Netigate’s Post

𝐋𝐚𝐫𝐠𝐞 𝐜𝐨𝐧𝐭𝐞𝐱𝐭 𝐥𝐞𝐧𝐠𝐭𝐡𝐬 𝐢𝐧 𝐋𝐋𝐌𝐬 𝐚𝐫𝐞 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 𝐥𝐢𝐤𝐞 𝐦𝐮𝐥𝐭𝐢-𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐝𝐞𝐞𝐩 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐚𝐧𝐬𝐰𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧. They fuel creative endeavors and insightful responses. However, bigger isn't always better. Increased cost, information overload, and diminishing returns are downsides. Choose the right context size based on your task, data, and resources. Use small contexts for quick tasks and limited data, and large ones for complex scenarios.

Content performs best when it's backed with data 😎

I spent weeks working on my best piece of analysis ever. It was a flop. Here's what I learned. 1. The topic has to be interesting to the audience, not only me. 2. The story has to be presented in an interesting way that holds attentions. 3. The visualization should invite interactivity from the user so they can find their own insights. 4. No matter how much time you spend on something, the law of diminishing returns will eventually win. What do you think of this analysis? What can I do to make it more interesting and engaging? Try it yourself -> https://lnkd.in/d38kShKB

Using data to determine a writing piece’s success? Cool. Know what’s cooler? ⇣ Combine that data with self reflection. I ask myself: ➙ I like my piece because ____. ➙ It resonated with the audience because ____. ➙ Something I could improve or do differently is ___. ➙ My goal for next time is ___. Data is an ally. Self reflection is too. When I combine them? I’m unstoppable. ♡ #datadriven #selfreflection #writingprocess

Process Behaviour Charts (PBC), ignore the noise and outliers in your data and only act on real signals! Learn more about them in our last KISS post! Data Simplified Learn to make data driven decisions! 📈

🚀 𝐃𝐚𝐭𝐚 𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 - 𝐖𝐞𝐞𝐤𝐥𝐲 𝐊𝐈𝐒𝐒 (𝐊𝐞𝐞𝐩 𝐈𝐭 𝐒𝐢𝐦𝐩𝐥𝐞, 𝐒𝐭𝐮𝐩𝐢𝐝!) 🚀 25 - 𝑃𝑟𝑜𝑐𝑒𝑠𝑠 𝐵𝑒ℎ𝑎𝑣𝑖𝑜𝑟 𝐶ℎ𝑎𝑟𝑡𝑠: 𝑆𝑒𝑒𝑖𝑛𝑔 𝑡ℎ𝑒 𝑆𝑖𝑔𝑛𝑎𝑙 𝑖𝑛 𝑡ℎ𝑒 𝑁𝑜𝑖𝑠𝑒 Ever find yourself tweaking metrics for small ups and downs? 👀 With Process Behavior Charts (PBC), as explained by Mark Graban in his book 𝑀𝑒𝑎𝑠𝑢𝑟𝑒𝑠 𝑜𝑓 𝑆𝑢𝑐𝑐𝑒𝑠𝑠, it’s easy to separate meaningful changes from mere noise. Think of it as tuning out the static to hear the real music. 🎶 Here’s why they’re powerful: 💡 𝐂𝐥𝐚𝐫𝐢𝐭𝐲: They help you focus on significant shifts in data, not just everyday fluctuations. 📈 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧: Decision-making becomes about trends, not one-off spikes. ✅ 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Keep a pulse on process stability and efficiency without the guesswork. Stop reacting to noise and start listening to what the data really tells you. 🎧 Spotting real trends and signals in your process is what this book is all about. Want to learn more about PBC, a highly recommended read from our side: 𝑀𝑒𝑎𝑠𝑢𝑟𝑒𝑠 𝑜𝑓 𝑆𝑢𝑐𝑐𝑒𝑠𝑠 by Mark Graban. Feel free to contact us, if you want to learn more how this can help you and your business. #KISSWeekly #DataSimplified #DataAnalysis #ProcessBehaviorCharts #MeasuresOfSuccess #BusinessIntelligence

Just finished the course “Telling Stories with Data” by Paul A. Smith! Check it out: https://lnkd.in/ej8UUypc #datastorytelling.

Just finished the course “Telling Stories with Data” by Paul A. Smith! Check it out: https://lnkd.in/gjBVikMU #datastorytelling.

Ever tried to move anyone without "Research" or "Insights" in their job title by talking about data? It's a heavy lift without being able to transform data into a compelling story. Here are 3 tips that'll help you on your way to becoming an expert data storyteller https://bit.ly/3PxlRxy #datastorytelling #pragmaticmarketing #marketresearch

Just finished the course “Telling Stories with Data” by Paul A. Smith! Check it out: https://lnkd.in/dSGgAvSu #datastorytelling.