Viability assessment of supplementary vocational education institutions based on staff satisfaction analysis

The tasks associated with the viability assessment of an organization are relevant for most companies in the current market environment. This can be explained by the fact that the solution of these problems makes it possible to see the state of the enterprise, its possible potential prospects at this juncture, to determine the further strategy, areas of work for successful long-term functioning in the future. The article is concerned with the study of the relevant measurable criteria required for the viability assessment of supplementary vocational education institutions. The methodological basis of the study includes the management concept based on a balanced scorecard, as well as a problem-oriented approach, taking into account the specifics of the activities of institutions providing supplementary vocational education services. Eight groups of criteria for viability assessment of supplementary vocational education institutions with specific indicators have been identified and a scale for their measurement has been proposed. The correspondence of these groups of criteria within the components of the integrated management system has been shown. The satisfaction with the work of staff in the institution is analyzed herein based on the results of a survey of employees for two years

Discovering and merging related analytic datasets

International audienceThe production of analytic datasets is a significant big data trend and has gone well beyond the scope of traditional IT-governed dataset development. Analytic datasets are now created by data scientists and data analysts using big data frameworks and agile data preparation tools. However, despite the profusion of available datasets, it remains quite difficult for a data analyst to start from a dataset at hand and customize it with additional attributes coming from other existing datasets. This article describes a model and algorithms that exploit automatically extracted and user-defined semantic relationships for extending analytic datasets with new atomic or aggregated attribute values. Our framework is implemented as a REST service in the SAP HANA and includes a careful analysis and practical solutions for several complex data quality issues