Andere Kunden interessierten sich auch für
![A Deep Learning Based Spontaneous Retail Product Identification]( "A Deep Learning Based Spontaneous Retail Product Identification")
A Deep Learning Based Spontaneous Retail Product Identification18,95 €![Edge Intelligence in the Making]( "Edge Intelligence in the Making")
Edge Intelligence in the Making64,19 €![Cutting-Edge Research Topics on Multiple Criteria Decision Making]( "Cutting-Edge Research Topics on Multiple Criteria Decision Making")
Cutting-Edge Research Topics on Multiple Criteria Decision Making111,99 €![Exploration of Competitive Market Behavior Using Near-Real-Time Sentiment Analysis]( "Exploration of Competitive Market Behavior Using Near-Real-Time Sentiment Analysis")
Exploration of Competitive Market Behavior Using Near-Real-Time Sentiment Analysis47,95 €![IT-Success. Moving From IT-Governance to Enterprise-Governance of Information Systems in Inter-Governmental Organisations]( "IT-Success. Moving From IT-Governance to Enterprise-Governance of Information Systems in Inter-Governmental Organisations")
IT-Success. Moving From IT-Governance to Enterprise-Governance of Information Systems in Inter-Governmental Organisations27,95 €![Creating Competitive Advantage with Electronic Commerce]( "Creating Competitive Advantage with Electronic Commerce")
Creating Competitive Advantage with Electronic Commerce38,00 €![TCP/IP - The Internet Protocol Stack]( "TCP/IP - The Internet Protocol Stack")
TCP/IP - The Internet Protocol Stack17,95 €
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.