Analysts > Blogs > Category: Big Data; Advanced analytics; enterprise data warehouse; business intelligence (BI); analytics; Hadoop; data mining; predictive analytics; sentiment analysis; behavioral analytics; Asia Pacific
Blog Category: Big Data; Advanced analytics; enterprise data warehouse; business intelligence (BI); analytics; Hadoop; data mining; predictive analytics; sentiment analysis; behavioral analytics; Asia Pacific
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I've been spending the last few months doing research and a number of speaking engagements and webinars on the evolution of Big Data in Asia Pacific. What has become clear is that APAC organisations are struggling with the disruptive forces of big data - whether they have actually implemented it or not.
Disruptive technologies are often assumed to be disruptive because of the transformational benefits they might bring to those organisations that actually implement them. However, this research has highlighted that disruption exists simply because the concept exists. Whether the term relates to something physical or real (or not), it's still becoming disruptive to the organisation. We've seen this many times before - cloud computing, radio frequency identification tags (RFID), electronic market places - the list goes on.
How companies choose to cope with this disruption...or how they attempt to challenge it head-on...is particularly interesting. For some, it's a case of complete denial - "there's nothing new or different about this technology (or the problems that it's supposed to be solving)...so we don't need to do anything". For others it's a case of failing fast and pushing the bounds of what is, or what is not, possible. Whether Big Data is the underlying driving force or not, really doesn't matter. It's a catalyst for change that brings a change in thinking, a change in organisational priorities and a change in operational and project budget allocations.