An open platform for digital economy

Some days ago I had the opportunity to give a lesson at ALMA Graduate School in Bologna (Italy), within the Master in Business Administration of the Information Systems course by prof. Danilo Montesi. It’s an annual appointment for me, in which I’m honoured to participate as a testimonial.

This is a real opportunity to launch new messages, encourage new ideas, and keep in touch with the next generation of managers and entrepreneurs.… Read the rest

Radical Open Source – Economics

A long time ago I wrote my first post on Radical Openness.

I promised to post something more about the Economics lying behind the Radical Openness approach, even though it is  quite a challenge for me. As both an industrial IT manager and a representative of open source communities, when dealing with open source projects I’m on the borderline between looking for their prompt success – based also on  monetary returns to grant their sustainability – and maintaining a radical open approach.… Read the rest

SpagoBI Stories – Let’s start afresh

Some time ago I published a post on this blog focused on what a story is in open source.

As for SpagoBI, its stories are  mainly customers’ references.

Let’s start afresh

I’m looking for your stories now.

I’m going to write a composite SpagoBI story. I don’t know its final format yet: it depends on what you’ll provide. You can contribute in different ways: comment this post, leave your comment in SpagoBI group on Linkedin, tweet #tellyourSpagoBIstory, e-mail me.… Read the rest

What’s a Big Data platform?

Actually, I’ve no complete answer to this question. However I know that a Big Data platform should help us to address emerging and future – partially unknown – needs, as well as to start solving present issues.

First of all we need to get a clear insight into the big data context. This blog may be helpful to this purpose.

Shaku Atre sets up a framework of rules to help define a Big Data System: the Top Ten Rules of Big Data Systems.… Read the rest

Value is the most meaningful V for Big Data

How many Vs do you need to describe Big Data dimensions?

12 years ago Doug Laney listed  the 3 dimensions of Data management in a Gartner (then Meta Group) research: Volume, Variety, Velocity.

Nowadays, the evolution of Data Management also refers to Big Data. In order to describe it, Gartner added a C to the 3Vs: Volume, Variety, Velocity, Complexity.

Forrester added Variability. Is Variability like Complexity?

MkKinsey Glogal Institute added Value.… Read the rest