A knowledge management system (KMS) is a concept that can be used for creating knowledge repositories, improving knowledge access and sharing as well as communicating through collaboration, enhancing the knowledge environment and managing knowledge as an asset for an institution or organisation. In this paper, we propose a collaborative KMS framework for learning organisations (LOs) and discuss components in the framework that will help organisations to increase productivity and quality as well as to gain return on investment from a KMS. These components are KMS functionality, architecture, taxonomy, psychological, sociocultural and audit.
<span>With the inauguration of Big Data Analytics initiative nationally, many nations have participated and paved way for BDA ecosystem. The initiative is a catalyst to further encourage economic growth in Public Sectors. Some of the common key deliverables identified are increasing productivity involving information communications technology, cost savings, shared benefits, and encourage innovation. The objectives can be further elaborated by driving big data analytics demands in various public sectors agency, adopting big data analytics framework supporting the building of big data industry. This has encouraged talents and startup companies inspiring their capabilities by developing various technology platform, collaborate and innovate amongst public and private sectors, and further strengthen data governance by creating policy and procedures. With the establishment of big data analytics framework, performance measurement can be enforced effortlessly using the principles of business intelligence maturity model and the technological stack comes with it. Various data sources can be used to benchmark service quality using advanced analytics and data science techniques.</span>
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