D1 – Definition of verifable research questions and transformation into statistic solution modelling

D2 – Design of research studies
(I) operationalization of variables into items or questions
(II) conception of measurement models and structural models
(III) sample size calculation and sampling

D3 – Data Acquisition
(I) setting up surveys
(II) conducting expert interviews and application of Delphi methodology
(III) web and data base crawling

D4 – Data Analytics via R, Python, SPSS, and Mplus
(I) extract-transform-load procedures
(II) exploratory scaling techniques
(III) generalized linear model
(IV) latent variable modelling (see: statmodel.com)
(V) machine learning applications

D5 – Documentation
(I) dynamic report deployment
(II) play back of key performance indicators
(III) designing impactful presentations

D6 – Discussion of prospective decisions