Stakeholder Engagement for Data Governance Program Success
TDAN.com
by Lata Garlapati
1w ago
A successful data governance program can reap tremendous benefits for an organization, including: 1) trusted, timely, secure, and easily available data for authorized users, 2) data-driven decision making, 3) being nimble to ever-changing regulatory landscape, 4) future-focused business insights, innovation, data monetization and 5) competitive advantage, cost savings, and credibility. Excellent stakeholder engagement is one ..read more
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Data is Risky Business: I Want My ChatGPT
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by Daragh O Brien
1w ago
The world is a-buzz with articles about ChatGPT and other Large Learning Models such as Google’s Bard. The tone and tenor of these articles range from blind hype to abject horror. Some of the hype sounds like a bad paraphrase of Dire Straits: “Look at them losers, that’s the way you do it. Running your ..read more
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What is a Data Clean Room?
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by Aaron Colcord
1w ago
As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn. Now, anyone ..read more
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Data’s Role in Improving Customer Service
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by Nellie Marteen
1w ago
As customer service continues to be a top priority for businesses, data has become a crucial aspect of improving the way they interact with their customers. By utilizing CRM software and call center software, companies are able to easily access and analyze customer data to provide a personalized experience. Studies have proved the benefits of ..read more
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Sentiment Analysis To Connect With Customers
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by Grace Lau
1w ago
Customers are constantly giving feedback on products or services they have received. But how can retailers use this to create a better service? It can take time to track customer satisfaction rates and reviews. But there are benefits to analyzing customer sentiment. This blog will look at what sentiment analysis is, and why retailers need ..read more
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Data’s Gender Gap: What Data Goes Into the Products We Use?
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by Mandy Seiner
1w ago
What is data without research? And how else can we know we have good, usable data except besides knowing that we have conducted good, thorough research? In recent months, controversy has popped up across news channels regarding Thinx Underwear. For those unfamiliar, Thinx is a company offering “washable, reusable underwear” that claims to look like ..read more
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ChatGPT and the Commoditization of Expertise
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by Larry Burns
1M ago
There’s been a lot of Chat about ChatGPT, the new AI chatbot being developed by a company called OpenAI. Indeed, people seem to be talking about little else, as far as I can see. So, let me put in my two cents worth here, for public consumption and consideration. First, for the one or two ..read more
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The Data-Centric Revolution: Zero Copy Integration
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by Dave McComb
1M ago
I love the term “Zero Copy Integration.” I didn’t come up with it, it was the Data Collaboration Alliance,[1] that came up with that one. The Data Collaboration Alliance is a Canadian based advocacy group promoting localized control of data along with federated access. What I like about the term is how evocative it is ..read more
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How Will Artificial Intelligence Impact Project Management?
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by Scott Ambler
1M ago
The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Gartner has predicted that by 2030, upwards to 80% of project management work will be automated by artificial intelligence (AI). Although 80% is arguably a bit extreme, I expect ..read more
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Through the Looking Glass: Sounds of Data – Part 1
TDAN.com
by Randall Gordon
1M ago
“There is nothing new under the sun.” Ecclesiastes 1:9 I know this biblical quote has serious implications. But here, I cite it only in the context of what I expected to be true about data. I’ve reached that well-seasoned stage of my data governance career where I continuously run into the same problems and challenges ..read more
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