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:
- 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.
- 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.
- 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.
- 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.
As companies begin to ramp up their big data initiatives, we’re finding that leading enterprise architects also see the need to bring in the big process perspective. And even for organizations that might not be focused on big data quite yet, there is still the need to begin thinking from a big process perspective to better understand the relationships and impacts between operational data and business process performance.
What do you think? How important is it to your organization to make the connection between the data that lives across different packaged applications and systems to the broader end-to-end business process? How important is it to reconcile process improvement efforts with data improvement and business intelligence initiatives?
We will explore specific strategies and emerging best practices for connecting big data and big process initiatives during my Emerging Technologies session at Forrester’s upcoming Enterprise Architecture Forum in Las Vegas and Paris. Hope to see you there!
This blog originally appeared at Forrester Research.
John O'
When data is managed appropriately within the relevant processes in place, an organisation can both gain improved operational efficiency and respond in real-time to customer demands. From a risk management perspective, this can be vital in addressing security threats and will go a long way in avoiding breaches altogether. Managed effectively, Big Data can reveal patterns which can be profiled to predict behaviours and appropriate responses in areas that are likely to be at high risk from internal and external threats. It is all about gaining maximum visibility of the network and using that information to take control of the organisation, by adopting a business process excellence approach.
Importantly, cost-effective solutions are available which flexibly assimilate with existing infrastructures causing minimum disruption to the business. Solutions like Software AG's Terracotta enable businesses to benefit from their data-gathering by managing and automating the organisation's resulting responses and processes. Using in-memory technology can improve performance by up to one thousand times when compared to disk-based processing. These kinds of solutions ensure businesses are able to benefit from all that Big Data has to offer without the associated process headaches.