Big Data Analytics: Towards a Model to Understand Development Equity for Villages in Indonesia
| Autor: | Linda Salma Angreani, Mokhamad Amin Hariyadi, Annas Vijaya |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Big data Equity (finance) Developing country Monitoring and evaluation Big data analytics Data science Data type Developing countries Big data for development lcsh:TA1-2040 Information system lcsh:Engineering (General). Civil engineering (General) business Villages |
| Zdroj: | MATEC Web of Conferences, Vol 164, p 01004 (2018) |
| ISSN: | 2261-236X |
| DOI: | 10.1051/matecconf/201816401004 |
| Popis: | The aim of this paper is to design a prototype model that can be used to better understand development equity for villages in terms of public monitoring and evaluation. In designing the model, the research has reviewed several techniques of big data analytics as well as alignment of business strategic objectives and technology. The prototype model also tested using several types of data. Although some obstacles have found, as it also found in the reviewed literature, a prototype model which can guide researchers and practitioners to understand ways to capture public monitoring is presented in this paper. Furthermore, Information systems researchers could use this prototype model for further research to get a deeper understanding of big data analytics roles for development, particularly in developing countries. © The Authors, published by EDP Sciences, 2018. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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