INNOWORK TECHNOLOGY- People & Performance jobs and careers

About INNOWORK TECHNOLOGY- People & Performance

INNOWORK Artificial Intelligence based innovative Talent Management platform solving Productivity & Skill Development problems for Corporates. (Talent Management Solution Experts) On INNOWORK (Learning), helps HR Manager to identify the competencies for each role in detail, identify the human capital potential, understand their skill gaps & identify training needs analysis for each employee. Additionally, Innowork algorithms also recommend the right program to fulfill employee skill gaps to improve their skills using e-learning /classroom courses. INNOWORK's internal learning features create engaging training to share their skills and expertise within your organization through classroom, self - learning and on the job training programs. Key Feature -Competency Mapping -Employee Skill Profiling & Skill Gap Analysis -Personalized learning and Development plans -AI-Based Course recommendations -Course Authoring (Learning Management System) -Succession Planning and Career pathways -Learning Analytics and Skill evaluation (Dashboard), etc. Continuous Performance Management Platform: INNOWORK (Perform) will help the organization to achieve their company goals using their Human Capital. Through, Innowork (Perform) HR can create their strategy map including Objectives & Key Results. Align or cascade it across the organization through the SBUs objectives/ Division/Section/unit objectives. Every level of these objectives links with KPIs. Besides, easy to create the Objectives and KPIs for the staff and the team. Through Dashboards, it is easy to monitor staff performance and achievements on a daily basis. Also, it helps to assign the task for staff. KEY FEATURES: -Task Management -Link tasks to the individual Objectives & KPIs -OKRs (Objectives & Key Results) - Org. level -Objectives & KPIs for Division/Section/Unit -Objective cascade/alignment -Strategy Map & Balanced Scorecard -Operational & Strategy Dashboards

Founded in 2018 by Peer Mohaideen Sait.