Big Data Analytics Initiatives Using Business Intelligence Maturity Model Approach in Public Sector
| Autor: | Harihodin Selamat, Sadesh Manikam, Shamsul Sahibudin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Health (social science)
Knowledge management General Computer Science business.industry 020209 energy General Mathematics 05 social sciences Public sector Big data General Engineering 02 engineering and technology Competitive advantage Data science Education General Energy Business analytics Information and Communications Technology Analytics 0502 economics and business Business intelligence 0202 electrical engineering electronic engineering information engineering Service Integration Maturity Model business 050203 business & management General Environmental Science |
| Zdroj: | Advanced Science Letters. 23:4097-4100 |
| ISSN: | 1936-6612 |
| DOI: | 10.1166/asl.2017.8334 |
| Popis: | Big Data requirement in Public Sector is gaining focus in many countries. Described in the Eleventh Malaysia Plan 2016–2020, Big Data Analytics (BDA) has been identified as key focus for Information and Communications Technology (ICT). Especially with the recent participation of Trans-Pacific Partnership Agreement, Malaysia will be competing amongst other nations to make quick and accurate decision contributing to economic and GDP growth. With good understanding and guided implementation framework of Business Intelligence, right and agile decision can be made using the various available information. Malaysia Public Sector requires ICT involvement in Business Intelligence domain to perform Big Data Analytics. With evolving of data availability and needs for building correlation with different sets of data, Big-Data offers an emerging space to analyze wealth of information form structure, semi-structured and un-structured data set. Business Intelligence provides an organization the insight required to make the key and critical decision for leading competitive edge. |
| Databáze: | OpenAIRE |
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