Oil & Energy Clouds
Fuseology is a Total Workforce Optimization (TWO) system that facilitates Oil & Energy companies in maintaining and redeploying project workers across sequential outages, projects or turnarounds
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Workers’ specific industry knowledge is very important in terms of shortening the learning curve and increasing the speed of deployment. We gather workers into communities by industry and specific type of work (IT skills, call center, machine operator, help desk, bank teller, etc.) so that they are better skilled and knowledgeable at performing job duties. The community includes active and passive candidates that are available, interested and match the types of positions being sourced. Click here to learn more about how we can help you staff your projects.
Using cloud applications to manage talent and to optimize a workforce means using advanced AI, machine learning, and matching algorithms in the candidate search, selection, and management process. The Fuseology method goes far beyond the technology provided by standard recruiting practices today that rely upon typical keyword-based searches and scraping data from online aggregators.
The traditional sourcing method pulls a huge volume of candidates that companies and recruiters do not typically have the resources to review and vet in detail. With Fuseology, the talent community is set up in advance. The system will detect and infer related important data such as seniority, industry, a range of matching job titles, and candidate fit. Once this is done, Fuseology account managers review the candidates to ensure that they are viable and present only available, interested, and matched talent.
Fuseology is a Total Workforce Optimization (TWO) system that facilitates Oil & Energy companies in maintaining and redeploying project workers across sequential outages, projects or turnarounds
Learn MoreIT clouds, or communities, are set up to find, attract, and then keep IT pros interested in future job posting and specific client brands. Finding qualified candidates can
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