𝔖 Bobbio Scriptorium
✦   LIBER   ✦

[Lecture Notes in Business Information Processing] Business Intelligence Volume 96 || Data Warehouses: Next Challenges

✍ Scribed by Aufaure, Marie-Aude; Zimányi, Esteban


Book ID
120442964
Publisher
Springer Berlin Heidelberg
Year
2012
Tongue
English
Weight
766 KB
Edition
3
Category
Article
ISBN
3642273580

No coin nor oath required. For personal study only.

✦ Synopsis


Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications.   The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making.  Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.


📜 SIMILAR VOLUMES


[Lecture Notes in Business Information P
✍ Aufaure, Marie-Aude; Zimányi, Esteban 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 501 KB

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena an

[Lecture Notes in Business Information P
✍ Aufaure, Marie-Aude; Zimányi, Esteban 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 411 KB

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena an

[Lecture Notes in Business Information P
✍ Aufaure, Marie-Aude; Zimányi, Esteban 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 762 KB

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena an

[Lecture Notes in Business Information P
✍ Aufaure, Marie-Aude; Zimányi, Esteban 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 515 KB

To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and th

[Lecture Notes in Business Information P
✍ Aufaure, Marie-Aude; Zimányi, Esteban 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 679 KB

To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and th