Britenet’s Business Intelligence department is a team of 100 experienced specialists with diverse competencies and vast know-how in data management. Our extensive technology expertise and skills are confirmed by SAS, Microsoft or Oracle certificates and by the satisfaction of our clients. We deliver comprehensive solutions, and that is why our team consists of professionals with various profiles: software developers, testers, architects, project managers and data scientists. We organise and integrate data to discover trends and correlations in business processes. Our systems offer easy and pleasant visualisation and reporting. We supply organisations with data-based knowledge and our activities cover a wide range of Business Intelligence areas.

We implement various Data Science projects, including Machine Learning models, from establishment of business needs to production launches. We provide consultations regarding exploratory and predictive data analysis. We help prepare data architecture and we assist business users in incorporating Machine Learning into their activities. We support our clients at all stages of analytical work.

Data is nowadays obtained and stored in various systems and formats, even within one enterprise. That is why data integration is one of the primary stages of building a knowledge-based organisation. Once data is given a uniform form and content, it can be fed to the central data warehouse to build consistent reports and analyses. We execute data integration and migration from various sources and IT systems. In our work, we use ETL tools from Informatica, Microsoft or SAS and the expertise of our analysts.

Data generated by business contain information about company processes, customer satisfaction, project profitability and many other ratios. Exploring, understanding and properly using such information is the key to success. This is what data analysis is for. This way it is possible to obtain answers to the key questions regarding the functioning of the organisation. The analysed data are fed to reporting tools for easier drawing of conclusions and forecasting of trends.

Even the best analysis or report cannot provide appropriate knowledge if the quality of the input data is not high. So it is important to make sure data is complete, up-to-date, reliable and consistent and to cleanse it. Our data quality activities allow our clients to save the time when they reuse the data, to obtain proper business interpretation of the data and to optimise costs. We take care of the whole data cleansing process, i.e. data quality assessment, parsing, standardisation and deduplication, and we prepare ready data sets and provide automation of data quality activities.

We create Data Warehouses to store large quantities of data coming from various systems and sources in the organisation. Our developers and architects use primarily Microsoft and Oracle tools. Data Warehouses are complex IT systems launched in organisations in order to combine data into consistent business areas and thus increase the analytical possibilities. Aggregated data from various spheres of the company’s activity permit cross-sectional analyses.

We offer the preparation of cyclical reports and analyses according to various arrangements and cross-sections. Reports and analyses are available anytime and anywhere. We also ensure deployment of tools where business users can prepare reports on their own. We offer our clients solutions from SAS, Microsoft and Tableau. Our activities help companies control sales, analyse costs and verify the effectiveness of marketing campaigns. On this basis, they can optimally plan further business activities.

In the age of the growing quantities of information, their analysis and understanding is becoming more and more difficult. Integration and storage of large quantities of highly diverse data requires a different approach and tools other than traditional data warehouses. With the acquisition of knowledge from Big Data sets, you can get to know customers’ preference better and offer them appropriate services. We use platforms such as Hadoop, Spark and Hive to create Big Data systems that constitute the basis for analytical works. In doing so, we apply a wide range of statistical and exploratory methods to perform predictive and scenario analyses. We prepare data integration for our clients, feed Big Data databases, acquire data from Big Data systems as well as analytical and statistical models.

Central Customer Database is an innovative solution that provides key information about customers. CCB makes it possible to gather and identify data from various databases functioning in an organisation in a way that ensures their top quality. With the Central Customer Database, you will learn how many customers you actually have. The system has an intuitive interface to be used to explore and manage customer data. With an embedded GDPR module, your company may efficiently register and handle customer requests and then update request statuses in the register.