
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.…

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…

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…

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…

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…

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…

Data and digital analytics Analytics skills: Analysis methodologies (Inductive reasoning, funnel analysis) Analytics development (new metrics & analysis schemes, KPI’s) Client servicing (Presentations, Business cases, Reporting) Original post (illustrating the Data and Digital Analytics concept) : Today is wrap-up time. Before dealing with practical use cases and comment on data-related news, I shall conclude my introduction…