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Unlocking Retail Success. Leveraging Analytics Stack Solutions for Data-Driven Decision-Making and Competitive Edge - Olalekan Olaniru - Bog

Bag om Unlocking Retail Success. Leveraging Analytics Stack Solutions for Data-Driven Decision-Making and Competitive Edge

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783346994035
  • Indbinding:
  • Paperback
  • Sideantal:
  • 28
  • Udgivet:
  • 7. Januar 2024
  • Udgave:
  • 24001
  • Størrelse:
  • 148x3x210 mm.
  • Vægt:
  • 56 g.
  • 8-11 hverdage.
  • 2. Oktober 2024
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Beskrivelse af Unlocking Retail Success. Leveraging Analytics Stack Solutions for Data-Driven Decision-Making and Competitive Edge

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.

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