Implementation Considerations for Big Data Analytics (BDA): A Benefit Dependency Network Approach

Juane Maritz, Sunet Eybers, Marie Hattingh. Implementation Considerations for Big Data Analytics (BDA): A Benefit Dependency Network Approach. In Marié Hattingh, Machdel Matthee, Hanlie Smuts, Ilias O. Pappas, Yogesh K. Dwivedi, Matti Mäntymäki, editors, Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Skukuza, South Africa, April 6-8, 2020, Proceedings, Part I. Volume 12066 of Lecture Notes in Computer Science, pages 481-492, Springer, 2020. [doi]

@inproceedings{MaritzEH20,
  title = {Implementation Considerations for Big Data Analytics (BDA): A Benefit Dependency Network Approach},
  author = {Juane Maritz and Sunet Eybers and Marie Hattingh},
  year = {2020},
  doi = {10.1007/978-3-030-44999-5_40},
  url = {https://doi.org/10.1007/978-3-030-44999-5_40},
  researchr = {https://researchr.org/publication/MaritzEH20},
  cites = {0},
  citedby = {0},
  pages = {481-492},
  booktitle = {Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Skukuza, South Africa, April 6-8, 2020, Proceedings, Part I},
  editor = {Marié Hattingh and Machdel Matthee and Hanlie Smuts and Ilias O. Pappas and Yogesh K. Dwivedi and Matti Mäntymäki},
  volume = {12066},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-44999-5},
}