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Everything a Data Scientist Should Know About Data Management*: To be a real “full-stack” data scientist, or what many bloggers and employers call a “unicorn,” you’ve to master every step of the data science process — all the way from storing your data, to putting your finished product (typically a predictive model) in production. via Pocket https://ift.tt/2zqAI6l
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Data Governance: Workforce mobility and the rise of cloud services is an essential part of any business, but it creates a number of challenges for IT. Data spread across devices and cloud services, unpredictable schedules, and varied network connections all complicate efforts to protect and govern enterprise info... via Pocket https://ift.tt/2LeQCWT
Data Governance Tools: The Best Tools to Organize, Access, Protect: The digital transformation has dramatically changed the way we do business, and nowhere is this more apparent than when it comes to data governance. via Pocket https://ift.tt/2Zqg7i3
10 Best Data Governance Tools To Fulfill Your Data Needs in 2019: What is Data Governance? Data Governance is a centralized control mechanism to manage data availability, security, usability, and integrity. via Pocket https://ift.tt/3456FiF
Building a business glossary enhances data governance: The first thing for data architects and other data professionals charged with creating their organization's business glossary to remember is that it's not a one-person job, according to the panelists. It requires organizational commitment from the top down and help from data stewards. via Pocket https://ift.tt/2FIYDlB
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At a minimum, the DG “message” should consist of the following: What is DG? Why do we need it here? What are the benefits of DG? (Try to tailor this to your audience)
Tina McCoppin addresses success factors for a data governance communications plan. Marketing data governance is critical and Tina highlights some core messaging opportunities. Her minimum list is the brand (the what), the motivation (the why), and the benefits.
The motivation and the benefits are two angles on the same fundamental message. As I was reading her advice on messaging, it reminded me of Simon Sinek's Golden Circle, which captures how creative innovators focus on the "why", the "how", and then the "what" in that order. They focus first on their motivation and let that drive the "how". The "what" becomes incidental. This applies to data governance as much as to an iPad. One of my current priorities is to tune my ability to quickly and substantially articulate the "why" of data governance for different audiences. Data governance can improve customer engagement, reduce operating costs, increase revenue, and even increase the value of the company. It can reduce employee frustration as a fringe benefit of improved data quality. It's important that data governance leaders articulate these benefits, tailored to the varied audiences of investors, executives, data owners, and data stewards.
Tina rounds it out with a robust laundry list of important messaging points related to:
data governance policy
metrics
business case
status
stories
media coverage
This is valuable data governance marketing and awareness fodder and I'll refer back to this when I'm focused on awareness. Kudos to Tina! I plan to go back and check out Part 1 and Part 2.
