Enhancing Big Data Analytics Capabilities: The Influence of Organisational Culture and Data-Driven Orientation

Blat, María Orero

doi:10.4995/thesis/10251/191788

Cited by 2 publications

(1 citation statement)

References 254 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Organisational culture and capabilities play a critical role in the success of big data analytics initiatives [38]- [40]. Fostering a data-centric culture is critical to utilising big data analytics effectively [41]. Investing in talent and expertise is critical to developing big data analytics (BDAC) capabilities.…”

Section: Discussionmentioning

confidence: 99%

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Akadji,

Dewantara

2024

WSIST

View full text Add to dashboard Cite

The Indonesian e-commerce sector has witnessed exponential growth in recent years, necessitating effective strategies for predicting product demand to meet consumer expectations and stay competitive. Leveraging big data analytics offers a promising solution to this challenge, allowing businesses to harness vast volumes of data to forecast demand accurately. This research explores the utilization of big data analysis for product demand prediction in Indonesian e-commerce through a qualitative analysis approach. Interviews with e-commerce executives, data scientists, and industry experts revealed key themes, including data quality and integration, analytical techniques and tools, and organizational culture and capability. Results highlight the challenges, opportunities, and best practices associated with leveraging big data analytics for demand prediction in Indonesian e-commerce, providing valuable insights for businesses striving to optimize their predictive capabilities and enhance decision-making processes in this dynamic and rapidly evolving market.

show abstract

Section: Discussionmentioning

confidence: 99%

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Akadji,

Dewantara

2024

WSIST

View full text Add to dashboard Cite

show abstract

Industry 4.0

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Logistics, Operations, and Management Science

View full text Add to dashboard Cite

The advent of Industry 4.0, characterized by the integration of digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves into the future trends and research directions that will shape the landscape of Industry 4.0 in the coming years. One prominent trend is the continued proliferation of the internet of things (IoT) and its convergence with artificial intelligence (AI). As IoT devices become more interconnected and intelligent, they will enable real-time data analysis, predictive maintenance, and adaptive manufacturing, fostering increased efficiency and cost-effectiveness across industries. Moreover, the rise of edge computing is set to redefine data processing and analytics. The deployment of powerful computing resources closer to the data source promises reduced latency and enhanced decision-making capabilities, particularly critical in applications like autonomous manufacturing and remote robotics.

show abstract

Enhancing Big Data Analytics Capabilities: The Influence of Organisational Culture and Data-Driven Orientation

Cited by 2 publications

References 254 publications

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Industry 4.0

Contact Info

Product

Resources

About