Posts by Philippe André

Philippe AndréAbout Philippe André

Philippe André is an expert within Business and IS architecture, Service Architecture, System modelling and Soil science. Philippe is a Certified Enterprise Architect (L4) and TOGAF9 certified. Philippe's mission is to help clients to make the best decision as far as business and IT alignment is concerned. More on Philippe.

Phone number: +33 6 81 22 19 73


IoT: Connect Physical and Digital Worlds for New Business Models

(This article is a review and summary of different white papers, books and courses referenced in the bibliography section, focusing on business models and some examples of them.)

The Internet of Things (IoT) represents the vision that every object and location in the physical world can become part of the Internet: Objects and locations are generally equipped with network, storage and computing capacities and so they become smart objects that can take in information about their environment and communicate with the Internet and other smart objects. So, smart things are hybrids, composed of [Read more…]

The Route to the Software-defined Datacenter

shutterstock_184875824-1728x800_cAfter a few years of definition, proof of concept and operational validation, virtualization and hyper convergence technologies are now mature enough to invest in the data center.

It is now the passage to the SDx (Software Defined X technologies) which characterizes them, to gain flexibility, agility and competitiveness.

Welcome to the dawn of a new infrastructure world, governed by the software!

Virtualize the network: remove the inconsistency

The potential of a Software Defined Network (SDN) lies in its ability to facilitate [Read more…]

Hyper-Convergence in Data Center: Promises and Reality

hyper-convergenceWhat can be more addictive than ‘access without constraint’ to information? However, new storage and computing approaches such as real time analytics, data mining, and stream processing are trending topics today. So, what we cannot, eventually, miss is: The link between all these elements – an essential ‘cement’ that allows to orchestrate these different components of infrastructure in the data center.


  • What about giving access to information without storage?
  • What to do with a volume of data without being able to access it easily?
  • What would be the value if it takes an eternity to gain access to the data/information in the above two situations?

Therefore, we must  CONVERGE these pieces to achieve a coherent picture and deliver value. However, convergence is not enough. We need HYPER-CONVERGENCE! What does it mean? [Read more…]

Data Mining: How to use business data to improve business processes?

Yet another usage of data mining (YAUDM)

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The term ‘Big Data’ has been hyped in the recent years and Data Mining techniques are now being used in many areas. This leads to a growing demand for Data Scientists, who can turn data into value. Data Science aims to use the different available data sources to answer four questions:

  • What happened? -> Report
  • Why did it happen? -> Diagnose
  • What will happen? -> Predict
  • What is the best that can happen? -> Recommend

These four questions are key to understand and improve business processes. Data mining techniques applied to business process analysis (aka process mining) aims to discover, monitor and improve real processes by extracting knowledge from data readily available in today’s information systems. The goal is not to analyze data, but to improve processes for your business. [Read more…]

Big Data & Analytics in 2015: Development of open innovation platform to drive business results

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In 2014, Big Data & Analytics promised to bring a lot of interest among organizations for this topic. And in 2015, Big Data & Analytics technologies and techniques continue to spread within public and private organizations that are getting into a phase of massive experimentation. Digitalization covers all the data while the economic crisis encourages them to turn most part of the data into high value business information.

Organization enter an experimental phase, often without waiting to have all strategic, organizational and technological questions, raised by Big Data, solved. Organizations look for empirical yet relevant use cases; so that, even if they fail, precious knowledge can be drawn and recorded. [Read more…]

Google Cars to cause a Paradigm Shift in the Automotive Industry?

google carAt the last CES held in Las Vegas, Google introduced solutions that could revolutionize all industries related to mobility.

Google has a huge lead over other automakers with its Google car. First, the reliability of a driving-related software / technology can only be established after it covers millions of kilometers. And, in 2013, Google had already covered a million miles on American roads with its fleet of 25 autonomous cars, much before all other constructors. The second key advantage and differentiator, in addition to embedded sensors, is Google’s ability to provide a system of mapping in 3D, allowing a very accurate identification of car position (with GPS 2D, the uncertainty is 7 meters, which is insufficient in terms of secure driving). Google Maps has, now, mapped one third of the paved roads in the world, against about 7% for Nokia Here, its first competitor! Finally, facing Google, automotive industry advances in a dispersed order. [Read more…]

Your smartphone: A platform for high performance computing simulation?

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The smartphone has already usurped the role of the computer in a number of ways, thanks to the former’s increasing processing power. In fact, some scientists are using the CPU capacity to replicate an “old” idea that use idle distributed computer power to execute complex processing, taking advantage of the huge number of such resources; and have extended this idea to smartphones and tablets as well. [Read more…]

Big data analytic is watching you

220px-Iris_-_left_eye_of_a_girlMore and more business sectors are using big data analytics to do better business, to gain market share or retain/acquire customers. Here are some examples of such powerful algorithms based on big data analysis: [Read more…]

Apple bets on mobile payment

Apple-Pay-logoLast September 9th, the new iPhone and the Apple Watch drew the attention during the Apple’s CEO keynotes. But none of them were a revolution: the new iPhone is an incremental innovation and the Apple Watch will find its usefulness only with the applications we will develop for it.

No, the real “revolution”, or at least the most interesting novelty was elsewhere: in the launching of the Apple Pay service and the systematic integration of a NFC chip in all Apple devices that allows everybody to pay without contact with his smartphone. [Read more…]

Big data analysis requires some back to basic statistics principles

Autism_Awareness_by_thisfleshavengedThe recent blogpost “this piece of data is lying!” (part 1 and 2) showed that the devil hides in the details and what we observe from data (i.e. correlation) could be false. In this new series of articles, I would like to elaborate on that and give some more examples of statistical bias we must be all aware of in order to not be fooled with big data statistical results. The content of this series is inspired by a data science course of Washington University in the USA (Bill Howe, Data science, autumn 2012). [Read more…]