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The International Journal of Business Intelligence and Big Data Analytics (IJBBDA) is a peer-reviewed academic journal that focuses on cutting-edge research and innovative solutions in the areas of business intelligence and big data analytics. In this 2023 issue, the journal presents a collection of high-quality articles and case studies that explore various topics related to these fields.

The issue covers a range of topics including:

1. Data-driven decision-making: The use of big data analytics to make informed business decisions.

2. Machine learning and artificial intelligence: The application of AI and ML in business intelligence and data analytics.

3. Predictive analytics: The use of statistical and machine learning techniques to predict future outcomes based on historical data.

4. Data visualization and storytelling: The art of presenting complex data in a visually appealing and engaging manner.

5. Big data architecture and infrastructure: The design and implementation of scalable and reliable big data systems.

6. Business process optimization: The use of big data analytics to optimize business processes and improve operational efficiency.

The articles in this issue present a wealth of knowledge and practical insights that can help organizations make better use of their data assets. They showcase the latest advancements in the field of big data analytics and provide a comprehensive understanding of the challenges and opportunities that come with managing and analyzing large volumes of data.

The International Journal of Business Intelligence and Big Data Analytics (IJBBDA) is now accepting submissions for publication in 2019. IJBBDA is a peer-reviewed journal that publishes original research articles, review articles, and case studies in the areas of business intelligence and big data analytics.

IJBBDA welcomes research articles that explore the latest advances and applications of business intelligence and big data analytics in different industries and sectors. We are particularly interested in articles that address the following topics:

• Big Data Analytics for Business Performance Improvement
• Data Mining and Machine Learning for Business Intelligence
• Business Intelligence and Analytics in Healthcare
• Predictive Analytics and Business Forecasting
• Business Intelligence and Analytics in Finance and Banking
• Social Media Analytics and Business Decision Making
• Data Warehousing and Business Intelligence
• Business Intelligence and Analytics in Supply Chain Management
• Business Intelligence and Analytics in Marketing

Authors are encouraged to submit original, high-quality research articles that have not been published elsewhere. All articles will be peer-reviewed to ensure the highest standards of academic excellence.