1. Research in Business Analytics
February 2013
Contacts: Arnaud Quirin <aquirin@gradiant.org>
Héctor Cerezo <hcerezo@gradiant.org>
GALICIAN RESEARCH AND DEVELOPMENT CENTER IN ADVANCED TELECOMMUNICATIONS

2. Business Analytics in
Gradiant: an Overview
Key technologies
• Data/Graph mining
• Big Data / Business Intelligence
• Data network characterization/analysis
HW and SW Resources
• HPC resources (304 cores, 1.22 TBs RAM, including 8 virtualization and 2 GPU
servers)
Project participation
• National projects: AIBOT, CELTIC, SmartED
• International projects: LIFTGATE
IP & Technology Transfer
• Real-time data compression algorithm for in-memory databases (US pat. pend.
61566689)
• Scalable analytical frameworks (in-memory databases, Hadoop, Cascading, HBase)
25+ publications in international journals, conferences, ...
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3. Expertise in Data/Graph
Mining
Data/Graph mining
• This technology achieves useful insights in large and complex data collections
through the combination of pre-processing, transformation, modeling and
analysis techniques.
Application cases in Gradiant
• Satellite image classification of marine seaweeds for ecological conservation,
prediction of wind farms electrical supply, prediction and simulation models in
emergency departments.
• Discovering the relationships among scientific and industrial data for
technological surveys; user profiling, relationship and influence mining using
Social Media content.
http://www.mapofscience.
com/
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4. Expertise in Scalable Business
Intelligence
Big Data/NoSQL
• Big Data solutions address the problem of analyzing large datasets with efficient
scalable frameworks. This includes distributed NoSQL databases.
Business Intelligence (BI)
• BI solutions address the problem of processing past records of digital companies
to achieve insightful analytics.
• Gradiant has experience in main memory analytics, as well as in technologies to
visualize interactive analytics of aggregated business-generated content.
Application cases in Gradiant
• Gradiant participates in projects requiring fast-processing of Social Media
content (~4 million records/day). Storage in HBase and analysis with Hadoop
and Cascading.
• Gradiant owns in-memory algorithms for analytical databases (US pat. pend.
61566689), comparable to QlikView solutions.
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5. Expertise in Data Network
Analysis
Data network characterization/analysis
• Data network analytic solutions combining monitoring
and characterization of network operator traffic using
simulation and mathematical models.
• Gradiant has experience in projects with Vodafone.
Application cases in Gradiant
• Monitoring and traffic characterization of xDSL-
connected users in operator networks, leased link
performance analysis and dimensioning.
• Detection of saturation points in leased links using
indirect measures.
• Large Network simulation models (experience with ns3
and OMNeT++).
• Visualization of statistical data (d3.js and processing.js).
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6. HW and SW Resources
Hardware
• Storage (in cabinet), total 62 TBs
- HP M6612 2TB 6G SAS 7.2K 3.5in MDL HDD x 24
- HP M6625 600GB 6G SAS 10K 2.5in HDD x 24
• Servers, total 304 cores and 1.22 TBs RAM
- 1 x HP DL980 G7 Intel E7 2860 (80 cores, 512 GBs RAM)
- 2 x HP SL390 G Intel X5675 (24 cores, 192 GBs)
- 4 x HP DL380G7 Intel Performance (48 cores, 192 GBs)
- 2 x HP DL380G7 Intel Efficiency (24 cores, 96 GBs)
- 2 x HP DL385G7 AMD Performance (64 cores, 128 GBs)
- 2 x HP DL385G7 AMD Efficiency (64 cores, 128GBs)
• Cryptoprocessors
- 2 x Utimaco SE10 PCIe boards
Software
• Big Data platform
Hadoop/Hbase/Cascading
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7. Current Project Cases (I)
CELTIC: Strategical knowledge
gathered from business intelligence
technologies
• Spanish consortium, supported by
Innterconecta tech funds.
• Under contract, 2012-2014
• Partners: INDRA (leader), Elogia, SaecData,
Imaxin Software
BA Goals
• User profiling for marketing decision
support, design of customer influence
metrics relying on scalable efficient
frameworks.
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8. Current Project Cases (II)
SmartED: Intelligent management for
emergency health services
• Spanish consortium, supported by CDTI tech
fund.
• Under contract, 2011-2013
• Partners: Everis (leader), Arantia, Balidea
BA Goals
• Simulation of hospital emergency
departments, neural net-based prediction
models of patient arrivals.
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9. Current Project Cases (III)
AIBOT: Framework for the
integration of BSS/OSS systems
designed to market non-
telecommunication services through
telecommunication operators
• Spanish consortium, supported by
Innterconecta tech funds
• Under contract, 2012-2015
• Partners: Sivsa (leader), Discalis, Optare
BA Goals
• Root Case Analysis (RCA) algorithms in
the cloud to track incidence causes in
complex telco systems
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10. IP & Technology Transfer
Patent
• Real-time data compression algorithm for in-memory databases
(US pat. pend. 61566689)
Non patented IP
• Distributed framework to process large amounts of data
• Scalable framework for user profiling and relationship analysis
of social media data
• Prediction algorithms for hospital emergencies
• Indirect techniques to predict saturation in leased network lines
• Root Case Analysis (RCA) prediction algorithms to track
incidences in complex systems
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11. Dissemination
• P. Sendin-Raña, E. Rodriguez-Fernandez, F.J. Gonzalez-Castaño et al, “Web-oriented
business intelligence solution based on Associative Query Logic”, Software, Practice
and Experience, 40(9): 779-796 (2010).
• P. Sendín Raña, F. J. González Castaño, E. Pérez Barros, P. S. Rodríguez Hernández,
F. Gil Castiñeira, J, M. Pousada Carballo, "Improving the performance and
functionality of Mondrian open-source OLAP systems," Software, Practice &
Experience, 39(3): 279-298 (2009).
• A. Quirin, O. Cordon, V. P. Guerrero-Bote, B. Vargas-Quesada, F. Moya-Anegon; A
Quick MST-based Algorithm to Obtain Pathfinder Networks; Journal of the American
Society for Information Science and Technology, 59(12): 1912-1924 (2008).
• A. Quirin, O. Cordon, B. Vargas-Quesada, F. de Moya-Anegon; Graph-based Data
Mining: A New Tool for the Analysis and Comparison of Scientific Domains
Represented as Scientograms; Informetrics, 4(3): 291-312 (2010).
• E. Serrano, A. Quirin, J. Botia, O. Cordon; Debugging Complex Software Systems by
Means of Pathfinder Networks; Information Sciences, 180(5): 561-583 (2010).
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