Spending a summer break working the International Motor Show, I was privy to getting up close and personal with the many concept cars on display. Sleek lines, spectacular colors, racing stripes…everything you could want in a car. Until you popped the hood that is, and saw the cheap, far-from-powerful engine that can barely reach 15kmph underneath.
As the daughter of a car racing driver, I am proud to say I have never purchased a car without popping the hood and evaluating the engine that is responsible for getting me where I want to go. Unfortunately, I can’t say the same about technology. When it comes to analytics, how many of us have been guilty of buying the concept, and dismissing the need for the car?
Let me be very clear: I am a big fan of the concept. The concept is what shows us what’s possible, and inspires us to action. Without the concept, we might never strive to achieve more than what we already have. But at the end of the day, it’s just a concept.
What we want is an outcome. We want to get from A to B; from information to insight; from insight to action. And to do that, we need the whole car.
There are three key factors that need to be considered when implementing new analytical systems:
1. Is it Cloud Ready?
Whether you’re an organization that has already invested in the concept of Cloud, or one still dipping your toes in the water, there is no question where the market stands. With 70% of IT budget devoted to operations and maintenance, there is growing pressure to deliver greater insight to business groups with lower IT costs. Technology that leverages cloud deployment can help to improve efficiency and speed time to market, allowing you to do more with less.
2. Is it Data Ready?
As discussed in “Big Data, Big Deal“, the amount and diversity of data available to us is changing at a rapid pace, providing opportunity to derive valuable insight for business groups and change the way organizations perform. With digital content expected to rocket to 8 zettabytes by 2015, of which 90% is unstructured, the computing platform on which you derive insight into organizational performance must be able to support the volume, velocity and variety of data that is expected in years to come.
3. Is it Security Ready?
We now have the ability to analyze and predict incredibly intimate types of information such as the behavioral profile of an individual consumer. It is therefore critical that computing platforms containing your most precious data – that is about your products, customers and business partners – are secured to comply with regulatory guidelines, reduce risk of mis-use and protect identities. The average IT infrastructure is attacked nearly 60,000 times every day – you don’t want it to be your organization that is responsible for thieves getting access to personal information and profiles about your customers.
There is only one organization I know that delivers the best analytical software, tuned to perform with the best computing platforms, and ready to meet the analytical demands of tomorrow. Fortunately, the experts who spend their days with noses under the hood will be presenting at the Smarter Computing Launch this week so you, and I, can get a sneak peek at the best computing platforms the market has to offer. You can also join in the #ChatSC conversation on twitter kicking off October 4th at 1pm ET to get all your questions answered (while I’m fast asleep :D).
Have you a great concept? Time to find the car.