Data platform engineering and analytics solutions
We do everything from strategic advice to building AI into your solution. Not sure where to start?
Explore the services under each area
Each service holds concrete deliverables. Take one, or combine them.
We design your platform solution around your strategy
We find out what you need.
- Discovery: goals, needs and what your systems actually contain
- Guidance: we recommend what pays off first
- Project plan and management: we own the timeline and decisions across suppliers
- Training and advice: support when you need it, with no lock-in
We turn organised data into insight and action
We draw the conclusions, not just the dashboards.
- Power BI dashboards: few and simple, built to monitor the business
- Automated reports: write themselves, so the insight is ready and waiting
- Ad hoc analysis: answers to the questions that come up along the way
- Guidance on the numbers: we draw the conclusions and advise you on the next step
We turn your raw data into one reliable view, with no silos
We do the data engineering. Your data is collected, cleaned and standardised automatically, and it all sits in one place.
- Data platform: built in your own environment, you own all of it
- Source integration: SAP, POS, Nielsen and CRM connected, and left untouched
- Data models: your business language, translated into numbers everyone agrees on
- Automation and quality control: fresh numbers you can trust, every morning
We build AI straight into your solution
Forecasts, monitoring and answers on demand.
- Conversational BI: just ask, and get the answer straight away
- Demand Forecasting: built on your own sales history
- Agentic Monitoring: catches errors and fixes them before you see them
- AI Readiness: we check what your data can carry, and train your people on it

»Meiseki has been the technical partner who could turn my vision into reality.«Read the case
See our services in an anonymised case
Six systems, three names for one product, no shared number, and every answer needed an analyst. See what we did about it.
We gathered scattered data in one place
The numbers sat in six systems that didn't talk to each other. We began by verifying what those systems actually contained, rather than relying on the documentation. Then we connected them, without touching the source systems.
We know it looks quick and simple, but don't be fooled. In reality it's a long process with a lot of decisions along the way.
Do you know your data's potential?
Probably not. Most people we meet don't. Let us show you what's possible.
