Category: Simplicient Controlling – advanced financial management
The World is Full of Noise
Let’s face it – almost all of us succumbed to this temptation: we could do the toughest, most important task or we could break all of them into pieces (“eating the elephant” as the management gurus say) and start chewing them. Or just give in to the boss’ latest request and answer his (sometimes lazy) easy to dig emails. In […]
Simplicient Financial Controlling – 1 – Laying the Ground
Let us face it – finance is not easy. Whoever tells you that the commercial financial management is a steady progression job, where one gets well trained and well paid over a reasonable number of career years, is trying to lure you into something. The finance specialism requires almost a decade of training (if you count a faculty/college degree plus […]
Why Do Systems (Tend To) Fail on Monday
You wake up an 06:30, after a full relaxing (but somehow late ending) Sunday. You rush into your car and start commuting. The traffic lights system is annoyingly slow, delaying your usually course to the office. Some traffic lights are broken. No way you could shop for a drink at your favorite coffee shop – the queues are way too […]
First Task to Accomplish on Monday Morning
Imagine it is 09:00 AM on a Monday morning. You just landed in your office, supercharged by the Bucks or Republic or another brand coffee. You already had two phone calls with a customer (internal or external). Your task waiting list is longer than the Bible’s first chapter and you do not (want to) know where to begin. So what […]
Big Data and Hadoop
Accidentally I came over recently an Apache server technology for big data centralization and analysis. Hadoop is a mix and match technology, open source, which allows companies to write their own big data analytical tools in a quick and efficient manner. What puzzled me mostly was the adoption of this type of open-source solution. You would think that the serious […]
Book Review – “Big Data @ Work” by Thomas Davenport
It is quite rare that somebody admits they were wrong about a major trend in IT which was overseen in the past. Quite rare. Fortunately, Thomas Davenport is not that kind of person – on the contrary. In the preface of his new book (“Big Data At Work) published by Harvard Business Review Press, he actually admits that he initially […]