Recent Discussions
Wonderland
I've been to the mountain top and I've seen the promised land!! Quantum solutioning has finally been able to solve the mystery of black holes! That means, we can now create and collapse the biggest threat to our planet if ever a black hole generates in our solar system! BOOOM! Human kind is a lot safer than we've ever been.22 days agoData Scientist6Views0likes0Comments- 3 months agoData Advocate10Views0likes0Comments
512data Innovators – Let’s Brainstorm!
Hey 512data community! I’ve been thinking a lot about new ways we can push the boundaries of data, AI, and automation—especially in how we integrate with platforms like SFDC, CRM, and custom BMV2 plugins. What’s the next big idea? How can we revolutionize CRM automation beyond what’s currently possible? What’s a hidden UI component that would make community interactions more seamless? Can we redefine how SFDC objects interact with Care integrations? Whether it’s a wild idea, a feature request, or a game-changing workflow, drop your thoughts below! Let’s collaborate, innovate, and disrupt together.5 months ago512Official50Views2likes3CommentsExploring Random Data Trends *Downloadable CSV*
Data can tell fascinating stories, even when generated randomly. Today, we're diving into a randomly generated dataset that highlights values and percentages across 10 categories. This dataset offers a glimpse into how randomness can still reveal interesting trends when visualized and analyzed. The Dataset Here’s a quick overview of the dataset: Categories: 10 distinct categories labeled sequentially. Values: Random integers ranging from 10 to 100. Percentages: Randomly generated values between 0.00 and 1.00, rounded to two decimal places. Why Look at Random Data? Even though this data isn’t tied to a specific domain, examining it allows us to: Test data visualization techniques. Practice analytical methods without real-world biases. Explore patterns that might inspire new questions or ideas. Next Steps With this dataset, we can: Visualize the values to compare category performances. Analyze percentage distributions for patterns or anomalies. Create hypothetical scenarios based on the data. Stay tuned for the visualizations and insights we’ll derive from this random dataset! Let us know in the comments: How do you use random data in your analysis or testing workflows?6 months ago512Official32Views0likes0CommentsInteresting things on social!
Here is a linkedin post: Arnaud Lerondeau on LinkedIn: If you still wonder in 2025 what is the huge power of an online community... If you still wonder in 2025 what is the huge power of an online community for a brand, just read how Sky has pushed its own limits (and then, call us at Khoros... www.linkedin.com6 months agoData Advocate12Views1like0CommentsMore analytics seem to be available
I was in QuantumGrid and noticed there was a second layer of analytics that seemed to be there but was inactive. I checked my settings but couldn't do anything to actually activate it. Anyone have any ideas on what's wrong here?7 months agoData Scientist56Views0likes2Comments- 7 months agoData Advocate23Views1like1Comment