4. Big data, characterized by vast and continually expanding volumes, plays a pivotal role in the marketing industry's
pursuit of enhancing supply chain efficiency. This study focuses on analyzing Tesco's utilization of big data,
examining its applications, development strategies, solutions, and addressing concerns related to data privacy.
(Source: forbes.com)
5. The project integrates Big Data into
marketing, employing data analytics to
facilitate various activities and roles using
advanced technologies (Bag, 2021).
This approach enhances execution and
delivery of system features, with a focus on
customer retention and other associated
functions.
Publication Trend of Big Data Analytics
Year
Number
of
Publications
6. • Enhancing Customer
Engagement
• Marketing Prediction Analytics
• Optimizing Stock Counting
( Tailoring tool selection to address internal
bottlenecks, streamlining processes, and ensuring
seamless marketing strategy execution )
• Data Sources
• Data Storage
• Data Mining,
• Data Analytics
• Data Visualization
• IBM Analytics Integration
• Harnessing the Power of
Hadoop
7. • Maximizing Impact with IBM Analytics
Leveraging IBM Analytics to enhance online
visibility, optimize digital strategies, and create
a more impactful online presence
2. Revamping In-Store Experience
Using IBM Analytics to improve in-store layouts,
elevate customer experience, and implement
data-driven insights for efficient retail space
utilization.
1.Data-Driven Price Optimization
Leveraging big data technologies for
dynamic pricing to boost organizational
margins.
2. Big Data's Impact on Food Industry
Recognizing its significance, food companies
invest 35.8 billion pounds for sustained
growth (Ncbi.nlm.nih.gov, 2023).
10. **Companies employing big data analytics must adhere to the General
Data Protection Regulation (GDPR) to mitigate cyber attacks and
hacking risks.**
The extensive data collected empowers SMEs and
large enterprises, fostering visibility and effective
customer recognition.
Adhering to data privacy regulations becomes
pivotal, aiding the industry in gaining retail
customer trust and ensuring a positive customer
experience (Bhattarai et al., 2019).
Data Statistic 2019
AND ROI
11.
12. The study concludes that the Marketing
industry stands to gain significantly from
adopting big data technologies. Focused
on applications, development, solutions,
and data privacy, it also underscores the
importance of data privacy regulations and
governance for maintaining legal
compliance within the organization.
Big Data Implementation Insights:
13. • De Vass, T., Shee, H. and Miah, S.J., 2021. IoT
in supply chain management: Opportunities
and challenges for businesses in early
industry 4.0 context. Operations and Supply
Chain Management: An International Journal,
14(2), pp.148-161.
• Ncbi.nlm.nih.gov, 2023. Application Research:
Big Data in Food Industry. Available at:
https://www.ncbi.nlm.nih.gov/pmc/articles/P
MC8467977/ [Accessed on: 26.11.2023]
• Urbinati, A., Bogers, M., Chiesa, V. and Frattini,
F., 2019. Creating and capturing value from
Big Data: A multiple-case study analysis of
provider companies. Technovation, 84, pp.21-
36.
• Bag, S., Pretorius, J.H.C., Gupta, S. and
Dwivedi, Y.K., 2021. Role of institutional
pressures and resources in the adoption of
big data analytics powered artificial
intelligence, sustainable manufacturing
practices and circular economy capabilities.
Technological Forecasting and Social
Change, 163, p.120420.
• Bhattarai, B.P., Paudyal, S., Luo, Y.,
Mohanpurkar, M., Cheung, K., Tonkoski, R.,
Hovsapian, R., Myers, K.S., Zhang, R., Zhao,
P. and Manic, M., 2019. Big data analytics in
smart grids: state‐of‐the‐art, challenges,
opportunities, and future directions. IET
Smart Grid, 2(2), pp.141-154.
• Wachter, S. and Mittelstadt, B., 2019.
A right to reasonable inferences: re-
thinking data protection law in the
age of big data and AI. Colum. Bus.
L. Rev., p.494.
• White, E.L., Thomasson, J.A.,
Auvermann, B., Kitchen, N.R.,
Pierson, L.S., Porter, D., Baillie, C.,
Hamann, H., Hoogenboom, G.,
Janzen, T. and Khosla, R., 2021.
Report from the
conference,‘identifying obstacles to
applying big data in agriculture’.
Precision Agriculture, 22, pp.306-
315.
