There’s a lot of talk right now about the Internet of Things and how it’s likely the prime catalyst for the digital transformation of organizations over the next few years. Billions of sensors, and devices with sensors, all generating data in a hyper-connected world where it can be easily shared or transmitted – what could possibly go wrong?
In 2010 I made a decision to start to volunteer my time twice a year(around 18 days) at the Waldpiraten Camp. The camp, funded entirely via charity (feel free to donate if you want to – it is a great cause), provides the opportunity for children, and their siblings, with Cancer in Germany to break away from the everyday challenges of dealing with Cancer and to do something different. It also gives parents a chance to relax knowing their children are in good care.
The motivations for doing this were many. I could never have imagined how it would change my outlook on life, broaden my horizons and teach me valuable lessons I could use professionally as well. There is no doubt that volunteering has made me a more rounded person and reenforced things that might seem obvious but which are easily forgotton. Here are four leadership lessons I (re)learnt along the way I carry forwards as a colleague and manager but also personally.
It’s time. The first of the big data V’s, volume, seems to be coming under control technology wise, even if that technology has not been implemented everywhere. Prices of disks and memory are tumbling and the introduction of technologies, such as Hadoop, are making vast amounts of data cheap to store.
On top of that, numerous technologies have made it easier to process and manage that massive volume of data. In short, the technologies and tools organizations need to deal with the problem of volume are now readily available.
Just when it seemed we could all take a small break from the big data assault on our organizations, since now we can store and process massive amounts of data, the second V, velocity, is gaining in importance – and most organizations are not ready.
Is the future of analytics within your enterprise architecture a rapidly changing agile innovation platform (Lab), separated from operations and broad enterprise audience usage, alongside a consistently slowly changing enterprise analytics platform (factory) that supports operations and a broad enterprise audience? That is the question this blog digs into?
This is an important IT topic at the moment as working out how innovate and modernize at the same time is one of the biggest challenges organizations are facing right now. In the past this has been like changing to new wings while flying the plane which has always been slow and risky.