Data Elicitation in three steps (1/3): Data Patterning

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 Elicitation in three steps (2/3): Data Enrichment

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

Data Elicitation in three steps (3/3): Data Analytics

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 … Continue reading Data Elicitation in three steps (3/3): Data Analytics