While 2018 still is in its prime, please receive all my best wishes for a happy and prosperous new year. Should you be awarded all that you long for - and even more - but also enjoy excellent health so as to launch your most ambitious projects, as well as take up the highest challenges. … Continue reading The Digital Transformation “à la Française” : let’s hurry, but slowly…
Wild net neutrality vs. regulated standardized networks? Privacy for each vs. security for all? Free content with ads vs. pay-per-view? Are we bound to witness the development of the internet with the eyes of a war correspondent? A few weeks ago, I have been at MeasureCamp in London, a bi-yearly analytics unconference that I find … Continue reading Privacy, Safe Harbor and ad blockers: When trust is key to business
In the wake of the most recent MeasureCamp, held in London on March 14th, I have decided to start a series about key trends in analytics. During the MeasureCamp, beyond the usual lot of (highly interesting) technical workshops, I have identified three trends that are increasingly important for digital practitioners, so as to improve the efficiency … Continue reading Key trends for efficient analytics (1) : a web taxonomy
Way too many companies are still behind schedule, and have the utmost difficulties to set up such data strategies, especially in France. I have then decided to rely on my most significant successes from the past year to review and complete the operational scope of Data Elicitation. The achievements : The CWA, which makes me the only French data … Continue reading Data Strategy, high time to take action!
People who know me are aware that I often complain that applying blindly the so-called "precautionary principle" is leading to inaction. However, fear does not prevent danger, so tells a popular French saying. Similarly, data should not prevent any decision making. In a paper about the precautionary principle (in French), Gaspard Koenig states that "the precautionary … Continue reading Free your data: revoke the precautionary principle!
Data design and acquisition ("patterning") Patterning skills: Conceptualization (Business requirements, formal design) Data Acquisition (Data sourcing and structuring, data storage) Data Governance (Privacy monitoring, Data update policies) Original post (illustrating the Data Patterning concept) : In my previous post, I have outlined what Data Elicitation was about. I have introduced the three areas required for a proper eliciting … Continue reading Data Elicitation in three steps (1/3): Data Patterning
Data enrichment Enrichment skills: Data Categorization (Coding policies, working methods) Collaboration Scheme (Tool implementation, support, team coaching) Coding Strategies (Outsourcing, QA, SLA's) Original post (illustrating the Data Enrichment concept) : The second step of elicitation is enrichment. Once your data have been patterned, you have to design their look and feel. This is what data … Continue reading Data Elicitation in three steps (2/3): Data Enrichment