Most of us see a business application (say an HR system) and email or any other collaborative application like Sharepoint as totally separate systems, although we use both to get our work done. One reason could be that the two applications are used at different times for different purposes- for example; a company might see email as essential but not invest in an HR application until they reach a certain size.
Big data and related topics like the IOT (Internet of Things) are always big topics of interest in large forums. So it was the case in CeBIT 2016, Hannover which I was fortunate enough to attend. There were several talks on Big Data – Digital Disruption was the theme, and there was general consensus that Big data was here to stay and grow phenomenally. People were moving from basic reporting and visualization of data (Data discovery and understanding) to a phase where predictive analytics would rule. This was because of the huge strides made in the fields of Machine Learning and artificial Intelligence. One of the keynote speakers in CeBIT was Professor Nick Bostrom founding Director of the Future of Humanity Institute at Oxford. An extremely impressive speaker and futurist, I was blown away with the vision he had for the future. He spoke passionately that the time for Artificial Intelligence has finally arrived and what it means for society at large.
Lean six sigma methodologies focus on removing wasteful activities from processes. However, at times we need process activities that come in handy when the expected process is not followed or are essential for fraud prevention and/or regulation. During my recent trip to India I came across two such examples, which made me think about the importance of compliance, fraud detection and customer centric activities that correct process deviation. While these activities may not further process KPI’s, they are certainly necessary. As in everything, it is all about striking a balance. Add too many such activities and your process may not be “lean”, not having any may lead to issues in other related processes. Let me describe both these examples.
Airport Security:
A lot has been written about Big Data in the last few months. Most companies are trying to make sense of the large amount of data they have to serve as an input to both strategic and operational decisions. In this article, I’ll discuss a couple of reasons for the obvious link between BPM and Big Data and how they can co-exist with BPM implementations helping drive adoption of Big Data.
Most BPM platforms have built-in capabilities to collect process parameters and key process related data during process execution. Most also provide some form of rudimentary to sophisticated analysis of the data, perhaps not run time, (yet), but on a post facto basis.
Process owners use this data to gain insight into the process, for example:
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