Business Intelligence trends, innovation, feedback of our R&D project. Serious matters like Big Data, GPU, Datavisualization! OW2 Con'. Altic presentation;

1. Open Source Business Intelligence Where is the innovation ? Marc Sallières, Altic A concrete point on Innovation in Open Source Business Intelligence : trends, technologies and feedbacks from our first project : Big Data, GPU, Datavizualisation with Talend, SpagoBI and Palo.

3. Séminaire Aristote « Big Data : how to take advantage of this opportunity? »

5. Visual Decision Forum's 11 & Business Datavis Think Tanks

6. Data Viz Challenge winner : visualize your taxes (USA)

7. Concours BIME : Proposez le meilleur tableau de bord !

9. Use an external search engine to index Data for Business Intelligence

11. Palo Mobile for iOS & Android

14. Seek simplicity and interactivity for the end user while keeping the relevance and reliability of decision-making system.

15. Devise flexible and quickly deployable architectures to answer constantly evolving needs and data sources.

17. Datavisualization

18. Semantic Web Assembling alternative and innovative solutions to meet our customers'needs. Piece together the best components and applications. Been present and working at the Open Data Camp, Crunch My Data Camp , Dataviz etc

19. eFraud Box A ddress internet fraud (detection engine, investigative tools). EfraudBox is an ANR project in collaboration with the GIE Cartes Bancaires, Thales, KXEN, Paris laboratories LIP6, LIP13 and LIPN, the National Gendarmerie and the Judicial Police. Technologies used by Altic: Hadoop, Mahout, Rhipe, SpagoBI, Palo GPU..

20. DataWarehouse Legacy : ERP, CRM, SCM, HR

22. Dynamic Journey : analyse and predicte road traffic

23. New York Time : conversion of all its archive in pdf

24. Visa : Fraud analysis

25. Yahoo : search engine, anti-spam … .

27. Loading of 43 million lines (GIE data for 1 month)

28. Presentation on Palo dashboard in a cube with 120 million lines

29. Viisualization with te right tools

31. Open Source is ready

32. Now let's explain to customers when and why use these technologies