{"title":"Evidence based Employee Analytics using Taxonomy Enabled Knowledge Graph","authors":"Nitin Aggarwal, Sandeep Varma, Alina Rizvi, S. Shivam, Apuroop Bhushanam, Rishu Jamaiyar","doi":"10.1109/DELCON57910.2023.10127301","DOIUrl":null,"url":null,"abstract":"Every organization produces a lot of data, analyzing this data, to gain insights and to make amendments is vital for running any sector. There are many documents that can be used to analyze the company’s staffing distribution. One such document is statement of work, this includes the staffing details, the client names, capabilities focused, assets and tools used in that specific project. In this paper we create a pipeline, by taking dataset comprised of all the sow documents generated by an organization and then generating insights from it. We created a utility to identify the expertise of every employee, this information can be used to further predict the employee similarity or to create an expertise-based search engine for employees. These tools can assist the management and staffing authorities at higher level. Hence, we can create a solution and save an enormous amount of human efforts and time.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DELCON57910.2023.10127301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Every organization produces a lot of data, analyzing this data, to gain insights and to make amendments is vital for running any sector. There are many documents that can be used to analyze the company’s staffing distribution. One such document is statement of work, this includes the staffing details, the client names, capabilities focused, assets and tools used in that specific project. In this paper we create a pipeline, by taking dataset comprised of all the sow documents generated by an organization and then generating insights from it. We created a utility to identify the expertise of every employee, this information can be used to further predict the employee similarity or to create an expertise-based search engine for employees. These tools can assist the management and staffing authorities at higher level. Hence, we can create a solution and save an enormous amount of human efforts and time.