Business processes are often executed without access to relevant data because technical challenges occur when trying to integrate big masses of data from different sources into the BPM engine. Companies miss a huge opportunity here! This session shows how to achieve intelligent business processes to improve performance and outcomes by integrating big data - just with open source tooling.
Target Audience: Architects, Developers, Project Leader, Manager, Decision Makers
Prerequisites: Basic knowledge in a programming language, databases, and BPM concepts
You will learn:
1) Learn how to create intelligent business processes
2) Learn why to combine BPM and Big Data
2) Learn how to combine BPM and Big Data
BPM is established, tools are stable, many companies use it successfully. However, today's business processes are based on “dumb” 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 - based on open source frameworks such as Apache Hadoop - shows how big data can be integrated into business processes easily. In the end, the audience will understand why big data needs BPM to improve data quality, and why BPM needs big data to achieve intelligent business processes.