You may not know it, but it’s out there. Lurking in the dark, proliferating across the network and throughout data centers. We’re talking about Shadow IT – informal and sometimes unsanctioned applications and devices used in the workplace, such as personal iPads or cloud applications. This trend has widely been criticized for taking power out of the IT team’s hands, sapping bandwidth, creating security holes, and increasing the potential for a data breach. And while much of this is true, Shadow IT isn’t going away anytime soon – as it’s widely being ingrained in everyday employee workloads. It’s time for the IT team to fully understand this trend and design a strategy to effectively leverage it for competitive advantage.
Across the industry, many rely on the strategic advice and insights of research and advisory firm Gartner, Inc. to navigate the most complex challenges in IT and keep up-to-date on industry trends. Nowhere is their market foreshadowing greater than in the firm’s annual “Hype Cycle” series. Tracking everything from Cloud and Business Analytics to the Internet of Things (IoT), Gartner’s Hype Cycle reports reflect trends around the maturity, adoption and social application of key technologies. And while it actively keeps tabs on “what’s hot”, sometimes there’s confusion over trends no longer represented on the cycle. This is currently the case with their tracking of Big Data and why it’s absent from this year’s Hype Cycle.
Ten years ago, Hurricane Katrina brought its 174 mph winds to New Orleans – submerging four-fifths of the City under water. With $105 billion in Federal money sought for repairs and reconstruction, it was easily the costliest natural disaster in US history. Not surprisingly, its wide-ranging effect across transportation, local businesses, and corporate data centers is still being felt a decade later. And as another hurricane season is upon us, there are certainly lessons to be learned to prepare for what’s next.
Remember the phrase, “If it ‘ain’t broke, don’t fix it?” For years, it’s been used to warn against tinkering with a good thing. After all, if the process is running smoothly, there’s no need to make adjustments. And while this conventional wisdom would normally ring true, what about problems you can’t see? Any process – no matter how seamless or integrated – always has the potential for failure. The trick is to predict and prevent downtime before it occurs. For many, Predictive Asset Maintenance is the answer. And the time is now to get on board.
No one likes debt. It causes anxiety, distracts from daily tasks, and just makes life more complicated. The same goes for IT debt, or the increase in cost for changing software over time. With challenges ranging from configuration management and design to quality and platform experience, it’s often characterized by inflexible organizations with a range of highly complex groups and project leads. These teams face longer development cycles and slower product delivery. But in the competitive business environment, there’s no time to waste. It’s now more important than ever for companies to focus on solving these IT debt issues –before it’s too late.
This is part of our Walk Me to the Car series. Be sure to look at a few of our other topics such as “What’s the Big Deal with Agile Software Development?”
Welcome back to the “Walk Me to the Car” blog series, a power-packed set of questions & answers that quickly addresses what busy business executives need to know about pressing technology issues. Today’s topic: Why You Need a Big Data Strategy? Here goes…
First, a quick definition of Big Data. This may seem unnecessary, given how much the topic has been discussed, but it seems in so many cases that the level of hype has obscured what the phrase actually means. Big Data is a broad term used to describe the vast and growing amount of information businesses can utilize for decision making and business insights.
Challenged by Big Data? Ask the Experts
Data is everywhere – from customer experience metrics and financial analytics to medical records and marketing information. The digital universe is exploding, with data flooding into organizations at unprecedented speeds. In the past, most information was easily translatable into databases for analysis. But today value also comes from unstructured information, which doesn’t fit very neatly into this format. This text heavy structure includes such things as e-mail, online shopping data, instant messages, and social media – much of which is often necessary to gain competitive advantage.
Most IT managers understand the value of Big Data, but many have little insight how to use it effectively. Rapidly becoming the best source for discovery and analysis of data collected from every traditional and digital source, IDC believes the Big Data market will reach $125 billion this year.