Databox

Fastest-growing teams are already handing analysis and reporting to AI, on data they trust. Learn how to do the same in practical 30-minute sessions. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BCompanies%255D&utm_source=linkedin&utm_medium=paid&utm_id=731770343&hsa_acc=513446957&hsa_cam=731770343&hsa_grp=361909283&hsa_ad=1584571663&hsa_net=linkedin&hsa_ver=3

Spending hours double-checking every number before a report goes out? Learn to analyze and report with AI on data you can trust, in 30 minutes. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BCompanies%255D&utm_source=linkedin&utm_medium=paid&utm_id=731770343&hsa_acc=513446957&hsa_cam=731770343&hsa_grp=361909283&hsa_ad=1584659993&hsa_net=linkedin&hsa_ver=3

Spending hours double-checking every number before a report goes out? Learn to analyze and report with AI on data you can trust, in 30 minutes. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BAgency%255D&utm_source=linkedin&utm_medium=paid&utm_id=731734533&hsa_acc=513446957&hsa_cam=731734533&hsa_grp=361908443&hsa_ad=1584650053&hsa_net=linkedin&hsa_ver=3

Fastest-growing teams are already handing analysis and reporting to AI, on data they trust. Learn how to do the same in practical 30-minute sessions. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BAgency%255D&utm_source=linkedin&utm_medium=paid&utm_id=731734533&hsa_acc=513446957&hsa_cam=731734533&hsa_grp=361908443&hsa_ad=1584522183&hsa_net=linkedin&hsa_ver=3

If I were the CEO of a mid-sized company and wanted to step away from the week-to-week running of the business without losing track of anything, I'd snap my fingers and build an operating system that does three things for me: ✅ A weekly brief showing how every team is tracking against plan and why, drawing on what was said in sales calls and Slack along with the numbers. ✅ An alert the moment something drifts off course, with the likely cause already diagnosed before anyone has to escalate it. ✅ An answer to any question I have about the business, grounded in both the data and the context, without pulling anyone into a meeting. This is how I'd build it, with each step depending on the one before it: 1️⃣ Get full visibility: connect every data source across the business, from the CRM and finance system to marketing, product and support, and pull in the context behind the numbers, including documented processes, sales call and meeting transcripts, Slack and project management. 2️⃣ Make everything measurable: build a semantic layer so every metric means the same thing to everyone and can be traced back to its source, define the metrics that matter for every team, and cascade goals down the entire org so every team and person has a number that ladders up to the company's. 3️⃣ Build a prediction model: map how those metrics drive each other, so anyone on the team can see which levers move revenue and profit and test how a change would affect them before making it. 4️⃣ Run autonomously: build skills that analyze every part of the business against its goals using both the numbers and the context, and run them on a schedule so the analysis happens every week on its own, with alerts that fire the moment something drifts. Execute as many activities as possible with AI that either initiates or facilitates work for the team, or does it completely autonomously. Oh wait, I don't need to snap my fingers. Everything on this list can already be built in Databox. Seriously, though. This is the operating system we've built to run Databox for 2027. Our software does all of this, and anyone can try it, for free, I might add: https://databox.com/signup But we're also rolling up our sleeves to help up to 10 companies build it, hands-on, pulling in our own people from across the business through our custom services (databox.com/services) and specialized partners, when needed. The 1st of 10 signed on this week. If it's something you want for your company, you know how to reach me. ⬇️ ⬇️ ⬇️

AI is the most hyped technology of my 30+ year career, but I think it's significantly under-hyped when it comes to how drastically it'll transform the way businesses run. Most companies are still just using AI as an assistant that helps them write messages, summarize meetings, build a chart, etc. The bigger impact comes when AI starts making business decisions. I have gotten a lot of pushback when i've said this before, and it usually sounds like "judgment should remain with humans." But AI is faster and its memory is greater than the sum of an entire team's. And with the right system, AI can make even complex decisions, while humans focus on the ones that need them (and system design.) I'm seeing this happen in startups & smaller tech firms now. A startup building on AI from day one doesn't carry the baggage of how things have always been done. But, in nearly every market, I think someone will eventually get to 10x the output at 1/2 the headcount, if they haven't already. Therefore, every company is going to need to think this way in order to compete against new entrants in their space. Getting there takes two things: 1️⃣ Process. Companies need processes people actually follow, documentation that explains them, software that facilitates (or runs) them. Processes make a business measurable. 2️⃣ Full history. A record of everything that happens, from sales calls to meeting transcripts, to competitive research, to project plans to marketing, sales, operational, financial, etc data. This makes a business visible to AI and the team. With these two things in place, agentic analytics can do analysis and make (or suggest) better decisions, faster and far more frequently than humans. With agentic analytics, companies can be more agile, making decisions that used to take a quarter or a year within a week or a month. To help companies get here, I've developed an assessment. I've run it a few times now. Here's what I've seen so far: Nearly every company starts out fragmented, with numbers spread across systems that define them differently and someone assembling (or inspecting) them by hand every time. From there, the curve to an autonomous business has 4 stages: 1️⃣ Aggregated (visibility): All performance data & business context pulled into one place. 2️⃣ Governed (measurability): One source of truth, agreed definitions, and a target for every function. 3️⃣ Predictable (foresight): The business knows which activities produced which results, and can model what a change would do. 4️⃣ Autonomous (autonomy): Systems analyze and suggest work or act on their own. If you're curious where you stand, the assessment is free. It takes an hour, and you leave with a written report built at the end of the call. If you are one of the first few that respond to this, I'll be running the assessment. https://lnkd.in/guuB5uuk