Welcome to
BDTBA-2024

International Conference on Big Data Technology & Business Analytics

About

Big data Technology and Business Analytics are trends that are positively impacting the business world. These include structured and unstructured data that flood organizations daily. Unstructured data constitute the majority of the world’s digital data and these include text files, web, and social media posts, emails, images, audio, movies, etc. The unstructured data cannot be managed in the traditional relational database management system (RDBMS). Therefore, data proliferation requires a rethinking of techniques for capturing, storing, and processing the data. This is the role big data has come to play. This paper, therefore, is aimed at increasing the attention of organizations and researchers to various applications and benefits of big data technology. The paper reviews and discusses, the recent trends, opportunities and pitfalls of big data and how it has enabled organizations to create successful business strategies and remain competitive, based on available literature. Furthermore, the review presents the various applications of big data and business analytics, data sources generated in these applications and their key characteristics. Finally, the review not only outlines the challenges for successful implementation of big data projects but also highlights the current open research directions of big data analytics that require further consideration. The reviewed areas of big data suggest that good management and manipulation of the large data sets using the techniques and tools of big data can deliver actionable insights that create business values.

Important Dates

Opening of Paper Submission site : 1st April 2024
Full Paper Submission 15th July, 2024
Notification of Acceptance 15th August, 2024
Camera Ready Submission: 31st August, 2024
Last Date of Registration: 31st August, 2024
Conference date: November 22nd-23rd, 2024

Topics to Be Covered

  • Big Data Applications
  • Big Data Management
  • Big data mining and analytics
  • Big data processing tools
  • Big data sharing
  • Big data systems and tools
  • Big Data Theory
  • Big Data Visualization
  • Business Forecasting
  • Business Intelligence
  • Business Mathematics
  • Collections Analytics
  • Customer Relationship Management
  • Decision making in social setting
  • Decision making under uncertainty
  • Decision making with multimedia
  • Decision sciences
  • Decision theory
  • Digital market design and operation
  • Distributed and federated datasets
  • Distributed file systems for big data
  • Electronic Commerce
  • Ethical Decision Making
  • Financial services analytics
  • Fraud Analytics
  • Fussy information processing
  • Group decision making and software
  • Informatics
  • Information Technology
  • Intelligent agents technologies
  • Intelligent organizations
  • Large data stream processing on cloud
  • Large incremental datasets on cloud
  • Marketing Analytics
  • Mathematical Optimization
  • Mathematics of decision sciences
  • Methods of decision making
  • Multiple criteria decision making
  • Multiple source data processing and integration
  • Network and social-graph analysis
  • Optimization
  • Performance measurement
  • Perspectives of decision making
  • Political decision making
  • Predictive Analysis
  • Pricing analytics
  • Privacy preserving on cloud
  • Public decision making
  • Revenue Management
  • Risk and credit analytics
  • Robust decision making
  • Scenario and sensitivity analysis
  • Security and privacy in big data
  • Sequential decision making
  • Simulation methods
  • Statistical decision
  • Styles of decision making
  • Supply chain analytics
  • System analysis and theory
  • Targeted marketing
  • Transportation analytics
  • Volume, velocity and variety of big data on cloud
  • Web-based decision making

Sponsored By

IDC, Bhubaneswar (India)
IRNet India