unique
unique at Beyond Market Intelligence is a file of 4 stories. The newest of them: “Nested lookup logic made simple for multi-row pivot table data”, “Summarize Across Departments with Flexible, AI-Powered Criteria”, and “Uncomplicate comma-separated data with one powerful sort formula.”. Matching business numbers to cities in a pivot table sounds straightforward, until you realize those numbers repeat across locations. Hard-coding department IDs into a SUMIFS formula works, until it doesn't. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every unique story on Beyond Market Intelligence, newest first.
Nested lookup logic made simple for multi-row pivot table data
Matching business numbers to cities in a pivot table sounds straightforward, until you realize those numbers repeat across locations. A user here needs a formula that checks both the business number *and* the city before pulling the right data. That's nested lookup logic, and it's exactly where traditional spreadsheets start to feel limiting. An AI-native approach can simplify this kind of multi-condition matching, turning a tangled formula into a clear, direct query.
Summarize Across Departments with Flexible, AI-Powered Criteria
Hard-coding department IDs into a SUMIFS formula works, until it doesn't. When your roll-up codes shift, manually updating those arrays becomes a drag, and that's exactly the trap you're hitting. The good news is your instinct is right: you can make this variable without sacrificing accuracy. The issue is that SUMIFS expects an actual array, not a text string that looks like one. Instead of wrestling with concatenation, try using SUMPRODUCT with a nested lookup to match Table1's departments against the filtered roll-up list.
Uncomplicate comma-separated data with one powerful sort formula.
Sorting comma-separated values from a Google Sheet into Excel can feel like translating a foreign language, especially when the formula looks like alphabet soup. That function you shared is actually a clever chain: it splits each cell's text at every comma, trims stray spaces, stacks the results, removes duplicates, and then sorts them alphabetically. It's powerful, but deciphering it without context is tough.
A Decade Inside Airbnb: Lessons from Building Its Data Foundation
Ten years after joining Airbnb in early 2016, one insider steps away with a notebook full of reflections. The timing matters: the hyper-growth years are still vivid, and so are the lessons on building a semantic layer that made data work at scale. What stands out is how deliberately Airbnb treated its unique culture, not as a perk, but as infrastructure. For anyone wrestling with data's role in their own organization, this is a candid look at what actually happens behind the scenes.