Easy to deploy, stable, and scalableSuccessFactors has a best practices model for HR across the board, but there are multiple industries. For example, the pharmaceutical, engineering, and professional services industries may have different processes based on their business requirements and operations. SAP and Workday have one approach across industries. As employee experience becomes increasingly important, the kind of employees appointed in an engineering environment, a pharmaceutical environment, and a professional service environment are very different, meaning their experience touchpoints may differ and require adjustments. SuccessFactors should consider building their best practices around critical industries to help companies become more differentiated in the markets they operate in. As a company, we have 118,000 followers on LinkedIn, and the unemployment rate in South Africa is quite high, at more than 30 percent. When we advertise a job, the number of CVs and applications we receive from people who want to work for us is overwhelming, we can get up to 600 CVs for a single vacancy. To make the process more efficient, we need to use artificial intelligence to identify the key elements of the job profile and match them to the CVs of the applicants. The pre-selection questions are helpful in reducing the number of applicants, but they don't measure the suitability of the CVs and profiles. This is something that needs to be built into the system, but it doesn't currently exist in the market. We have a good pre-selection program, but it doesn't take into account experience, qualifications, professional memberships, work experience, or critical performance indicators. We have enough information from CVs and LinkedIn profiles for the system to match the vacancy profile with the applicant's information and rank them from most suitable to least suitable.
