BIG DATA ANALYTICS FRAMEWORK FOR TELECOMMUNICATION FIRMS

CHF 98.75
Auf Lager
SKU
L1ETVGLNMQ5
Stock 1 Verfügbar
Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

In the era of Big Data, firms in every sector are required to deal with a huge amount of data. Given an abundance of data, interest in BDA has led many companies to achieve more benefits by developing Big Data Analytics capabilities to maximize firm performance in the shade of tough competition. However, BDA pays off for some firms but not for others due to investment in BD still poses a lot of challenges because of missing link between analytics capabilities and Firm Performance(FPER). Also, BDA is not being utilized widely and only a few companies have achieved any impact from it. To address this challenge in Telecom domain and in response to the scarcity of research on this subject, this study concentrated on BDA Technology as one of the crucial pillars to get benefits through increased Firm Performance. For the purpose of this research we have adopted qualitative approach, case study method, and technique of data collection is includes semi-structure interview and document analysis. The findings from Delphi technique and interview in Malaysia, confirm the four critical elements that contribute in sustainability BDATech pillar, as an essential dimension, and its impact on FPER.

Autorentext

Hassan Keshavarz received the Ph.D. degree from the Universiti Teknologi Malaysia (UTM). Experienced Big Data Analytics with a demonstrated history of working in Telecommunication and IT fields as the Big Data System Engineer. His research area are Big Data Analytics and Data-Driven Analytics.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786203042528
    • Sprache Englisch
    • Größe H220mm x B150mm x T17mm
    • Jahr 2020
    • EAN 9786203042528
    • Format Kartonierter Einband
    • ISBN 6203042528
    • Veröffentlichung 16.12.2020
    • Titel BIG DATA ANALYTICS FRAMEWORK FOR TELECOMMUNICATION FIRMS
    • Autor Hassan Keshavarz , Akbariah Binti Mohd Mahdzir
    • Gewicht 417g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 268
    • Genre Betriebswirtschaft

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470