Public Administration
Government and local administration are responsible for issues which affect almost every area of society. These include problems related to public finance, tax and social security, healthcare, unemployment and welfare. The work of public administration also involves education, combating crime, issues associated with public transport and goods transportation, and environmental protection.

The need to analyse data

Although government and councils are concerned with a wide range of issues they all have one thing in common: they all need to collect and analyse data about their operations in order to prepare the necessary reports and achieve deeper knowledge of their organisation and the various factors affecting it.

The need to collect and analyse data results first and foremost from legal requirements. Because the departments spend public money they are obliged to inform the public about their spending plans and allocation procedures. To create accurate reports of these operations it is essential to use data analysis tools.

The reliance of public administration on public funds means they must also strive to manage their resources rationally. It is therefore essential for them to keep track of the progress of the projects and initiatives they implement and understand the various factors affecting them. Data analysis is an invaluable tool for obtaining this information.

Reporting

The data analysis tools contained in STATISTICA can be used for both reporting on the routine operations of an organisation and for monitoring the progress and implementation of projects. They also allow proper assessment of the results of administrative measures and help determine whether the funds, which a particular department has at its disposal, are being used rationally and effectively.
Properly conducted reporting provides public administration departments with:

fast access to information on the current progress of administrative projects and initiatives,

the ability to assess projects being realised and foresee potential threats,

automation of reporting.

The kind of reporting carried out by the departments rarely requires complex analysis. The biggest problem is the labour-intensive and time-consuming nature of the work and the risk of making mistakes during routine operations.

These problems can be overcome by using functions included in the STATISTICA programme which allow the user to prepare analysis templates which can be automatically applied to new data collections. Analysis templates increase the degree of automation of reporting and therefore allow substantial reduction of the time needed to draft reports, as well as minimising the risk of mistakes being made.

Reports prepared using STATISTICA can also be automatically saved in an appropriate format for example PDF or html and made available to other authorised persons via the Internet or Intranet.

Identification of dependencies and prediction

Reporting is an important part of running an administration department, not least because it is required by law. However, knowledge obtained through reporting can at best allow accurate presentation of a past situation, while administrative staff, besides reports describing the current state of affairs, also need additional information allowing them to better understand their organisation and therefore manage it more effectively.

The data analysis tools included in STATISTICA will allow you to carry out advanced analyses and thus identify previously unknown dependencies which are of great significance for your organisation. The knowledge you acquire through advanced data analysis will allow you to:

better understand the underlying mechanisms of phenomena which your organisation is interested in,

identify and assess dependencies between phenomena being analysed,

identify critical factors affecting particular phenomena,

assess the various effects of your organisation's operations,

assess differences in the effects of administrative measures on particular groups of people and look for reasons for these differences,

the results of deep data analysis can increase the effectiveness of public administration measures, improve the results of administrative projects, and allow for more rational project planning. Also, careful analysis of historical data collected for the purpose of reporting can be used as a basis for effective forecasting. For people who have to plan administrative operations on the basis of estimated values for future phenomena such knowledge is usually an invaluable resource. An accurate forecast can lead to better decision making and planning and also allow better preparation for changes which are expected to occur in the future.