


From raw data to clear visuals
We create analytical environments tailored to your needs. We help you to retrievie, clean and load data into a robust model that makes visualisation easy.
Saving your employees time
We automate all data related activities allowing your team to focus on asking the right questions.
Best in class technologies
We work with best in class technologies for Data Warehousing and Analytics. Whether it is Azure Fabric, DataBricks, Power BI or Strategy One, we got you covered!


Our Mission
Solving real problems Delivering real results
We don’t just implement BI solutions—we ensure they deliver measurable results. Our mission is to bridge the gap between data and decision-making, providing clarity, efficiency, and business growth.
We deeply care to provide a real value and the only way to achieve that is to get to know your business and its challenges. Please don’t hesitate to reach out and see what the best approach is!
Services
Services tailored to your needs
Our end-to-end BI solutions cover everything from strategy to implementation. Whether you’re new to data analytics or looking to optimize an existing setup, we help you turn data into your company’s greatest asset.

End-to-end Data Platform Delivery
We take responsibility for the entire process, from initial analysis to implementation, ensuring seamless integration into your daily operations.

Team Augmentation

Support Services

Consulting
Technologies








Strategy One
Elevate your Business Intelligence
Strategy One stands as the premier independent reporting and analytics platform, securing the top position in Gartner’s report. You gain access to the market’s best tools, precisely tailored to your company’s needs.


Leader in the realm of AI
Strategy One provides an entire suite of AI products, with access to full GenAI customization to create cutting-edge applications. This is amplified by Strategy One Cloud and microservices for rapid deployment at scale. Enable users to discover insights with conversational AI, get creative with AI-powered dashboard design, or code on your own terms.
Case Studies
Case studies
Cloud Cost Driven Architecture
Transitioning from on-premise to cloud computing, businesses encounter hidden complexities and performance impacts, unmentioned by vendors. This shift requires a nuanced understanding of cloud services for optimal architecture, balancing cost and performance in a landscape where physical hardware still plays a crucial role.
Event based ETL framework for ADF and Snowflake
Facing the need to modernize its data processing, an investment fund shifted from SSIS to Snowflake for its cloud scalability, integrating diverse data sources into a new reporting system. Automating data loading with Azure Event Hub increased efficiency, reduced costs, and enhanced system flexibility, showcasing the benefits of technology transformation in finance.
FAQ
Frequently Asked Questions
How can Business Intelligence help my company?
Business Intelligence (BI) consolidates data from various parts of your company, such as sales, customer service, and inventory, which is often difficult to access and analyze because it’s spread across multiple systems or even sits in Excel spreadsheets on people’s laptops. By organizing this data in one place, BI provides a unified view, eliminating the confusion caused by having multiple versions of the truth. This comprehensive insight enables you to make informed decisions quickly, improving efficiency, reducing costs, and enhancing competitiveness. BI tools are designed to grow with your business, ensuring that as your data needs become more complex, your ability to analyze and act on this data keeps pace.
How can I implement Business Intelligence in a small business at a low cost?
Smaller companies often do not need a full-sized BI solution, data warehouses and all the heavy-weight and pricey tools to implement a data-driven approach. These are required with larger volumes of data and more source systems.
The most important element is to record all the data in an organised form or have systems that are used for the day-to-day operations of the company, where we can get the data from. If you have that, then you can move your data into a storage of some kind, even an Excel spreadsheet can do the trick, a database, or a cloud data lake would be even better. After that, you may start your analysis, again, in Excel, in SQL or using a free BI tool such as Power BI Desktop or Strategy One Desktop.
Getting the data to be derived and updated automatically is one of the challenges for small companies, as it requires more technical knowledge. This is the aspect that BRSolutions may help with.
When is the Data Warehouse required as part of your BI platform?
Many companies operate their analytics without a data warehouse, and this is a perfectly acceptable solution for many. Issues arise when you have multiple sources in your report, and the sizes of the data files grow exponentially; the refresh time becomes a problem, and users of source systems experience timeouts while you are running your query (to the point that refreshing your report is not permitted during certain hours of the day). Another issue is that if there is a change in the source data, it is often not highlighted; the new value simply appears, and there is no history tracking.
If these issues occur, it’s time to consider creating centralised storage for the company’s historical data that would be regarded as a “single version of the truth” for both strategic decision-makers and operational workers. It can handle heavy queries without impacting any of the transactional systems (imagine an e-commerce website going down because a manager runs two 2-year sales summaries that lock the system for 30 minutes).
Another benefit of the data warehouse is that it integrates data from multiple systems and applies links to common dimensions – customer, product, account, etc. Information is unified and merged to provide a comprehensive 360-degree view of the company.
Additionally, there is no need to link and prepare data in the BI tool; a well-established model is ready for reporting, and it is much more difficult to make an error.
Is Business Intelligence industry specific?
Our solutions can be adapted to many industries. We have served clients from the telecommunications, financial, healthcare, retail sectors, and many others. Our expertise in data management is applicable across various fields.
What support services do you provide?
Managed Services
We can take on the full responsibility for managing your platform which includes monitoring and maintenance of all aspects of the system to ensure it’s operable 24/7.
We also monitor and troubleshoot data transfers into your system and ensure the right timing and performance of all the reporting activities.
In case of any system/cloud issues, our team communicates with vendors and resolves all incidents on your behalf.
Lastly, we provide support for the business users of the reports, troubleshooting their individual issues and performing root cause analysis if there is a doubt about the quality of the data.
On-Call Support
We provide hour-banks of services which allow clients to request help on demand. We can arrange an SLA agreement with the required response and resolutions times.
What is a self-service BI?
You don’t have to rely on the skilled data analysts to create reports for you!
Our goal is to provide our clients with the tools that make creating new reports super-easy. We develop a data model that presents data from your business as dimensions and metrics split into categories. Simply moving them to the report canvas would initiate the generation of the report.
You can choose whether to view the report as a table or one of many types of charts and diagrams. Then you can add a date-time dimension for time-based analysis and various filters to make the report more detailed.
Our team will assist you if you need us to create more complex reports for you or if you need any help with creating your own.
Can I migrate my existing system into the cloud?
Yes, we offer services for migrating systems to the cloud. We assist in data and application migration to the cloud, ensuring scalability and flexibility.
How does the BI platform ensure data security?
Data security is our absolute priority. We employ advanced security solutions, such as data encryption, authorization, and security monitoring. We adhere to industry standards for data protection.
How do you bill your customers?
We accomodate the specific needs of the client. Our billing can include fixed fees, hourly rates, or project-based models. It all depends on the scope and nature of the services.
What are the most popular Business Intelligence technologies?
Business Intelligence is a very broad term and implementing a BI Platform may require us to deploy multiple systems.
Data Visualisation
The most obvious category of BI tools are applications responsible for turning source data into reports, visualisations, diagrams and dashboards. They also include ability to filter, drill down and explore data. Many contain AI chat abilities that allow to explore data by asking natural language questions.
The most popular tools in this category are Power BI, Strategy One, QlikView and Tableau.
Data Warehouse
Reporting needs to get data from a reliable source. Connecting reporting tools directly to transactional systems often leads to performance problems and other issues. This is why with growing volume of data we recommend building a Data Warehouse which contains all historical data from various sources in the company.
We can distinguish more “traditional” data warehouses built as a Star Schema data model and deployed in the high performance database platform. Another version is a file based distributed cloud approach based on big data solutions based on data lake type of storage and a separate compute platform.
Typical traditional Data Warehousing platforms are based on SQL Server, Oracle, Teradata databases. Modern examples are Azure Synapse Analytics, Databricks, Snowflake, Google BigQuery, Amazon Redshift.
Data Integration Tools
Also known as ETL (Extract Transform Load) tools, they are responsible for moving data from the source to destination, cleansing it, enriching, removing duplicates and detecting errorneous records. They are responsible for feeding your data warehouse with data from various sources, orchestrating loads keeping the data warehouse up to date.
ETL can be implemented as a set of SQL scripts in database stored procedures, or created in a separate visual tool. The most popular are Azure Data Factory (ADF), Informatica Power Center, SSIS, Talend, Oracle Data Integrator.
Unified Platforms
Recently we have seen the rise of the platforms that integrate multiple tools into one, specifically Microsoft Fabric. It contains Power BI as reporting, includes ADF and Data Lake which covers the full spectrum of BI needs. It also provides machine learning and data science tools that let us fully explore the data we gathered.
