BI system development
Bring CRM, ERP, accounting and external data into clear dashboards. Give decision makers consistent business metrics and reduce manual reporting work.
No specification yet? Start with your idea and the problem to solve.
01 / CAPABILITIES
What we can build
Unified data store
Collect data through APIs and exports, clean duplicates and create reporting models.
Role-based dashboards
Revenue, funnels, costs and operational metrics with filters and drill-down views.
Reliable reporting
Access controls, source reconciliation, pipeline monitoring and failure alerts.
02 / DELIVERABLES
What your team receives
Start with the decisions your data should support. Agree on metric definitions, sources and refresh rules before building dashboards.
-
Source inventory
Document systems, data owners and available integration methods.
-
Metric model
Agree on metric definitions and the warehouse structure.
-
Dashboards and pipelines
Build reports and scheduled data refreshes.
-
Team handover
Validate calculations, document operation and train users.
03 / OUR EXPERIENCE
Projects by our team
View all case studiesThese projects demonstrate dashboards, data handling and integrations: individual parts of business systems. See each case study for its actual scope.
StatePix
Platform for Buying and Selling Real Estate via NFTs
Alo Finance
Investor Dashboard
Foodys.one
Google Places restaurant aggregator
Brunotoken Web
Cryptocurrency Platform for Investors
Brunotoken Mobile
Mobile App for Investors
04 / ENGINEERING
What we consider before development
Source data quality
Resolve missing values, duplicates and inconsistent reference data before reporting.
Refresh frequency
Decide which metrics need near-live updates and which can run on a schedule.
Data permissions
Restrict visibility by department and user role.
Technologies and integrations
Technologies
05 / COST AND TIMELINE
An estimate tailored to your project
We agree on the first release and acceptance criteria, then estimate development, integrations and testing by stage.
First release
Number of sources, reporting models, metrics and user roles.
Logic and integrations
API availability, export quality and required data cleansing.
Testing and launch
Calculation reconciliation, refresh frequency and user training.
06 / PROCESS
From discussion to a working product
-
Understand the scope
Review the product, users and constraints. Agree on priorities.
-
Design the solution
Define workflows, architecture and acceptance criteria.
-
Build and validate
Share progress and test features and integrations.
-
Release and hand over
Prepare the release, deliver source code and agree on further support.
What our clients say
All reviewsIn the end, we received a complete, working product. The team is responsible, stays in touch and is committed to the outcome. I can recommend them for complex development projects.
Product development
Review excerpt
The team immersed themselves in the project and proposed a clear architecture and a phased work plan. All the key MVP features were implemented with security and scalability requirements in mind.
Crypto wallet · Web & Mobile
Review excerpt
07 / GOOD TO KNOW
Questions and answers
Which data sources can be connected to a BI system?
CRM and ERP, accounting systems, databases, ad platforms, web analytics, Excel files and any service with an API. We schedule regular loads so the dashboards always show up-to-date numbers.
Which BI tools do you use?
We work with Power BI, Apache Superset, Metabase and custom dashboards. We choose the reporting tool, database and data pipelines around your sources, reporting needs and existing infrastructure.
What does turnkey BI system development include?
A source audit, warehouse design, data collection and processing pipelines, role-based dashboards for executives, analysts and managers, plus team training. The outcome is metrics you can actually trust.
How do you ensure data quality in reports?
We validate incoming data, reconcile it against source systems, check for missing or duplicate records, and flag anomalies. These checks help the team investigate discrepancies before relying on the reports.
How long does BI implementation take?
The timeline depends on the number of data sources, the quality of existing data and the reports you need. We define the first dashboards and data pipelines, then estimate discovery, development, validation and team training.
Will employees be able to use the dashboards without an analyst?
Yes, that is the goal: clear metrics, filters and click-through drill-downs. We train the team, and complex ad-hoc queries can stay with us under support.
Discuss your project
Let’s start with your project
Tell us what you want to build or improve. We will discuss the first release, dependencies and next steps.