Wednesday, May 25, 2011

Change you can believe in

By: Rik Hoogenberg, chief executive officer

Be Informed’s case based approach in administrative processes, that are becoming more knowledge-intensive, allows organizations to boost efficiency, agility and customer intimacy. Organizations that do not postpone the inevitable and carefully plan an overhaul of their business processes with Be Informed profit most from these benefits. Yet many IT projects in large organizations fail. How to succeed in changing the way your organization works? It’s simpler than you might think.

First of all, working with Be Informed allows you to change the way you work. Considering that many administrative organizations have organized their work in overcomplicated systems, procedures and applications, this would seem a logical step, right? Then, make sure your transformation is done by people with a ‘can do’, solution oriented approach. This requires critical minds, looking for the simplest solutions. To give you an example; an administrative organization required an ID from citizens to perform certain actions. Many hours of discussions were spent on which type of ID would suffice: passport, drivers licence, or ID card. ID regulations as described in national law proved these discussions to be pointless; use what is needed, instead of what is currently implemented.

An important reason why many IT-projects in large organizations fail, is that traditionally all requirements, functionalities and so forth need to be exhaustively predescribed and, consequently, built. These projects take years, increasing the risk that the eventual outcome will be outdated upon implementation. Simply because too many changes will have taken place: in business, technology, society, et cetera. Also, many organizations fail to benefit from innovative technology by upholding the complicatedness of their systems and processes in new environments. With Be Informed, organizations don’t need to build systems or applications, we model our solutions based on a central business model, using a pragmatic approach that allows business users to see what they get, and reuse what is there already. Working with Be Informed means successful innovation by simplifying systems and processes.

We don’t ask the business users what they want, we interact with them on what they need to do their job. As car manufacturer Henry Ford once said: “If I had asked them what they wanted, they would have said faster horses”.

Within one or two months we present the first application showing the new way of working, discussing functional requirements with business users. This way, enthusiasm for new solutions is gained from the start of the project, which will prove helpful along the way in which an integrated approach, supported by a solution oriented project team consisting of experts from all corners of the organization will guarantee the organizations ability to embrace complexity for years to come.

Wednesday, May 11, 2011

What is fact-based, anyway?

By: Frank Buytendijk, chief marketing officer

After the series of articles on how Marx predicted the end of Google and Facebook (part 1, part 2, and part 3), I have just finished a new series of articles on the "analytical world". Again, this series has three parts.

In part 1, I argue that although "fact-based management" and "competing on analytics" both sound really cool, the concepts have some serious shortcomings. According to most philosophers, there is not much we can really know for sure. And analytics, as a model of the world, are removed even one step more from reality.

Part 2 discusses the practical consequences of this analysis, taking recent examples such as the outburst of the Eyjafjallajokull volcano in Iceland and the credit crunch. Both cases where people relied too much on analytical models. Part 2 also contains a critique on predictive analytics.

I do realize it is easy to criticize things, so if I do I should present an alternative view. This I have done in part 3, where I will introduce the concept of "messy analytics". We should pay more attention to factors that mess up the model, as they represent this nasty thing called reality. In fact, I propose to mess up models on purpose, just to see if they can handle what is often called "black swans". Messing up model so they become more precise may sound counterintuitive, but I am almost convinced you will agree with the logic I will present.