by Angela Guess
Clay Richardson of Forrester Research recently argued that Big Data is useless without big process. He writes, “While most enterprise architects are familiar with the promise — and, unfortunately, the hype — of big data, very few are familiar with the newer concept of ‘big process.’ Forrester first coined this term back in August of 2011 to describe the shift we see in organizations moving from siloed approaches to BPM and process improvement to more holistic approaches that stitch all the pieces together to drive business transformation. Our working definition for big process is: Methods and techniques that provide a more holistic approach to process improvement and process transformation initiatives.”
Richardson continues, “As we pushed deeper into our big process research, we found that the relationship between big data and big process is crucial to driving real business value and improved business outcomes. Specifically, we found that the connection between big data and big process revolved around the ‘Four Cs’.” Those four Cs are customers, chaos, context, and cloud.
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