Data & AI maturity · Managed Data Platform

Optional Used on your result

What's your company name?

Skip if you prefer. It only personalizes the share card and chart label.

Question 1 of 5 Where the numbers actually sit

Where does your company's core operational and performance data live?

Scattered everywhere SaaS apps, personal spreadsheets, and CSV files on laptops. One warehouse Central store with daily reports and agreed metric definitions. Back in daily tools Warehouse data pushed into CRM, helpdesk, and marketing in near real time. Structured + unstructured Warehouse plus tickets, call transcripts, and SOPs wired together. Living knowledge layer Keeps feeding context into AI systems that act on it.

Question 2 of 5 How leadership treats the numbers

What happens in exec meetings when someone questions a core metric (CAC, churn, ARR)?

Number fights Every team brings a different figure and people argue which is right. Trusted, but backward-looking Everyone agrees on the number; the meeting is mostly about why last month happened. Managers self-serve Leaders pull live reports themselves without waiting on a data ticket. Ask an internal AI Trends come from reports, customer feedback, and market signals in one pass. Already in motion Many operational decisions ran before the meeting started.

Question 3 of 5 What happens on the ground

How do front-line teams (sales, support, marketing, ops) use data day to day?

Gut feel + exports A custom cut still takes days or weeks. Check dashboards They see what happened, then invent the next move themselves. Alerts in their tools Signals show up in CRM and similar apps for accounts that need attention now. AI helpers Draft emails, summarize accounts, and find the right docs fast. Supervise automation They steer AI workflows that already handle the multi-step busywork.

Question 4 of 5 Honest snapshot, not the roadmap slide

How is your company using AI today?

Personal ChatGPT use People use public tools on their own. Company data stays out of it. Basic predictive reports Forecasts or churn scores exist, but chatbots still don't know your business. Data is ready, AI isn't shipped Logs are clean and locked down, but custom AI isn't in real workflows yet. Internal assistants live Docs search and account summaries use your own knowledge. Homegrown agents Multi-step work runs on its own. Humans check the hard cases.

Question 5 of 5 Pick the friction you feel most

What's the biggest thing slowing growth right now?

Conflicting data Decisions slow down because nobody trusts the numbers. Passive insights You can see what happened, but nothing tells teams what to do next. Human bandwidth Too much time collecting, reading, and acting on data by hand. Manual follow-through AI helps with thinking, but someone still clicks every step. AI governance Boundaries, edge cases, and keeping models from drifting.