Call for Papers | BISA-2027

BISA-2027 invites researchers, academicians, industry professionals and practitioners to submit original contributions addressing theoretical advances, methodological developments and practical applications in Business Intelligence and Smart Analytics.

Submissions are welcome across, but not limited to, the conference themes covering Business Intelligence, Artificial Intelligence, Generative AI, Data Science, Big Data, Decision Intelligence, Predictive Analytics, Cloud Computing, Data Engineering, Industry 4.0/5.0, Responsible AI and intelligent business applications.

The conference particularly welcomes interdisciplinary research addressing real-world challenges through data-driven and AI-enabled approaches.

Business Intelligence & Decision Intelligence

Business Intelligence systems and architectures
Decision Support Systems
Executive Information Systems
Decision Intelligence
Enterprise intelligence
Strategic business analytics
Intelligent decision-making
BI for organizational performance
BI maturity models
Self-service Business Intelligence
Real-time Business Intelligence
Augmented Business Intelligence

Artificial Intelligence & Intelligent Analytics

AI-driven business analytics
Generative AI for business
Large Language Models for analytics
AI-assisted decision-making
Machine Learning for business intelligence
Deep Learning applications
Explainable AI
Responsible and trustworthy AI
AI agents for business processes
Predictive and prescriptive AI
Human-AI collaboration

Data Analytics & Data Science

Predictive analytics
Prescriptive analytics
Descriptive and diagnostic analytics
Statistical analytics
Data mining
Knowledge discovery
Pattern recognition
Business forecasting
Anomaly detection
Customer analytics
Text and sentiment analytics
Social media analytics

Big Data, Data Engineering & Cloud Analytics

Big Data analytics
Data lakes and data warehouses
Lakehouse architectures
Data engineering
Data pipelines
ETL/ELT
Cloud-based analytics
Distributed analytics
Edge analytics
Real-time and streaming analytics
Data integration
Data quality and management

Smart Business & Industry Applications

Smart enterprises
Smart manufacturing
Industry 4.0/5.0
Supply-chain intelligence
Retail analytics
Financial analytics
Marketing intelligence
Healthcare analytics
Education analytics
Tourism and hospitality analytics
Smart city analytics
Sustainability analytics
Human resource analytics

Business Analytics & Management

Marketing analytics
Financial intelligence
Risk analytics
HR analytics
Customer relationship analytics
Operations analytics
Supply-chain analytics
Competitive intelligence
Innovation analytics
Project analytics
Performance management
ESG and sustainability analytics

Emerging Technologies for Intelligent Business

Internet of Things and business analytics
Blockchain and business intelligence
Digital twins
Knowledge graphs
Semantic analytics
RAG and enterprise knowledge systems
Edge AI
Federated learning
Digital transformation
Intelligent automation
Robotic Process Automation
Metaverse and business applications

Data Governance, Security & Ethics

Data governance
Data privacy
Data security
Responsible analytics
Ethical AI
Algorithmic fairness
Explainability and transparency
Data provenance
Regulatory compliance
Cybersecurity analytics
Trustworthy data ecosystems

Proceedings & visibility

Publication & Indexing

All accepted, presented, and registered papers under this conference will be published in the Springer Smart Innovation, Systems and Technologies (SIST) Series, subject to the publisher’s editorial and production requirements.

Books in this series are indexed by:

DBLP
EI Compendex
INSPEC
Japan Science and Technology Agency (JST)
SCImago
Scopus
WTI AG
zbMATH

More information is available in the Submission Guidelines

Cover of the Springer Smart Innovation, Systems and Technologies series

Smart Innovation, Systems and Technologies

Q4Computer Science
(miscellaneous)

SJR 20250.16

SCImago Journal & Country Rank