Zap ads

Copilots and chatbots promise to be oracles, but too often it's "Sorry, I can't do that, Dave" or worse, "Sure Dave, here's a number for you. Just don't bank on it." Why the let-down? It's all about context. Imagine you're a lawyer and you call a witness. You need a simple yes or no: was the light red? If you constrain them, "Tell me, was the light red when you were at the intersection at 9am?", you get: "Yes." But if you say, "tell me everything you know"... you may get: "Well, funny you should ask. Back in 1998, that road was dirt. Wasn't even an intersection, it was a roundabout. And actually, it was December. Christmas lights everywhere. Red, green, all over the street. So yeah, now I think about it... maybe that light was green." 𝗧𝗵𝗮𝘁'𝘀 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗽𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴. By letting the witness go off the rails, they've poisoned their own thoughts with the keyword "Christmas." 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗽𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗮𝘀 𝗿𝗲𝗮𝗹 𝗶𝗻 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀. Too much context, or errant context, and you get delusional numbers. Too little, and you're not letting AI fully understand your business. So how does Zap solve it? Layers. In the immortal words of Shrek: "onions have layers." Shrek had layers. And Zap has layers too. The 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝗹𝗮𝘆𝗲𝗿 gives you full business context. Breadth across ERP modules and business systems: leads, customers, services, projects, the full picture. The 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗹𝗮𝘆𝗲𝗿 defines your business logic: the metrics that matter, how entities relate, how you drill down and optimize for performance. It constrains AI to those governed rules and facts. That's the Goldilocks zone. Let Zap get you there.

We’re bringing our community together to share where Zap is heading next - how we’re helping customers and partners get AI-ready with trusted, governed data that drives faster reporting, smarter analytics, and confident decisions. Join Christopher Reeves, CEO of Zap, for a live session as he shares our vision for 2026 and what’s next for trusted data and AI readiness. 📅 November 26 🌍 EMEA: 12 Noon SAST / 10 AM GMT — https://lnkd.in/gmezzJuM 🌎 Americas: 3:30 PM EST / 12:30 PM PST — https://lnkd.in/gWkjBsn2 #Trusteddata #Zap #AIReadiness #Analytics

Most teams think they’ve modernized because they use Power BI, but governance - not visuals - defines maturity. Microsoft Fabric promises one connected data foundation, yet few have truly tamed the beast. Cost, complexity, and time-to-value still stand between vision and delivery. Join Zap CEO Christopher Reeves for a 45-minute session on what Power BI and Microsoft Fabric really mean for ERP leaders - and why trusted analytics starts with governed data, not another dashboard. 📅 Thursday, October 23 🌍 Europe + USA Friendly Time Zones Register -> https://lnkd.in/ghqw-ugB #Iloveitwhenyoutalkdatatome #zap #zapdataanalytics #powerbi #fabric #analytics

Turn your ERP into an early-warning system for inventory risk. Stockouts cut revenue. Overstock ties up cash and, in the case of perishables, creates waste. On 9 October, join Zap’s Rohit Kanwara and David Ramírez to see how daily inventory intelligence helps you: ✅ Surface aging stock, fast movers, and at-risk SKUs ✅ Map inventory to incoming orders and supplier delays ✅ Balance stock levels to prevent both shortages and overstock 📅 9 October 2025 | 4:30 PM BST | 11:30 AM EDT 👉 Register here: https://lnkd.in/gKieSbNp

Zap’s Excel add-in and automated data warehouse deliver sales, inventory, financials, and operations data from SYSPRO. Close month-end 50% faster, customize pre-built dashboards in Power BI, and create reports in Excel - without the limits of standard reporting. Spin up a governed data warehouse in hours, consolidate data across modules and legal entities, and drill to transaction detail. Trust every number.

Zap’s Excel add-in and automated data warehouse deliver sales, inventory, financials, and operations data from Dynamics 365 BC. Close month-end 50% faster, customize pre-built dashboards in Power BI, and create reports in Excel - without the limits of standard reporting. Spin up a governed data warehouse in hours, consolidate data across modules and legal entities, and drill to transaction detail. Trust every number.