Is your company suffering from 'big data paralysis?' Wondering when data became big data and exactly what opportunities your enterprise could take advantage of with the right strategy? Join HP Enterprise Services for a Twitter chat on Tuesday, March 19th from 12-1 p.m. CT. Come join the conversation by using the hashtag #HPESchat
In the Information Week Global CIO blog, Patrick Houston says that big is bad when it comes to data, questioning the appropriateness of the term big data. Houston highlights the risk of the term being taken literally by the not-so-technical folks. Big data will continue to spread with emerging associative terms like big data expert, big data technologies, etc. I also see other reactions to this term like the one in this post from Allison Watterson on What do you mean big data, little data is hard enough. Why has big data gained this broad adoption so fast?
Harvard Business Review blogger Thomas C Redman introduces a term -- Informationalization – in his post titled Integrate Data into Products, or Get Left Behind that focuses on a key element of the overall transformation program for an enterprise -- data. Data matters -- if you glean the valuable information from it with proper context. When rationalizing and transforming applications as part of an enterprise transformation program, the modernization strategy applied to a given application influences the manner in which the underlying data is processed -- it is migrated or archived or transformed or replicated -- all in the context of the set of applications being transformed. Redman's article suggests a more holistic approach to data during the transformation program pairing up with the rationalization of applications.
I recently shared my thoughts on the various triggers for Industry Cloud Computing. There are certain synergies that apply across multiple industries thanks to the powerful combination of Cloud and Big Data, which opens up a wealth of data for context-specific analysis. In this post, I am providing a synopsis of the top 5 synergies that can be realized across these three domains: Big Data, Cloud and Analytics. Subsequently, I plan on providing more context by applying them to various industries in upcoming posts.
After my post on whether the Application Transformation is a journey or a destination, I came across HP Fellow Kas Kasravi's article on Analytics and Legacy Applications -- Friends or Foes? I figured it would be an interesting exercise to see what Applications Transformation would be like from the standpoint of Information Analytics. Kas’s article prompted me to expand my suggestions in the context of Information Analytics: