Journey through Enterprise IT Services
In Journey through Enterprise IT Services, Nadhan, HP Distinguished Technologist, explores the IT Services industry, and discusses technology trends in simplified terms.

It takes all types of data to discover the gold mine in your enterprise

“Is your Big Data a gold mine or garbage dump,” asks Brian Weiss, VP, HP Autonomy in his Big Data session at HP Discover. Weiss explains that enterprises need to be able to look at all types of data with context to glean actionable, meaningful insight – even for a simple phone call. You can capture different data elements about the phone call like the date, time, duration etc. But what was the prevailing mindset during the conversation? Was the caller (think customer) angry? How about having a solution to look at both the structured metadata about the phone call as well as the unstructured sentiment. Voila: HPExploreCloud - A solution that can discover the gold mine in your enterprise.

HP Earth Insights – applying the New Style of IT to real life

Big Data is nothing without the support of analytics, asserted Michael Cavaretta, Predictive Analytics Leader, Ford Motor Company in a recent keynote. While this is true to individual enterprises across various industries, it is even more so in the largest enterprise of all – Planet Earth. Collection of all the data generated by ecological shifts in the environment and its subsequent analysis is a monumental task. So what can we do to help understand the complex environmental change of our planet’s accelerating biodiversity loss? Well, you need to look no further than HP Earth Insights, which applies the foundational tenets of the New Style of IT to one of the world’s most complex challenges – real life.

Analyze This: Big Data is insurance against losing a competitive edge

“Data is key to what we do,” says Barry Ralston, Assistant VP of Data Management at Infinity Insurance in his interview with Dana Gardner. Infinity, a billion-dollar property and casualty company, works with large volumes of data about customers, policies, payments, and etc. To retain a competitive edge in their industry sector, enterprises must proactively apply complex analytical techniques on data that matters. And they must do this quickly. This will protect them against unforeseen market downturns, such as consumers insuring themselves against unexpected calamities. So, where can enterprises get this insurance (of sorts) against the possibility of losing their competitive edge? Ralston's detailed explanation of Infinity’s solution suggests that the answer might be staring at us in the face — Hello Big Data! Let’s see how.

What it takes to make Big Data matter

The term “Big Data” has generated “big traffic” just by its usage across social media channels. Discussions around this term contribute directly to the very phenomenon that it represents. It even has a conference dedicated to serve its needs — the HP Vertica Big Data Conference! But, what does it really take to make Big Data matter? As mentioned in the abstract for the keynote session “Make Data Matter with HAVEn – HP’s Big Data Platform” … “it takes the right hardware, software, services, infrastructure, and business transformation consulting to make Big Data Matter.” Let’s see how.

Will Big Data be around 148 years from now?

148 years ago, in 1865, Sir Henry Furnese employed several techniques to realize financial gains from his portfolio of investments. That’s when “Business Intelligence” was referenced in a book published by D. Appleton and Company. On Page 210  it reads: “[Sir Henry Furnese] maintained a complete and perfect train of business intelligence.” So the term “Business Intelligence” is centuries old, but remains alive and kicking 148 years later. I wonder if, in the same vein, the term “Big Data” will have a similar life span? What will Big Data represent 148 years from now circa 2161?

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