Smart Workforce
| dc.contributor.author | Aftab Ahmad Khan (SP19-BSE-149), Shakira Hafeez (SP19-BSE-150), Dil Muhammad (SP19-BSE-082) | |
| dc.contributor.author | LHR TP 8256 | |
| dc.contributor.author | Saman Safdar | |
| dc.date.accessioned | 2026-02-13T06:17:25Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The system helps in time management processes to be less troublesome. It becomes much easier to manage your labor pool, find a balance between hourly and weekly workers, and to optimize inflow and outflow percentages when you have a system in place. In past, many businesses relied on pen and paper to conduct these important tracking activities. That often-meant hand-recorded data (and inevitable mistakes), time-consuming manual data entry, and a long list of numbers that only the most analytical could interpret. Smart Workforce is more than just workforce management software; it's a holistic solution that offers companies total control over their workforce and assists them in making the best use of their resources to meet their goals. | |
| dc.identifier.uri | https://repository.cuilahore.edu.pk/handle/123456789/1532 | |
| dc.language.iso | en | |
| dc.publisher | Library Information Services, COMSATS University Islamabad, Lahore Campus | |
| dc.relation.ispartofseries | LHR TP 8256 | |
| dc.subject | Saman Safdar | |
| dc.subject | sp19 | |
| dc.subject | Department of Computer Science | |
| dc.subject | Software Engineering | |
| dc.subject | Smart Workforce | |
| dc.title | Smart Workforce | |
| dc.type | Thesis |