Unlocking Retail Success. Leveraging Analytics Stack Solutions for Data-Driven Decision-Making and Competitive Edge (PDF)
(Sprache: Englisch)
Seminar paper from the year 2023 in the subject Computer Science - Commercial Information Technology, grade: 2,0, International University of Applied Sciences, course: Analytical Software & Framework, language: English, abstract: This study focused on how...
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Seminar paper from the year 2023 in the subject Computer Science - Commercial Information Technology, grade: 2,0, International University of Applied Sciences, course: Analytical Software & Framework, language: English, abstract: This study focused on how an analytics stack solution can help a traditional retail company leverage the massive amount of data generated by various sales channels to improve its decision-making, productivity, and competitiveness. The analytics stack solution enables real-time tracking and analysis of customer behavior, sales performance, and market trends across physical stores, e-commerce, wholesale, and other channels. The study also examines the best deployment option (on-premise or cloud) for the analytics stack solution, considering the data type, volume, security, privacy, flexibility, and scaling factors. Furthermore, the study discusses the change management issues, essential components of a retail analytics stack and recommendations for adoption.
Bibliographische Angaben
- Autor: Olalekan Olaniru
- 2024, 25 Seiten, Englisch
- Verlag: GRIN Verlag
- ISBN-10: 3346994023
- ISBN-13: 9783346994028
- Erscheinungsdatum: 15.01.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 0.51 MB
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Sprache:
Englisch
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