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4 C’s of Big Data Process

Thursday, April 26, 2012

Nowadays, there are two topics that I'm very passionate about. The first, the fact that spring is finally here and it's time to dust off my clubs to take in my few first few rounds of golf. The second topic that I’m currently passionate about is the research I've been doing around the connection between big data and big process.

While most enterprise architects are familiar with 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.”

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 C’s” of:

1.Customers. You would have to be hiding under a rock not to see that improving customer experience is a top priority for business and IT executives. However, in order to improve customer experience, business and IT leaders must first mine oceans of operational data to pinpoint exactly what must be done to improve the customer experience and underlying business processes.

2.Chaos. Enterprise architects and business process professionals need to come to terms with the fact that today’s business processes are not as neat, tidy, and structured as we’ve been led to believe during 20th Century. Today’s business processes are chaotic and require an understanding of the relationships between process and data in order to drive better business outcomes.

3.Context. This term is quickly becoming the most overused buzzword within IT and business circles. However overused or misused, enterprise architects and business process professionals must begin to build business and technology architectures that glean and intuit deeper meaning across the relationship of business events, operational data, and operational performance.4.Cloud. In our research we found many companies looking to push core business processes into hybrid on-premise/off-premise configurations. This means some parts of a particular value stream might live in the cloud, while other parts of the value stream might live on internal infrastructure. While this is not a new concept, we found that most companies exploring these hybrid configurations overlooked the need to maintain data relationships across a fragmented and splintered value stream.

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