Power BI for 1C/BAS: dashboards built on real data instead of manual Excel reports
We set up the data exchange between 1C/BAS and Power BI (or alternative tools – Google Looker, Excel) – from data extraction and cleaning to a finished analytical model and dashboards that are convenient to use every day.
What usually goes wrong with reporting without a BI solution
Data in 1C or BAS builds up for years, but turning it into a clear picture for management or a business owner is a separate task. Some teams manually export reports to Excel and put together a summary every week, others keep a pile of separate standard reports that each show part of the picture, but never the whole thing at once, and never over time.
The problem isn’t the data itself – it’s there. The problem is that manual work usually stands between “the data sits in the database” and “management sees a clear dashboard”, and that work has to be repeated every time.
Implementing Power BI (or another BI solution) closes exactly this gap: data is extracted, cleaned, and transformed once through a configured process, and from there the dashboard updates automatically.
What's included in the work
Reviewing current data and infrastructure
Before starting, we look at what data exists in 1C/BAS, in what form, and what infrastructure is already in place for deploying an analytics solution.
Clarifying report requirements
We put together a specific list of reports, metrics, and breakdowns the business actually needs - not a universal dashboard with everything thrown in.
Data extraction, transformation, and cleaning
We set up the process for extracting data from 1C/BAS, and transforming and cleaning it for reporting purposes.
Analytical database and semantic model
We deploy the analytical database and the semantic model that reports are built on - this is the foundation that keeps dashboards fast even with large data volumes.
Report and dashboard development
We build reports in the cloud (Power BI, Google Looker) or in Excel, depending on the implementation option chosen.
Publishing, access, and users
We publish the report, set up access control, and onboard users - including Active Directory migration if needed.
Which option fits you
There’s no single “correct” solution – the choice depends on your license budget, existing infrastructure, and who will maintain the reports going forward.
| Option | Development complexity | Maintenance complexity | License cost | Own infrastructure |
|---|---|---|---|---|
| Power BI Service | Moderate | Moderate | High | Barely needed |
| Google Looker | High | High | Low | Barely needed |
| Excel + analyst support | Medium | Moderate | Almost none | A server is needed (current or dedicated) |
| Excel + analyst + Power BI (hybrid) | Medium | Moderate | Depends on the number of Power BI licenses | A server is needed, can be virtual |
In short: Power BI Service is the best balance for most companies, if the license budget isn’t a constraint.
Google Looker minimizes license costs but is more complex to build and maintain. Excel with analyst support avoids cloud license costs but requires your own infrastructure and ongoing analyst involvement. A hybrid option lets you combine some reports in Power BI with the rest in Excel, spreading the budget flexibly.
We work out the final option together with you after analyzing your current infrastructure and report requirements.
What our approach to implementation is built on
We already work with 1C/BAS data in other areas (CRM, marketplace, and delivery service integrations), so we understand the structure and quirks of the accounting data the analytical model will need to work with.
Before building dashboards, we always clarify the actual list of metrics needed, rather than offering a generic "set of charts" - nobody looks at reports they don't need.
The analytical model is built to hold up as data volume grows, not just to handle the current number of records.
Questions about implementing Power BI for 1C/BAS
Tell us about your 1C/BAS setup and which reports or metrics you want to see first – we’ll suggest an implementation option for your infrastructure.
Power BI for 1C/BAS: how to build reporting on real data
Data in 1C or BAS keeps accumulating, but turning it into a clear dashboard for management or a business owner is a separate task that’s often handled manually: someone exports reports to Excel every week, someone keeps a set of standard reports that only show part of the picture. Implementing Power BI for 1C closes this gap – data is extracted, cleaned, and transformed once through a configured process, and the dashboard updates automatically from there.
What’s included in a 1C to Power BI integration
A full implementation cycle covers reviewing current data and infrastructure, clarifying report requirements, building the data extraction and transformation process, deploying the analytical database and semantic model, and publishing finished reports with access control for users. This isn’t a one-time connection, but building a process that keeps working after implementation is done.
Not just Power BI: alternative BI reporting options
Exchanging data between 1C/BAS and an analytics tool doesn’t necessarily mean Power BI specifically. Depending on your license budget and existing infrastructure, we can offer Google Looker, Excel reports with analyst support, or a hybrid option that combines some reports in the cloud with the rest in Excel. Each option has its own balance between license cost, development complexity, and the need for your own infrastructure.
An analytical model that holds up as data grows
The foundation of a good BI solution isn’t the report itself, but the analytical database and semantic model behind it. When the model is built correctly, dashboards stay fast even as data volume in 1C/BAS grows, and adding new reports doesn’t require rebuilding the whole system from scratch.
If you want to figure out which BI reporting option fits your company, describe your current situation in the inquiry on this page – we’ll review your infrastructure and suggest the best option.