16 Technology Phrases That Would Have Sounded Crazy 25-30 Yrs Ago

16 Technology Phrases That Would Have Sounded Crazy 25-30 Yrs Ago

Have you ever actually listened to some of the phrases you speak on a daily basis? Clouds have been around since the dawn of time but if you would have said to someone in a diner/cafe 25-30 years ago that you were going to work from the cloud, they probably would have thought you were just joking about Lando Calrissian’s home in The Empire Strikes Back. (That’s Cloud City for all you non-Star Wars aficionados.)

So, with that obscure Star Wars reference out of the way, here’s a list of 16 technology phrases that would have sounded crazy had you uttered them 25-30 years ago.


  1. Are you going to be working from the Cloud?
  2. You can do What-if’s while surfing on your mobile.
  3. How many followers do we have?
  4. Our internet is down so we can’t watch TV.
  5. My book is running low. I’ll need to plug it in.
  6. Do you have a PayPal?
  7. Just Google it.
  8. Can we Skype in 30 minutes?
  9. Do you have Apple’s new Leopard?
  10. I wasn’t aware that Android released KitKat.
  11. How many gigs does your phone have?
  12. Who’s responsible for posting our company tweets?
  13. We need to increase our likes.
  14. I look forward to drones delivering from Amazon.
  15. We need to blog at least once a week.
  16. I’ve gone over my data.

Value of Big Data for Business Intelligence

Most of us are familiar with the 3 V’s of Big Data.  They are:

  1. VOLUME – how much overall data is there?
  2. VARIETY – what makes the data unique?
  3. VELOCITY – how often are new iterations of data required?

So, what is the 4th?
4.  VALUE – what does this add to my bottom line?


A recent Business Insider’s article by Marcello Ballve related big data, mobile, and the intersections between the two. “First, big data needs to be defined; Big data is most commonly defined as data sets that meet three attributes, known as the three “V’s”:  Volume, Variety, and Velocity.

But there is something more to it. “I like to say there is a fourth “V”; Value,” says Kip Jones, Vice President of Skyhook. In order for data to be meaningful at all, it needs to be captured and stored efficiently. Then, someone has to manage the data, analyze it, and extract value from it.

Data, big or not, doesn’t add up to anything worthwhile if it doesn’t have value to someone.


The value added from big data to mobile is the personalization of mobile services.

  • A person will ask, “Why is mobile important when it comes to big data?”
  • Mobile devices are constantly consuming and producing data.
  • How so?  We are always on the go.  Whether we’re on our smart phones, tablets or laptops, the mobile trend is not fading away.
  • Where is my ROI? My cost justification? What and where is addition to the bottom line? Candidly why does the business need to invest?
  • Personalization of mobile solutions. This enables the business to be confident in the execution of their strategy on a mobile basis.

Cognos Mobile BI Solutions

As the world continually moves faster and faster in regards to its thirst for actionable data, the potential ROI on cognos mobile BI solutions continues to grow. A recent IBM Institute for Business Values study delved into the world of “upward mobility” solutions. They divided their survey group into two sects; one being the top 14% defined as “Leaders” and the remaining 86% defined as “Others”. Of the top 14%’ers surveyed, on average, greater than 70% of those responded positively when asked about their ROI on BI solutions and their current mobile capabilities. For example, 70% of Leaders responded they are effective at integrating mobile solutions into their existing systems, and another 73% are able to see measurable ROI from mobile initiatives, while the remaining “Others” answered 40% and 34% respectively. What this trend is showing is that mobile solutions are becoming one of the defining integral factors in gauging success within the business intelligence realm. This is due to the continual exponential growth globally and the saturation we are seeing within the smart phone and tablet markets for the business community.

On the opposite side of this, in a recent article from “Enterprise Apps Today”, it was discussed how mobile BI solutions in business intelligence are still not satisfying users. Though with the massive popularity of mobile BI solutions, several recently released Gartner reports have indicated a growing dissatisfaction and poor performance with the bigger vendors compared to the smaller. Customers of the smaller vendors cite their extreme ease of use and implementation compared to their counterparts for SAP, Oracle, Microsoft, and IBM. These large vendors’ products are less customizable and more cumbersome during implementation, with integration being described as “not an attractive element”.

Either way one may look at this, it can be seen that mobile BI solutions are a growing wave of the future. Now it is up to the large vendor to roll out a product that satisfies this growing demand within the market.