| DC Field | Value | Language |
|---|
| dc.contributor.author | Ladkina, M-I. l. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-07-23T11:51:52Z | - |
| dc.date.available | 2025-07-23T11:51:52Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Ladkina, M-I. l. Big Data implementation and usage indicators in the organisational marketing / M-I. l. Ladkina // Актуальные вопросы экономики и информационных технологий : сборник материалов докладов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 20–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2025. – С. 645–648. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/60951 | - |
| dc.description.abstract | This paper explores the assessment of Big Data implementation in organisations through technical compliance and alignment
with marketing goals. It details requirements for classifying projects as Big Data, evaluates economic efficiency using a defined model, and
examines operational metrics related to internet marketing. The findings highlight the integral relationship between Big Data effectiveness and
organisational performance, emphasising the importance of data-driven marketing practices. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | Big Data | en_US |
| dc.subject | economic efficiency | en_US |
| dc.subject | technical compliance | en_US |
| dc.subject | marketing alignment | en_US |
| dc.subject | CRISP-DM methodology | en_US |
| dc.subject | internet marketing metrics | en_US |
| dc.subject | data-driven marketing | en_US |
| dc.title | Big Data implementation and usage indicators in the organisational marketing | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)
|
