7 am. iPhone breaks the silence. Internet modems switch on. Six degrees outside. Foggy.
iPhone accompanies me to the bathroom. Email downloads. First communications. Fresh coffee, bread, two smartphones and a tablet on the breakfast table. Newspapers, traffic jams, parking lots, calendars, the first chats. The day has started.
8.7 billion things connected to the internet
Monday morning, 7:15 am. You are woken by your alarm clock. Not because you have set your alarm on Sunday. Your alarm checked your digital calendar. It also looked for traffic jams on your route to work, and adjusted your wake up time to the situation on the road. While you are going downstairs, you can already smell a delicious coffee aroma. Your coffee machine had started simultaneously with your alarm clock. Isn’t this a nice way to start your working week?
22 01 2014
Evolution of business intelligence
Ever since the beginning of Business Intelligence, people have been creating reports on how their company is doing. From these reports all kinds of information can be read, from stock to quality assurance, and from financial facts to production line specifics. As valuable as this information is, there is one fact that remains an issue. All this information is retrieved from data from the past. Basically, this means all these reports merely show what already happened.
23 05 2013
The current economic situation forces companies in all types of industries to cut costs. Some were left with no other choice than reducing their workforce or even shutting down facilities. Luckily, in many companies the cost reductions did not reach such dramatic proportions. Still, many of them are craving for opportunities to significantly lower their costs or improve their efficiency. One of these opportunities is improved Enterprise Asset Management (EAM). In this post, we discuss some challenges and trends in EAM that can create a lot of value for the companies that address them.
In a recent blog post on Big Data, we described the 3 main trends that are indispensable to turn the ever increasing amount of data into a benefit for your organization. The central topics in this post were in-memory computing, mobile applications and cloud computing.
However, these topics are only one part of the complete Big Data picture. In the latest issue of CxO magazine, Philippe Dendievel (Partner at Delaware Consulting) goes into detail and shares some key insights into this Big Data topic. Philippe makes a distinction between 3 main types of Big Data and points out why it has become such a hot topic nowadays. Furthermore, he reveals the greatest challenge for the future of Big Data.
Interested in what this challenge might be? Read the article here and find out.
We are living in an era where everybody has a personal viewpoint and is shouting it from the virtual rooftops. The web is literally exploding with them: on Twitter, Facebook, LinkedIn, Foursquare, all kinds of blogs and many … many more.
Some might find this ‘opinionization’ of our society cumbersome, but it opens up a world of potential in a corporate environment. What if we could harvest these public thoughts into something a company could use? What if we could use them to predict the future of a brand, product, service, consumer behavior or even an entire industry? Talk about real added value!
We are all continuously generating data. I am right now, by writing this blogpost, by putting the link on Twitter and by sharing it on LinkedIn. You did only a second ago, just by clicking it. More and more of this generated data is getting captured; since 3G, iPhone and iPad entered our lives, we have become walking content creators.
The same goes for the corporate world: there has been an explosive boom of data in the last couple of years. Wal-Mart, for example, handles more than 1 million customer transactions every hour. Their databases contain 167 times the information that is contained in all the books in the US Library of Congress. All companies, from the very smallest to those of Wal-Mart-like size, will be confronted with the – as exciting as challenging – Big Data phenomenon. If not now, then very soon.