Services

The causes of problems with corporate data:

• using outdated systems, where it is difficult to understand data without special knowledge
• the data in outdated systems are often mutilated by their inconsistency
• applications are no longer supported by manufacturer and a customer cannot use data
• wrong information and typing errors, such as meaningless addresses, names and the like.

These problems can be solved by standardized tools and technologies.

Main benefits of data integration solutions and consolidation:

• reducing time for implementation thanks to the professional approach
• strict monitoring of costs in the project, meeting deadline for implementation and elimination of project risks
• ensuring profiling of data, quality and data structures review
• application of transformation and cleaning mechanisms for removal of inconsistent data between systems, and improvement of the process of organization
• complete documentation of solutions.

Through reporting system managerial staff can monitor at different levels the condition of the components or more precisely processes, which they are responsible for. In addition to an easy and simple use, it is essential to have clear and real data.

Our company provides reporting system with simple tools whereby you will be able to monitor and analyze performance of the company. We offer not only technological platform, but we can also help to set up processes so that you can check their performance in accordance with the objectives.

Thanks to our solutions you will get:

• reporting tools whereby managerial staff will be able to communicate more clearly adopted strategy that will make better identification possible
• clear connection between adopted strategy, operations and efficiency of business
• knowledge about different parts of the strategy - the objectives, key indicators, adopted measures and operating performance
• ability to define the link between the causes and consequences
• possibility to map targets of the company, departments, groups and individuals
• unified environment for defining strategic objectives, performance parameters, as well as monitoring and planning of them
• ability to adjust processes of monitoring and checking of the adopted strategy in more detail, its implementation and impact
• connection of the planning process with the adopted strategy up to the operating budget level.

Financial, statutory and management reporting

Financial, statutory and management reporting provide consistent data for correct decision making. It is very important to unify the process of preparation across the organization to all types of reports. You can achieve not only better clarity, transparency and a shorter preparation time, but at the same time, you will be able to approve changes resulting from new requirements of regulatory authorities and/or organization itself.

When preparing reports we are facing these deficiencies:

• errors and inconsistencies caused by manual processing and incongruity of processes in collecting data and preparing reports
• differences in data and results between statutory and managerial reports
• lack of transparency between reports and input data
• lack of reports with higher content of non-financial data
• long preparation of regular monthly/annual reports
• complicated management of report versions
• issues with data preparation based on various regulatory rules
• complicated data collection from a variety of sources.

Planning

Our BPF solutions enable you to significantly reduce the time required for planning, thanks to the decrease of the manual activities for working with data and the application of transparent procedures related to the preparation of budgets and forecasts.

Planning areas:

• strategic planning
• tactical planning
• financial planning
• management reporting
• forecasting
• risk management.

If you apply our solutions, we guarantee:

• reducing time required for the preparation of plans and budgets, simplifying and speeding up adjustment plans, budgets, and periodic forecasts of development
• maximum auditability of changes in the preparation of plans and budgets
• better control of the planning process by monitoring assumptions that were taken into account in the preparation of plans and budgets
• unification and mutual visual connection between the strategy, financial and operational planning
• creating and design of decision-making processes, budgeting and forecasting future developments.

Typical issues addressed by data mining:

• customer segmentation
• detection of fraud and other anomalies
• prediction of customers who will be able to respond positively to the marketing campaign (selling a new product, cross-selling, up-selling, maintaining customer)
• shopping basket analysis (identification of products which are often sold together)
• prediction of time series

We divide statistical methods into two basic categories:

• Descriptive statistical methods describe actual condition and allow better understanding of reality. They use frequency and contingency tables plus data visualization (histograms, pie charts, bar and line charts). They often describe distribution of values by one or more indicators (diameter, median, percentiles, minimum, maximum, standard deviation, etc.). They are represented in reporting and in business intelligence.
• methods of the inference statistics - knowing that getting a complete set of data may not be possible due to demand, time or finance, statistics knows how to work with a random sample data on which it predicts real parameter values. Methods of inference statistics are divided into:
  • an estimation of parameters and intervals - use in various surveys
  • tests of the hypotheses – allows, for example, to specify effective marketing campaign, test the effectiveness of new medicine, determine the most compelling product packaging or set mix of radius in order to satisfy the target group.
• modeling allows to find relations between the dependent variable and many independent variables. We can model, for example, salary of an employee depending on his age, education, working conditions and years of experience and thus predict salary of the new employee. Another example is the prediction of customers who will buy a new product. It is also possible to model a development of various indicators in time.