Unlocking the Power of Data

Our approach ensures the proper application of Data Analytics tools, and the effective alignment with key business needs and drivers.

From Business Objectives to Effective Action:

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


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 


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