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.
| Author: Olalekan Olaniru |
| Publisher: Bod Third Party Titles |
| Publication Date: Jan 07, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 3346994031 |
| ISBN-13: 9783346994035 |
