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Kai Wähner (Twitter: @KaiWaehner, Blog: www.kai-waehner.de/blog) is an IT-Consultant in the Java EE, SOA, Cloud Computing and Big Data world. In his real life, he lives in Erlangen, Germany and works for TIBCO (www.tibco.com). Besides solving huge integration problems for large companies, Kai writes articles for magazines and speaks at international IT conferences such as JavaOne. Feel free to contact him via Twitter, LinkedIn or Email. Kai is a DZone MVB and is not an employee of DZone and has posted 48 posts at DZone. You can read more from them at their website. View Full User Profile

How to Create intelligent Business Processes Thanks to Big Data

06.15.2013
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I had a talk at EAM / BPM conference in London about “How to create intelligent Business Processes thanks to Big Data“. I just want to share the slides with you.

Content

BPM is established, tools are stable, many companies use it successfully. However, today’s business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data.  Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!

This session explains how to achieve intelligent business processes, which use big data to improve performance and outcomes. A live demo shows how big data can be integrated into business processes easily – just with open source tooling. In the end, the audience will understand why BPM needs big data to achieve intelligent business processes.

Slides

http://www.slideshare.net/KaiWaehner/how-to-create-intelligent-business-processes-thanks-to-big-data-bpm-apache-hadoop-talend-open-source 


As always, I appreciate any kind of feedback via comment, email, Twitter, or social networks (LinkedIn, Xing). Thanks.

Best regards,

Kai Wähner (Twitter: @KaiWaehner)

Published at DZone with permission of Kai Wähner, author and DZone MVB.

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