We offer a wide range of reporting and analysis methods. These include:

• corporate reports,
• ad-hoc reports,
• executive dashboards,

• scorecards,
• reports delivered from a central system to mobile devices.

Regardless of which of the above methods is chosen, the information collected will always be used efficiently.

Thanks to our solutions, users can easily and quickly find hidden regularities and dependencies between information gathered in data warehouses. The process of Data Mining consists of selection, collation and analysis of data. Information selected and presented in such a manner can answer many questions, such as:

We offer planning applications that enable full control over budgeting by scheduling and verifying the performance of tasks assigned to individual employees.

We provide systems that not only facilitate and accelerate the creation of plans, but also enable access to alternative solutions. On the basis of historical data, they make it possible to verify and correct the intended actions; moreover, they provide opportunities to:

Data warehouses

The data warehouses we create are centralized and extensive databases that are used to store huge amounts of information originating from various sources and flowing through a company.

Apart from the fact that they enable quick searching and efficient analysis of their entire content, having them also translates into numerous benefits:

• ensuring an appropriate speed of operating systems – data warehouses are separated from operating systems and therefore they do not slow down their operation;
• increasing the operational value of business applications – data warehouses can work in conjunction with transactional systems, in particular with Customer Relationship Management (CRM) solutions;
• security of stored data – all data is stored in a central repository;
• efficient and accurate management – data warehouses provide a solid foundation for applications that support decision-making and control over an enterprise.

• understand where in the source system the data comes from, what transformations they undergo, and where they go;
• estimate the time expenditure and costs of possible changes in the system by knowing all the objects that will be affected by the modification, and also ensure the consistency and correctness of the entire process planned in such a manner;
• have an integrated and consistent insight into all metadata.

Master Data Management is a set of processes and tools which are necessary to correctly manage and define an organization’s master reference (but not transactional) data. It aggregates and ensures proper quality, consistency and distribution of that particular information across a company. It supports the management of areas such as: customers, products, accounts, employees and vendors.

To ensure 100% reliability of your data, we offer Data Quality Management service that will help you:

• create correct business analyses based on actual data, and thus more accurately depicting all processes occurring in the company;
• provide better customer service – thanks to having all the information about your customers in one place and in one consistent form;

The basic elements of any Business Intelligence solution are well-developed data integration processes, commonly referred to as ETL processes (Extraction, Transformation, and Loading).
Properly defined ETL processes make it possible to turn huge amounts of diverse data into easily accessible, structured and useful information for each company. In other words, they allow you to:

• extract data from source systems (Extraction) – from text files and Excel lists to all relational database systems (Oracle, Sybase, DB2), to ERP-class applications such as SAP R/3;

As is the case with source systems, the target reporting systems of ETL processes may include any of the following and beyond: from flat files to various external applications and external reporting systems, to dedicated data warehouses.