A Systems Analysis Approach for Business Optimization: Integrating Technology Development with Data Analytics and Marketing for GolfCask
GolfCask, a newly established technology-based start-up in Charlottesville, Virginia, is dedicated to cultivating a vibrant online community centered around the shared passions of golf, travel, and whiskey. Employing a systems analysis framework, this project leverages data-driven insights to refine performance indicators and enhance system efficiency within the online community. The strategic objectives, initially structured within an objective tree, prioritize establishing a sustainable and profitable business model, fostering strong community engagement, and attracting and retaining members. A key component involves designing, validating, and deploying an innovative recommendation system to match user profiles with customized whiskey suggestions. Additional tactics in marketing and data processing are implemented and guided by data analytics and visualization tools to strengthen the technology development and enhance user engagement. Research on user acceptance testing and data integration supplies further insight into developing a user-centric design. Incorporating feedback loops and continuous data analytics refines system outputs, ensuring the recommendations and marketing strategies align with user preferences and business objectives. Integrating a comprehensive system analysis with personalized recommendations and marketing strategies, this project seeks to evaluate the effectiveness of these approaches and provide actionable recommendations for GolfCask’s future technical and business developments.
Authors
- Carwyn Hooper (ORCID: https://orcid.org/0000-0001-5147-3842)
- William T. Scherer (ORCID: https://orcid.org/0000-0002-1069-7898)
- Matthew W. Burkett (ORCID: https://orcid.org/0000-0002-3156-0962)
- Matthew Tan (ORCID: https://orcid.org/0000-0002-2872-8314)
- A. G. McCall
- E. Marshall Johnson (ORCID: https://orcid.org/0009-0004-7007-3798)
- Leslie Hyman
- Shreya Malani
Institutions
- University of Virginia (US)
Publication Details
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1109/sieds65500.2025.11021191
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00