Account Executive @ Analytics8 | Data & Analytics Consultancy
1 年Awesome use of AI!
Poking at AI, sparking ideas | Teaching fun things while learning | Real Estate Investment & Sales |
1 年Natalie Greenwood I feel like your article is good. DG has typically entered companies from IT when it gets caught between competing definitions or business needs for the same data. Ideally, the practice it is grassroots, with significant and lasting support from the C suite. Data governance is best started without technology, in my opinion, as it fundamental is about business collaboration on data, KPI, and operational business standards. As for ChatGPT, I use it to stimulate new ideas, critic my ideas, and generally broaden the way I look at problems. So I love what you did, Natalie.
International Data Governance Expert | DAMA Lifetime Achievement Award Winner | Keynote Speaker | Author | Board Member | Bilingual | Advisor to Data Economy
1 年Thanks for this Natalie Greenwood. As a consultant I have not used ChatGPT as I want to rely on my own knowledge and experience. But, I will admit that getting the bot to critique what you have produced is a valid idea. That said, what is ChatGPT coming up with. I would suspect it is giving back the most popular viewpoints (AI is just pattern recognition at heart). So then I wonder if the most popular viewpoints are the correct ones, and am I prepared to go with what originally wrote and not the bot's critique?