Les Mégadonnées au coeur de la Révolution Digitale

A lire dans le magazine IT Expert, mon dernier article intitulé "Les Mégadonnées au coeur de la Révolution Digitale". 

L'article fait le point sur les enjeux du big data, les métiers et les secteurs concernés, les technologies, l'expérience client réinventée, les compétences clés et les pré-requis.

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Livre à paraître : Enjeux et usages du Big Data (Editions Lavoisier)

Mon dernier livre "Enjeux et usages du Big Data" va paraître au mois d'avril 2013 aux éditions Hermes Science - Lavoisier. 

J'ai écrit ce livre à partir de plusieurs convictions fortes parmi lesquelles : 

- la maîtrise des données n'est pas un "plus" ou un avantage compétitif, c'est aujourd'hui une obligation indispensable au succès de l'entreprise ; 

- l'explosion du volume des données constitue une opportunité pour les organisations : la mise en place de solutions Big Data permet de passer d'un modèle réactif et adaptatif à un modèle proactif et anticipatif. 

Résumé de l'ouvrage : 

Le développement spectaculaire d’internet, des réseaux sociaux, de la technologie mobile et la multiplication des capteurs provoquent une croissance exponentielle des données à laquelle les entreprises doivent faire face : c’est le phénomène du Big Data. 

Ses enjeux sont considérables. Au-delà de la simple question technique du stockage, il offre la possibilité de tirer profit du contenu de ces nouvelles sources d’information. Les solutions décisionnelles classiques laissent progressivement place au Business Analytics et aux méthodes prédictives, transformant l’avalanche de données en valeur ajoutée. 

La technologie est aujourd’hui disponible, les bases de données traditionnelles ont évolué et les solutions dédiées à l’exploitation des données massives, telles que Hadoop, sont désormais opérationnelles. 

S’appuyant sur différents cas pratiques, Enjeux et usages du Big Data met l’accent sur les méthodes, les techniques et les ressources nécessaires pour permettre aux entreprises d’entrer avec succès dans l’ère de l’information à grande échelle.

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I Don’t Trust Your Data

"The true cost of bad data is unknown and unknowable"

Très intéressant article de Thomas Redman, un des experts les plus reconnus dans la qualité des données au niveau mondial.

"The most acrimonious company battles I’ve personally witnessed have involved disagreements over data—their meanings and whether they could be trusted. I’ve seem a few of these and, in the re-telling below merged them into a single story (I’ve done my best to convey the essence of each of these battles).

In the re-telling, two departments need to work out a particular issue in meeting a sales goal. They’ve not had good experiences with one another in the past, but higher-ups have demanded a joint resolution. Battle lines were drawn as each brought their numbers to meeting. But the numbers didn’t agree. As you can imagine, Department A’s numbers reinforced its viewpoint. Likewise Department B’s." Lire la suite

Nine Principles for Federated Data Governance

By Max Gano @ Dataversity

"Over the past year I have been privileged to see how data governance at a large international organization went from a de-funded program (in the wake of the economic melt-down) to become an active, increasingly influential business process. Focusing on delivering business value early and often, they started small and grew steadily. Now they are finding opportunities to influence culture and behavior more and more broadly as a success model for federated data governance.

Centered on a data governance office that works through a steering council, the sole full-time person dedicated to governing data works with a handful of key people to establish a lifecycle of activities for continually evolving data practices across business groups literally scattered around the world. This started from nine simple principles :

1. Identify clear, actionable requirements


2. Organize according to system change cycles


3. Establish working teams for each system


4. Establish Data Governance Roundtable


5. Formulate Data Governance priorities


6. Define roadmaps for adoption and validation


7. Iterate according to business value and project priority


8. Work according to “Fit-For-Use” criteria


9. Initially focus on Reference Data and Taxonomies

These principles have guided the creation and launching of a people-centric process for governing federated data that achieves measurable improvements and changes in culture and behavior. One critical milestone was the first end-to-end completion of that process. Suddenly stakeholders saw exactly how governing data achieves results and how each of them contributes to that success.

As mentor, I have had a front-row seat as I support day-to-day activities and attend monthly steering council sessions. The really exciting part for me is that this organization is dedicated to community development, disaster relief and advocacy. I like to think I am playing a small role in solving world hunger and peace, or at least improving the data that makes this all possible. Over the next few posts I will be sharing how each of the nine principles listed above have contributed along the way. Together they form a pragmatic and effective approach for putting in place a living process for governing federated data that supports improving lives around the globe."