Predictive, personalized, and action-driven analytics of people and work: development of artificial intelligence algorithms utilizing deep neural networks and employee interaction data to predict the development and promotion of employees. Project number: FENG.01.01-IP.02-0545/23.
NetworkPerspective Sp. z o.o. completed the project “Predictive, personalized, and action-driven analytics of people and work: development of artificial intelligence algorithms utilizing deep neural networks and employee interaction data to predict the development and promotion of employees”.
The project was co-financed by the European Union from the European Regional Development Fund under the European Funds for a Modern Economy Programme, Measure 1.1 SMART Path, coordinated by the Polish Agency for Enterprise Development.
Projecto bjectives
The objective of the project was to conduct research and development works leading to the creation of the PROMOTION ANALYTICS module for the Network Perspective platform. The project aimed to develop predictive, personalized and actionable analytics of employee development and promotion opportunities based on HR data and objective information describing patterns of collaboration and interactions among employees.
The project successfully delivered innovative artificial intelligence algorithms capable of predicting employee career development, including managerial and expert career progression, salary-level changes, and advancement within organizational hierarchies.
Activities implemented within the project
The project was implemented through three main tasks.
Task1 – Development of predictive algorithms and promotion analytics indicators
Researchand development works were carried out to design and train artificial intelligence and deep learning algorithms combining HR data with information on employee collaboration patterns and interaction networks derived from enterprise systems such as email, chat and calendar tools. As a result, predictive models estimating the probability of employee development and promotion were developed together with statistical indicators supporting organizational-level analyses.
Task2 – Development of the PROMOTION ANALYTICS application module
A new software module was designed and integrated into the Network Perspective platform. The module provides organizations with dashboards, reports and analytics related to employee development and promotion trends. Functionality implemented within the module includes visualization of promotion indicators, generation of analytical reports, and automated alerts and notifications for managers and HR professionals regarding significant changes and emerging trends.
Task3 – Evaluation, testing and optimization of algorithms and the ITsystem
The developed algorithms and software components were tested and evaluated using real organizational data. Based on the obtained results, improvements were introduced to the predictive models and application functionalities, increasing prediction quality, usability and overall system performance. The final solution was validated and prepared for commercial deployment.
Target groups
The developed solution is intended primarily for medium-sized and large enterprises, particularly organizations operating in the IT/ICT sector, consulting industry, and modern business services sector(SSC/BPO), where employee development, retention and talent management are strategic priorities.
The main users of the solution include:
Employees also benefit indirectly through more objective and data-driven development and promotion processes.
Project results and effects
The project resulted in the successful development and implementation ofthe PROMOTION ANALYTICS module within the Network Perspective platform.
The implemented solution:
The project delivered a market-ready solution validated in real operating conditions and integrated into the Network Perspective platform.
Project value
Total project value: 2,367,985.00 PLN
EU co-financing: 1,566,000.00 PLN
Predictive, personalized and actionable work patterns analytics during the increased intensity of remote work caused by the pandemic: developing artificial intelligence algorithms that uses deep neural networks and data on employee interactions to predict increase and decrease in the effectiveness of remote work. Project number: POIR.01.01.01-00-2589/20.
Network Perspective Sp.z o.o. received funding for the project "Predictive, personalized and actionable work patterns analytics during the increased intensity of remote work caused by the pandemic: developing artificial intelligence algorithms that uses deep neural networks and data on employee interactions to predict increase and decrease in the effectiveness of remote work".
Project co-financed by the European Union from the European Regional Development Fund. The project is realized within the competition of the National Centre for Research and Development under the Operational Programme Intelligent Development 2014-2020,Measure 1.1 R&D projects of enterprises, Sub-measure 1.1.1 Industrial research and development works realized by enterprises.
The main objective of the project is to develop the Network Perspective platform with the PRODUCTIVITY ANALYTICS module, which allows to predict the probability of increase and decrease in the effectiveness of remote work in a team based on information about the ongoing interactions between employees.
As a result of the project, a new, innovative module of the Platform will be developed, which, through the use of artificial intelligence methods, will predict the probability of increase and decrease in the effectiveness of remote work based on data on interactions taking place between employees.
Project value: 1 756 900.39 PLN PLN
Co-financing value: 1 282 804.37 PLN
Predictive, personalized, and actionable People & WorkAnalytics: developing artificial intelligence algorithms using deep neural network learning and employee interaction data to predict turnover and retention in People & Work Analytics. Project number: POIR.01/01/01-001288/19-00.
Network Perspective Sp.z o.o. received funding for the project "Predictive, personalized and actionable People and Work Analytics: developing artificial intelligence algorithms using deep neural network learning and employee interaction data to predict turnover and retention in the area of People & WorkAnalytics".
Project co-financed by the European Union from the European Regional Development Fund. The project is realized within the competition of the National Centre for Research and Development under the Operational Programme Intelligent Development 2014-2020,Measure 1.1 R&D projects of enterprises, Sub-measure 1.1.1 Industrial research and development works realized by enterprises.
The main objective of the project is to develop the Network Perspective platform with the PEOPLE& WORK ANALYTICS module, which allows to predict the probability of leaving for employees based on employment data and information about the ongoing interactions between employees.
As a result of the project, a new, innovative module of the Platform will be developed, which, through the use of artificial intelligence methods, will predict the probability of leaving employees based on their employment data and data on interactions taking place between employees.
Project value: 1,257,863.98 PLN
Co-financing value: 919,999.89 PLN
Network Perspective Sp.z o.o. received funding for the implementation of the project "Introduction of the applicationOrganization Map / Network Perspective to the Canadian market." The project is co-financed by the European Union under sub-measure 3.3.1"Polish technological bridges" of the Operational Programme Intelligent Development 2014-2020.
Value of the project 200 thousand PLN.
Value of co-financing 200 thousand PLN.
Network Perspective Sp.z o.o. received funding for the implementation of the project "Introduction of the applicationOrganization Map / Network Perspective to the Norwegian market." The project is co-financed by the European Union under sub-measure 3.3.1 "Polish technological bridges" of the Operational Programme Intelligent Development 2014-2020.
Value of the project 200 thousand PLN.
Value of co-financing 200 thousand PLN.
