Improving business intelligence speed and quality through the OODA concept
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Discovering Sentinel Rules for Business Intelligence
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Efficient discovery of generalized sentinel rules
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Using sentinel technology in the TARGIT BI suite
Proceedings of the VLDB Endowment
Implementing sentinels in the TARGIT BI suite
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
The meta-morphing model used in TARGIT BI suite
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
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In this presentation we present two different approaches to cloud based deployment of analytics and business intelligence, namely an analyst specialist platform and a social platform. We present lessons learnt when offering analysts a flexible platform for modeling and sharing, which has proven particularly useful in the analysis of large amounts of streaming unstructured data; referred to in industry as Big Data. Furthermore, we present lessons learnt when offering a social networking approach where users can friend, share, analyze, and discuss datasets. We discuss the trending behavior of the social platform and its current and potential game-changing impact on a whole industry as analytics shifts from being solemnly inside-out to embracing entire industries from the outside and in.