International Workshop on Open Business Intelligence Systems
SITIS 2018 - The 14th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS
26-29 November 2018 - Las Palmas de Gran Canaria, Spain
Scope of the Workshop
Decision-making is a crucial, yet challenging mission in enterprise management. It is still made based on a reactive approaches rather than on facts and proactive approaches. This is often due to underprovided in data, unknown correlation between data, and goals, conflicting goals and weak defined strategy. Enterprise success depends on fast and well-defined decisions taken by relevant policy makers, and business actors in their specific area. Also, traditional Business Intelligence is built reposes on so-called conventional data warehouses that not take into account structured or unstructured data such as texts and graphs, nor quickly incoming data, thus inefficiently supporting real-time BI.
Simultaneously, with the emergence of big data-related technologies and the diffusion of data mining and machine learning, new prospects are built-up for analytical and decision-support uses. The increase of structured and unstructured data, the Internet of things, crowdsourcing or social media, coming in huge volumes, is indeed a new opportunity for BI and sparkles new research areas in business intelligent systems.
OBIS can be seen as a collection of decision support methodologies, technologies and tools for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. Business Intelligence is currently reinventing itself in a time of technological emerging big data make it possible to explore new opportunities that will revolutionize business intelligence. From there to completely revolutionize business intelligence, and data warehouse based decision support, the Hadoop (development environment) is an excellent complement to such systems. Indeed, the limitations of traditional BI architectures are beginning to be affected, and new applications can be met: the use of unstructured data, sensor data, social media, machine learning and crowd sourcing, huge data volumes to be managed with the enterprise information system integration. The intelligence has always been seen as a separate element of the enterprise information system that is changing with the emergence of Big Data.
The aim of this workshop is to review the concept of OBIS as an open innovation strategy and address the importance of them in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI systems in organizations.
Topics for the workshop include, but are not limited to:
• Intelligent decision support systems
• Crowdsourcing systems and applications
• Social media analytics
• Supply chain analytics
• Transportation data flow management
• Healthcare and life sciences applications
• Distributed environments: Hadoop, Spark...
• Big data engineering: virtualization, elasticity, distributed computing, big data frameworks
• Marketing analytics
• Predictive analytics/forecasting
• Data web and text mining, data mining, optimisation, machine learning
• Big data in business performance management
• Innovations and Data analytics
• Big data inenterprise/government management models and practices
• Business analytics
Submission deadline: September 22, 2018
Acceptance/Reject notification: October 21, 2018
Camera-ready: October 28, 2018
Author Registration: October 31, 2018
Each submission should be at most 8 pages in total including bibliography and well-marked appendices and must follow the IEEE double columns publication format.
You can download the IEEE conference templates - Latex and MS Word A4 - at the following URL:
Paper submission will only be online via: Easy Chair.
Only pdf files will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits.
All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by at least two reviewers. The organizers will examine the reviews and make final paper selections.
All the papers accepted for the workshop will be included in the SITIS conference proceedings, published by IEEE Computer Society. Content will be submitted to the indexing companies (Scopus, DBLP, etc.) as in previous conference editions. The conference proceedings will be available at the conference.
At least one author of each accepted paper must register for the workshop. Workshop registration fee is determined by SITIS. A single registration for the workshop or the conference allows attending both events.
Abdelaziz ELFAZZIKI, Cadi Ayyad University, Morocco
Mohamed SADGAL, Cadi Ayyad University, Morocco
Zahi Jarir, Cadi Ayyad University, Morocco
Ernesto Damiani, Milan University, Italy
Kokou Yetongnon, Bourgogne University, France
Abdelaziz EL Fazziki, Cadi Ayyad University, Morocco
Mohammed Sadgal, Cadi Ayyad University, Morocco
Zahi Jarir, Cadi Ayyad University, Morocco
Djamel Benslimane, Lyon1 University, France
Karim Baina, ENSIAS, Université Mohamed V, Morocco
Richard Chbeir, Bourgogne University, France
Hasna ElAlaoui ElAbdallaoui, Cadi Ayyad University, Morocco
Fatima Zohra Ennaji, Cadi Ayyad University, Morocco