Business Intelligence (BI) is an IT solution which helps organizations in decision-making process. By implementing BI we can increase control over business processes, increase marketing effectiveness, reduce inventory and product distribution costs. Beneficiaries of systems are organizations from various sectors of economy, including: finance, transport, commerce, health.
Within Business Intelligence we create a set of tools for analysts, managers and business executives. Organizing and integrating data enables to better discover trends and dependencies that occur in customer behavior, business processes, etc. Business Intelligence systems built by our team support your business in these operations as well as provide the opportunity to visualize and report data in an easy and fun way.
Integration of data from different IT systems
Integration of databases of individual departments of the company
Reporting and analysis
Preparation of recurring reports available on time and anywhere
Analysis of customer behavior based on data
Providing the highest quality of data in the system
Processing and analyzing huge and diverse data sets to gain new knowledge
Data Science service
Gaining business advantage with data
We integrate data from multiple sources, IT systems, and data migrations. We use the best ETL tools from Informatica, Microsoft or SAS and the knowledge of our analysts.
Nowadays data is captured and stored in different systems and formats, even within a single department. Therefore, one of the basic and first steps in building a knowledge-based organization is the process of data integration. Merging of data form and content allows for central data warehouses to be pooled, thus building consistent reports and analyzes.
We create data warehouses that store large amounts of data from different systems and sources in the organization. Our developers and architects use primarily Microsoft and Oracle tools.
Data warehouses are complex IT systems introduced in organizations to integrate data into coherent business areas and thus provide greater analytical capabilities. With aggregated data from various business areas of the company, it is possible to perform cross-sectional analyzes. By implementing enterprise data warehouses, data mining is possible from general trends to specific issues.
We offer the preparation of dedicated cyclical reports and analyzes in various systems and sections. Reports and analyses are available at any time and place. We also provide tools for self-prepared reports by business users. We offer our clients solutions of SAS, Microsoft and Tableau.
Thanks to us the company is able to control sales, analyze the costs or effectiveness of marketing campaigns, and on the basis of this knowledge plan optimally their further actions. Information is presented in various categories and is available to individual branches of the organization.
By running marketing campaigns, entrepreneurs try to reach more and more channels with their customers. The choice of the optimum method and the message to be transmitted is crucial. By effectively using CRM systems and tools, it is possible to identify the target group of marketing activities. The efficient management of marketing campaigns not only increases their effectiveness, but also reduces the cost of operations.
By implementing and developing tools for data-driven marketing automation, we use SAS software.
We provide our clients the complete data cleaning process, ie data quality assessment, parsing, standardization and deduplication, preparation of ready data sets and automation of the whole process.
Companies face the challenge of storing and processing ever-increasing information about their customers and the efficiency of their operations. Even their best analysis or report will not provide the right knowledge if the input quality is not high. Ensure completeness, timeliness, reliability and consistency and carry out cleaning. As a result of this process, our customers save time with re-use of data, get correct business interpreting, and reduce the cost of marketing campaigns.
In the age of influx of increasing information, their analysis and understanding becomes increasingly difficult. The methods for analyzing these large, variable, and diverse data sets come to the rescue. Using a wide range of statistical and exploratory methods, it is possible to perform predictive and scenario analyzes. By gaining knowledge from the Big Data collections, it is possible to better understand the preferences of the company’s customers and to offer them the appropriate offer. For our clients we offer, among others, the preparation of analytical and statistical models.
The amount of data created and stored all over the world is increasing every day. It is important to be able to acquire knowledge from this data, in order to develop your business. We support our clients at every stage of their analytical work. We implement various Data Science projects, including Machine Learning models, from establishing business needs to production implementations. We consult on exploratory and predictive data analysis. We help prepare data architecture, and support business users in implementing Machine Learning into their operations.
As a result of using SAS Customer Intelligence in Skoda, the customer has the opportunity to implement a marketing plan according to the company’s assumptions. It became possible to select any, very precisely defined target group of Skoda clients and contact them with every communication channel eg SMS, e-mail. Thanks to this solution, employees can report and analyze the results of their marketing campaigns.
The implementation of the report and analytical tools at Volkswagen Group Poland has enabled immediate, accurate answers to business questions. With SAS VA it is easier to prepare reports and analyze data. The results are more accurate than those obtained with other commonly used tools. Through interactive reports, predictive algorithms, and data presentation on the map, the customer discovers new opportunities for analysis and business development and opens up paths that previously seemed inaccessible.
With the implementation of BI based on Microsoft SQL Server, employees will have very fast access to data from many different sources gathered in one place. Managers will be able to quickly make key decisions based on a prepared reporting system and improved data quality.
Our ETL development team is in charge of implementing new data migration processes and maintaining and developing existing ones. Such actions result in the client having access to his data from many different systems using, for example, Oracle databases. What is also important – these data are of high quality, thanks to the use of processes efficiently designed by our specialists in the Informatica PowerCenter.
The IGT collaboration model is based on specialists outsourcing. We support the company in creating and modifying existing reports in Jasper Reports. Britenet/s specialists not only design dashboards but also maintain and manage updates in the reporting system. Thanks to us, IGT employees can build on their current data and tailor-made reports.
Thanks to the efforts of our specialists at First Data Polska, business analysts have obtained efficient, optimal and error-free software. As a result of the development and optimization of their Oracle credit card database, they are now able to meet their business objectives and acquire new customers efficiently and unhindered.
The 360-degree view of the client has its roots in the application of our Data Quality algorithms and the creation of the Central Customer Database (CBK). We provided a tailored solution to our customer, that allowed him to possess high quality data, manage authorizations between the companies and, most importantly, Data Warehouse constitutes a base of data integration with such systems as CRM and Campaign Manager.
Thanks to this solution, business users received one place where the crucial data about the clients is stored.
The main objective of the project was to provide a prediction model to a mobile application for people affected by bipolar disorder. One of many problems that the afflicted struggle with is predicting the moment when their state is going to change. Thanks to the machine learning method, it is possible to predict if the changes are going to occur the next day or not.
The goal of the project is to prepare a new Data Warehouse with optimal uploading processes and a structure enabling efficient reporting of the recruitment process and retention of students – a key issue for TEB Akademia. The project was divided into stages to provide step-by-step solutions with a view to optimising specific data areas. The scope of our services includes, among others, gradual data integration, development works, and reporting support. The prepared solution may be the basis for building machine learning models which the client wants to use to improve their business operations.
Due to the rapid development of Pekao Bank Hipoteczny, a need arose to build a data warehouse for reporting purposes, including data from all sources of the Bank. The mechanisms which have been prepared by Britenet based on Oracle technology allow efficient and intuitive reporting in the Power BI tool, the implementation of which is supported by Britenet.
Our team consists of 50 experienced Business Intelligence professionals from a company of more than 700 employees. Our extensive knowledge of technology and data management skills can be credited with both customer satisfaction and authorized SAS, Microsoft, or Oracle certifications.
In our work we focus on the business needs of our clients and the quality of our services. We are committed to provide the most comprehensive solutions. Our team includes people with different profiles: programmers, data analysts, testers, architects, project managers and data scientist. With such diverse expertise, we have a rich know-how in the field of data management.
Head of Business Intelligence
[email protected] | +48 696 842 414