The importance of reviewing log data for decision-making.

Sophisticated courts act with clarity by measuring what matters. They leverage data insights to see which processes create unnecessary delays, where resources are strained, and how performance varies across jurisdictions, departments, or case types. They measure the results of current practices 𝘣𝘦𝘧𝘰𝘳𝘦 deciding to how to solve preconceived problems. They move past assumptions and instead embrace evidence-based action. 🔹𝐖𝐡𝐲 𝐂𝐨𝐮𝐫𝐭𝐬 𝐒𝐡𝐨𝐮𝐥𝐝 𝐌𝐞𝐚𝐬𝐮𝐫𝐞 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: https://ow.ly/MjE550Xhzq0

Hello Datafam, Do you often struggle with how to apply “AND” and “OR” in logical statements? Watch this video to learn more. I believe that once you understand these basics, it will help you tackle more complex problems that come your way. Have a wonderful day!

If you’re avoiding systematizing your practice, ask yourself: What are you afraid the data will show you? Because whatever it is—you already know it. The only question is whether you’re willing to see it in writing.

“When there is no long term vision, there is no reason to build anything that lasts beyond the next performance review.” – anonymous X-User Logic dictates, that you wouldn’t touch a running system to change it according to a plan that either doesn’t exists or that you have no strong conviction about. Data & research will never replace conviction and long-term commitment.

Ideally, your DEL experiment goes perfectly, but as we all know, our scientific efforts are often full of surprises. When your data isn't behaving the way you expected you need the tools that help resolve issues quickly. YoDEL's visual sequence analysis tools give you insight and transparency that simplifies your troubleshooting efforts even in complex multi-DNA-schema datasets.

Making smarter decisions starts with data that’s decision-grade. Christopher Frank writes about how to evaluate the information you’ve collected for reliability and context before using it when the stakes are high.   Swipe below for more, and check out the full summary of this latest chapter from Decisions Over Decimals (written with Oded Netzer and Paul Magnone) here: https://lnkd.in/gf_YwC2r

The most expensive mistake in data isn’t bad math. It’s bad lineage. If your ROAS number is wrong, how long would it take you to figure out why? If the answer is “hours” or “days,” you don’t have lineage. With lineage, you can trace a number back step by step until you see exactly where it broke. Without it, you’re stuck second-guessing every formula. And once that trust is broken, every number is suspect. Every decision slows down. Every meeting turns into an argument about “which report is right.” Fix the lineage, and you fix the trust. Fix the trust, and you fix the business.

"Collecting information on dissidents…is something that even low-capacity states, if they have access to basic data-scraping and analysis tools, can do at scale." https://lnkd.in/edaetkRP

What is availability bias? Availability bias occurs when we rely disproportionately on the most readily available information to make decisions or judgments rather than the most representative or accurate data. Intrigued? Read the full post with tips on mitigation here: https://lnkd.in/eF94b9xy The Decision Lab #ThoseNerdyGirls #availabilitybias