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Innowise has developed a system for collecting, editing, and controlling employment data of households and individuals.
The World Bank is an international financial institution that provides loans and grants to the governments of low- and middle-income countries for development projects, reducing poverty, and promoting sustainable economic growth around the globe. The organization partnered with the state statistics committee of a European country, subsidizing the capital expenses for developing a labor force survey system to manage employment and business activity.
Central and local governments regulate key social and economic life aspects, determining state priorities for economic prosperity and sustainable growth. Likewise, labor conditions play a significant role in the success of both domestic and international economies, as labor force and business activity affect all industries and domains.
The World Bank approached Innowise to improve state labor force accounting for one of the European countries. Beforehand, they relied on statistical information questionnaires and administrative registration lists of unemployed maintained by local employment offices to obtain information from enterprises, entrepreneurs, and other employers. Nonetheless, the customer lacked human resource management software that provided accurate and up-to-date data from individuals and households to formulate a social development plan based on business activity and labor force potential.
As a result, Innowise was challenged with developing a full-fledged human resources management software that gathers and analyzes labor force data from multiple sources, providing a holistic approach to managing employment rates.
The main project objective was developing a tailored software for human resource management and employment data, reflecting the characteristics and composition of the labor force, including demographics, education, and occupation. We were responsible for developing a comprehensive and easy-to-use HR software solution for managers conducting surveys, interviewers collecting primary data, and respondents participating in the censuses.
For gathering, editing, and controlling employment data, our specialists initially utilized a free CSPro tool, configuring the solution to meet specific customer requirements and local business needs. As a result, the scope of work included developing the following artifacts:
Users can input/edit data, add tables, and upload data on households and respondents for analysis and statistics in the application’s general menu. As for the basic workflow, we established a two-tier system for managing employment information, with the first tier representing generic household data and the second tier providing detailed questionaries.
A structured questionnaire collects relevant information, including employment status, industry and occupation, educational background, wages, working hours, and other relevant labor market variables. Our developers included different types of fields, allowing users to choose predefined variants or enter information from the keyboard. Additionally, we ensured decent detalization, implementing drop-down lists that help users specify their personal data. For instance, when respondents indicate their place of residence/work (city, village, street, etc.), they can choose from the geo handbook reflecting the administrative-territorial division of a particular country. By creating templates, users can eliminate the need to input data across multiple questionaries. Moreover, they can conduct surveys and censuses with varying periodicities to capture changes in the labor market over time, such as quarterly or annually.
We ensured 350 scenarios to validate input data and alert users in case of mistakes, highlighting the field to replace or correct information.
Then, collected employment data is carefully processed, cleaned, and entered into employee database software, allowing customer’s operators to analyze labor information and derive meaningful insights. Upon data cleansing and processing, the survey results are compiled into reports, summary documents, and interactive dashboards. Ultimately, these findings are shared with policymakers, researchers, and the general public through various channels, including government websites, publications, and press releases.
Back-end
Java, Spring Boot, Hibernate, Thymeleaf, RESTful API, CSPro
Front-end
React, JavaScript, TypeScript, HTML, CSS
Database
PostgreSQL
DevOps
Apache Maven, Apache Tomcat, Apache POI, Apache Kafka, Elasticsearch, Swagger, Docker, Kubernetes, Sonar
Cloud
Amazon Web Services
QA
JUnit 5, Spring Boot Test, JMeter
As for the project pipeline, two stages were involved – the preparatory stage (team onboarding and familiarization with customer workflows) and the development stage (building tailored labor force survey system). During the preparation stage, we also ensured three methodologies for primary data collection, including pen-and-paper personal interviews (PAPIs), computer-assisted personal interviews (CAPIs), and questionnaires via the internet, streamlining accuracy and consistency in data collection.
Further, we defined survey objectives, designed the questionnaire, established a sampling frame, trained field staff, and conducted a pilot survey to validate the survey instrument.
Having agreed on the methodological approaches, we built the labor force survey system based on the CSPro capabilities. We aligned to elicited requirements throughout the project scope, accommodating changes seamlessly thanks to the agile Scrum methodology. The team checked project progress by holding daily meetups, with every member reporting their current responsibilities and tasks to complete.
Innowise has developed full-fledged human resource software that plays a critical role in providing accurate and up-to-date information about the labor market, employment trends, and workforce characteristics. Platform-generated insights enable customer’s decision-makers to pursue an evidence-based policy, monitoring a business-active population and addressing unemployment, skills gaps, wage disparities, and other labor-related challenges. Researchers, academics, and analysts can utilize HR software solution for in-depth studies, modeling, and forecasting, contributing to a deeper understanding of labor market dynamics and trends. Furthermore, disseminating survey findings increases public awareness and knowledge of labor market conditions, promoting informed social policy.
99.3%
coverage of employment data
31%
boost in labor force efficiency
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Innowise Sp. z o.o Ul. Rondo Ignacego Daszyńskiego, 2B-22P, 00-843 Warsaw, Poland
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