Eight ways to open the conversation, picked from what we already know about each company. All of them below, in order.
Doctor Anywhere runs its data on BigQuery. Good warehouse, but a warehouse is built to store data, not to answer questions on its own.
Our guess: when someone on the business side needs a new report or a fresh cut of the data, it still goes through IT, sits in a queue, and comes back days later.
Xlytix sits on top of BigQuery and closes that gap. Sync pulls the sources together, Model builds the shared logic once, and the business team gets dashboards and plain-English queries they can run themselves. Deployed inside your own cloud, live in under two weeks, nothing moved or migrated.
Before reaching out, we built a working version of this on BigQuery. Simulated data, a real interface, not a slide deck.
Worth 20 minutes to see if it matches how Doctor Anywhere actually works?
Doctor Anywhere just added a new business line: home-based care, through the partnership with Lumens Group's mobility arm, Lylo. That's not a small addition. It's a new kind of data, mobility and dispatch, sitting next to the clinical data that already exists.
Our guess: BigQuery holds all of it by now, but nothing upstream is unifying the two yet. The home-care side probably still lives in its own reporting silo.
Xlytix would pull both together, build the shared logic once, and give the business side one set of dashboards instead of two. Runs on BigQuery itself, inside your own cloud, live in under two weeks.
Before reaching out, we built a working version of this on BigQuery. Not a similar warehouse, the actual one Doctor Anywhere runs.
Worth a look now that home care is live?
SAP BW has a shelf life. Most companies still running it are already deciding what replaces it, not whether to replace it.
Our guess: The Berner Group is somewhere in that decision right now, comparing destinations, timelines, and how much of the old reporting has to be rebuilt from scratch.
Here's the part that usually gets missed: the destination and the layer people actually use don't have to be two separate projects. Xlytix migrates the data, builds the shared models, and hands the team dashboards and plain-English queries in the same move. One project, not two, running inside your own cloud, live in under two weeks once the data's in.
Before reaching out, we put together what that looks like end to end, not just the pitch.
Worth seeing the layer before the migration plan locks in?
Wise just posted FY26 results: revenue up 19%, cross-border volume up 31%, live now in Brazil and Japan, with Wise Platform aiming to grow from 5% of volume today toward 50% over time.
Our guess: dbt was built to fit last year's Wise. It probably wasn't built to be rebuilt every time a new country goes live.
Xlytix sits alongside dbt rather than replacing it. It absorbs the repetitive part of standing up a new market's data, and the business team gets dashboards and plain-English queries without waiting on a rebuild each time. Deployed inside your own cloud, live in under two weeks per market.
Before reaching out, we put together a working version of the layer on top of a stack like yours.
Worth seeing it, given what's ahead in FY27?
Town of Gilbert already pays for Matillion, which means somebody already made the case internally that the warehouse needed automation. That case was right.
Our guess: the pipelines run fine. What's missing is the layer after the pipeline, the part where a department head asks a question and gets an answer without filing a ticket.
Xlytix picks up where Matillion leaves off. Same warehouse, no new platform to stand up, just the models and the self-service layer the pipeline was always building toward. Deployed in your own environment, live in under two weeks.
Before reaching out, we built the version of this that teams like yours usually end up assembling themselves, piece by piece, over a year. Ours already exists.
Worth 20 minutes to compare?
84 Lumber already pays for WhereScape to automate the warehouse, which means the case for automation is already made internally. Nobody has to be convinced of that part again.
Fair question worth asking honestly: is WhereScape actually saving the team time today, or has it become one more tool somebody has to maintain?
Xlytix automates the same warehouse work and adds what WhereScape doesn't: dashboards and plain-English queries for the business team, not just pipelines for engineering. Same warehouse, deployed in your own cloud, live in under two weeks.
Worth a side-by-side comparison?
Saw OCBC hiring for a data and analytics role tied to Azure Synapse and dbt. That's usually a sign the current team is stretched thin, not that the work is slowing down.
A new hire takes months to ramp on a stack like that. The backlog doesn't wait for them to get there.
Xlytix sits on top of Synapse and works alongside dbt rather than replacing it, giving the business team dashboards and plain-English queries without waiting on engineering headcount. Runs in your own cloud, live in under two weeks.
Worth a look while that seat is still open?
Acko runs BigQuery. That's usually a good sign, it means the team already chose a modern warehouse over the legacy alternatives.
The question worth asking: is anyone outside the data team actually using it directly, or does every question still route through an engineer?
Xlytix sits on top of BigQuery and turns it into a layer the business side can use on its own, dashboards and plain-English queries, live in your own cloud in under two weeks.
We put together a free look at what running BigQuery without that layer is likely costing the team in engineering time alone. Want it?