Capabilities and Readiness for Big Data Analytics
| Autor: | Mike Hart, Irwin Brown, Jenifer Pedro |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
business.industry Computer science Big data 020206 networking & telecommunications 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Key (cryptography) General Earth and Planetary Sciences Data Protection Act 1998 020201 artificial intelligence & image processing Thematic analysis business General Environmental Science |
| Zdroj: | Procedia Computer Science. 164:3-10 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2019.12.147 |
| Popis: | Despite some of the initial hype from marketers and consultants, the use of big data is now firmly established in many organisations worldwide. Big data analytics (BDA) is making use of huge volumes of data from a wide range of structured and unstructured sources. Surveys have however reported a number of barriers to organisational effectiveness with BDA. This research aims to determine what capabilities large organisations require to be ready for a successful BDA initiative. Drawing mainly on relevant results of two published research articles, key informed stakeholders from a large South African telecommunications company were interviewed on this topic. Thematic analysis identified the key themes and sub-themes relating to capabilities needed for the organization to be ready for effective BDA. These proved to be very similar to those given in the earlier research, although a new capability of legal compliance for data protection was now added. |
| Databáze: | OpenAIRE |
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