Data Analytics and Business Intelligence
Data represents a strategic asset that every company possesses today. Success in a highly competitive market depends on the ability to transform this data into consistent, reliable, and actionable information.
Datapac provides professional services in the field of data analytics and Business Intelligence. We help company management analyze the current state of data usage, build a stable analytical foundation, and systematically use data to increase performance, transparency, and management control.
Do you need to increase sales, revenue, margins, or improve the efficiency of your operations?
Work with data so it delivers real value for your decision‑making.
Datapac’s analytics solution provides clear reporting and data analysis tools based on the day‑to‑day operation of your business. The solution uses Microsoft Power BI and connects internal and external data sources into a single analytical view. As a result, you have all key information in one place and in a context that supports both strategic and operational decision‑making.
Data Warehouse: the foundation of data analytics and Business Intelligence
Operational reporting and data visualization
Advanced analytics and predictive models
AI automation built on cloud‑based and on‑premise LLM models
1. Data Warehouse: the foundation of data analytics and Business Intelligence
Companies today work with data scattered across many systems. A data warehouse centralizes data from various sources, ensures its quality, and prepares it for further analytical processing.
Data collection and integration processes
We ensure data integration and the design of integration processes that enable data collection from both internal and external sources, such as databases, ERP systems, API interfaces, system logs, and data from sensors and IoT devices. We integrate data into a unified environment so that it is available in a single context and ready for further processing.
Data design and storage
We design data warehouses as well as data lake solutions according to the specific needs of the organization. We place emphasis on scalability, availability, and long‑term sustainability of the solution, whether in a cloud or hybrid environment. The data warehouse architecture is designed to grow together with increasing data volumes and evolving requirements for analytics and Business Intelligence.
Data transformation and preparation for analytics
Raw data has value only when it is properly processed. We design and implement ETL and ELT processes that ensure data cleansing, validation, and transformation into a consistent and usable form. The resulting data is prepared for reporting, analytics, advanced BI solutions, and further data processing.
Building data infrastructure, pipelines, and workflows
We design data flows (data pipelines) and end‑to‑end workflows that ensure smooth processing of large volumes of information. We automate data processing so that data is always up to date, consistent, and available for reporting, analytics, and other systems across the entire data infrastructure.
Data governance, quality, and security
We ensure monitoring of data flows, performance optimization, and issue resolution before they impact analytical outputs. We emphasize data quality, security, and access management to ensure that data is reliable and protected in compliance with both corporate and regulatory requirements.
2. Operational reporting and data visualization
Operational reporting provides up‑to‑date and easy‑to‑understand overviews across departments without the need for manual data processing.
Automated reporting
Data is processed and updated automatically without manual intervention.
Unified reporting platform
All departments work with the same figures and a single version of the data.
Clear data visualizations
Complex data sets are presented through clear charts and dashboards.
Controlled report distribution
Each user has access only to the data required for their respective role.
3. Advanced analytics and predictive models
Advanced analytics uses algorithms and models to identify patterns, predict behavior, and optimize processes.
Customer behavior prediction
Estimation of churn likelihood or the propensity to purchase additional products
Next Best Offer and shopping basket analysis
Personalized recommendations based on real data
Dynamic pricing
Optimization of prices and margins based on customer price‑sensitivity analysis
Predictive maintenance and monitoring
Early risk detection and reduction of operational costs
4. AI automation built on cloud‑based and on‑premise LLM models
We design and implement AI agents based on large language models (LLMs) that support process automation, data handling, and system interaction. Solutions are deployed both in cloud environments and on‑premise, directly within the customer’s infrastructure, according to requirements for security, performance, and regulatory compliance.
Unlock the potential of your data.
We will help you transform data into clear and interpretable information that delivers real value for managing your business. We work with managerial, operational, and strategic overviews that support both day‑to‑day decision‑making and long‑term planning.
We ensure that you have access to understandable analytical insights—from monitoring performance and target achievement to advanced analyses and predictions—without the need to deal with technical details. Would you like to know how professional data analytics can support the management of your business? Write to us and we will be happy to present the solution to you.
Frequently Asked Questions
What is the strategic benefit of data analytics for company management?
Data analytics and Business Intelligence provide management with a unified and up‑to‑date view of organizational performance. They support fact‑based decision‑making, increase transparency, and enable timely responses to changes in financial results, customer behavior, and process efficiency.
How does Business Intelligence differ from standard reporting?
Standard reporting primarily focuses on retrospective views. Business Intelligence makes it possible to analyze relationships between data, identify trends and deviations, and systematically support decision‑making at both managerial and strategic levels.
What value does Microsoft Power BI bring to company management?
Microsoft Power BI provides management with immediate access to up‑to‑date overviews and key indicators. It supports quick orientation in data as well as deeper analytical insights without dependence on manual report preparation.
What data sources can be integrated?
We support a wide range of systems with open interfaces, including ERP, CRM, SQL databases, Excel, Google Analytics, and others. We support automated integration ranging from system APIs to direct database‑level integration mechanisms at the level of systems or data warehouses.
Is it possible to customize reports?
Yes, we will create reports exactly according to your requirements and the specific needs of your business.
What is the price of a Power BI solution?
The price depends on the scope of the project and the complexity of the integration. Contact us for an individual pricing proposal.
What types of reports and overviews does the solution provide?
The solution delivers managerial, operational, and strategic reports covering fuel sales, non‑fuel products, services, orders, and key KPIs. Overviews are available in various analytical perspectives—by time, locations, regions, and customer segments.
What types of reports are available for fuel stations?
The solution includes managerial, operational, and analytical overviews covering fuel sales, non‑fuel products, services, loyalty programs, orders, and key KPIs. Reports are available at the level of the entire network, individual fuel stations, regions, and time periods.
Is it possible to combine operational and strategic views within one solution?
Yes. Datapac solutions enable working with operational overviews for daily management as well as strategic outputs for planning and control.
How is the scope and investment of an analytical solution determined?
The scope of the solution is determined individually, based on organizational goals, data complexity, and the required level of analytics. Datapac solutions are designed as a management tool with a clearly defined benefit for control and decision‑making.
Is alcohol reporting available in compliance with legislation?
Yes. A complete alcohol report is available in accordance with legal requirements and can be easily exported and submitted to the Financial Administration.