What is Data Blender?

Occupation monitoring system in the labour market.

System creator and operator: Regional Labour Office in Rzeszów
The system has been designed, implemented and operated by a team of experts from the WUP in Rzeszów commissioned by the Minister of Labour.

Funding: the system was created and is maintained with funds from the Labour Fund, provided by the Ministry of Family, Labour and Social Policy.

 

Main system function

The main function of the DATA BLENDER system is to monitor the situation of OCCUPATIONS in the labour market on the basis of a comprehensive set of indicators.

 

Data sources for the system

The system administrator obtains data for calculations and presentation of selected indicators from:

  • Social Insurance Institution,
  • Central Statistical Office (GUS),

  • online job advertising portals (including the Central Job Offer Database 'ePraca' — the platform of the Ministry of Family, Labour and Social Policy).

     

List of occupations

The indicators selected for the analysis are available at the level of individual occupations in accordance with the Classification of Occupations and Specialisations (KZiS), grouped into occupation groups. Due to the significant fragmentation of data and the scope of the Classification (covering approximately 3,000 occupations), occupations were grouped into broader occupation groups for the purposes of the system.

Additionally, the list of occupations prepared for Data Blender was harmonised with the list of occupations used in the nationwide Occupation Barometer survey.

The list of occupations is included at Data Blender Methodology

It contains:

  • the list of occupation groups used in Data Blender,
  • the corresponding occupation groups used in the Occupation Barometer,

  • individual occupations from the KZiS assigned to occupation groups.

     

List of indicators

Occupation analysis is conducted in three areas:

  1. wages and contracts (in the context of average monthly gross wages and forms of employment),
  2. job offers (in the context of the availability of job vacancies),
  3. human resources (in the context of the availability of potential workers).

For each of the above areas, a set of indicators characterising it has been selected — available at the level of individual occupations.

The list of indicators is included at Data Blender Methodology

Necessary conditions for establishing the list of indicators:

  • substantive value — enabling the illustration of the situation of occupations in the labour market (the selected dimension);
  • availability of data by occupations and additionally at the level of districts (poviats) — in the whole range of data on the labour market obtained and processed by public institutions only some of them have such a structure.

System users can view the results of analyses on the website www.blenderdanych.pl

  • for:
    • district (poviat),
    • region (voivodeship),
    • country,
    • a self-selected group of districts or regions (data processed in a way that provides a combined result).

Each time — after the user selects an area — the system calculates indicator values in real time:

  • in two ways:
    • as lists of occupations in relation to each indicator (arranged by value from highest to lowest),

    • as information on individual occupations (with the values of individual indicators for a given occupation).

       

Occupation vitality ranking

The system provides the capability to generate an occupation vitality ranking, which:

  • allows occupations to be viewed from the perspective of several factors simultaneously — ranking them on the basis of a set of indicators that measure the labour market situation;
  • is prepared at the level of voivodeships and the country;
  • is created using a data ranking algorithm based on the TOPSIS method — a description is included at Data Blender Methodology.

 

System stakeholders

As a result, the system provides management information that can be used by:

  • persons for whom knowledge obtained from Data Blender serves personal purposes, including professional development:
    • persons navigating the labour market (employed persons, unemployed persons),
    • persons participating in formal education (pupils, students);
  • persons for whom knowledge obtained from Data Blender serves work-related purposes:
    • career advisers (including school-based advisers, those working in university careers offices, counselling centres) — supporting career decisions;
    • management staff of schools and universities — regarding education directions;
    • employers/entrepreneurs — regarding job creation or modification;
    • public policy makers — regarding labour market and funding decisions.