Unlocking the Power of Data

Clarify Objectives
▸ Alignment to higher-level goals

▸ Stakeholders engagement and interviews

▸ Target setting

▸ FPR summary of scope and objectives(Factors-Process-Results)

Select the Team

▸ Key stakeholders and SME's 

▸ Data sources and their gatekeepers 

▸ Team integration

Understand the Process
▸ Process maps
▸ Process variables interrelations and influences
▸ Direct observation

Identify,collect,structure and clean the Data

▸ Data elements selection based on process knowledge

▸ File imports and database connections

▸ Data cleansing; missing values handling and imputation

▸ Sorting, filtering, grouping, stacking and unstacking data

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Explore the Data

▸ Histograms, Individual value plots, Summary Statistics, Box and whisker plots, Time series plots, Control Charts

▸ Scatter plots, Scatter matrices, Correlation

▸ Principal Component Analysis, Clustering

Formulate Models and Hypotheses

▸ Integrating process knowledge and data insights

▸ Identifying hidden latent variable (PLS)

▸ Simple and Multiple Linear Regression, Classification and Regression Trees (CART), Neural Nets

▸ Model Evaluation and Variable Selection 

Experiment

▸ Experimental validation of Models, Hypothesis and target values

▸ Design of Experiments for the exploration of further possibilities.

Identify and select the appropriate Action

▸ Summary of key findings

▸ Identification of possible options

▸ Solution selection: expected Impact vs. cost and Effort

Iterate for an agile Implementation

▸ Future State characterization

▸ Stakeholder engagement in the selected solution

▸ Identifying the key steps to arrive to the Future State

▸ Plan-Do-Study-Act (PDSA) cycles to evolve to the desired state

▸ Ongoing evaluation and analysis of results; adjusting as needed