Data Analytics

Methods

Our Methodology

1. Understanding

SimplyPRO Data Analytics Methodology Step-1:Understanding
It’s about understanding the problem, understanding the desired result and measurement definition.

2. Data Gathering

SimplyPRO Data Analytics Methodology Step-2:Data Gathering
Identify required data, their data sources & gather data (ETL).

3. Data Wrangling

SimplyPRO Data Analytics Methodology Step-3:Data Wrangling
Cleaning of data, standardization, enrichment & quality assurance.

4. Data Analyzing

SimplyPRO Data Analytics Methodology Step-4:Data Analyzing
Understanding trends, identification of correlations and pattern detection.

5. Interpretation & Visualization

SimplyPRO Data Analytics Methodology Step-5:Interpretation and Visualization
Results interpreting, presentation, & visualization.

DATA ANALYTICS METHODOLOGY

Our data analytics method is aligned to the common data analytics process, extended with predefined procedures. This SimplyPRO Data Analytics framework is the base which can be easily adopted to your specific needs.

Each process step begins with a jointly developed assignment and ends with a precise description of the procedure in addition to the results. This ensures a constant transfer of know-how to your company.

Process Overview

1. Understanding

Understanding is the first step. It’s about

  • Understanding the problem
  • Understanding the desired result / Working hypotheses
  • Measurement definition (what will be measured and how)

2. Data Gathering

  • Identify required data
  • Identify data sources
  • Gather Data (ETL)

3. Data Wrangling

  • Data cleaning
  • Data standardization
  • Data enrichment
  • Quality assurance

4. Data Analyzing

  • Data mining
  • Data analyzing (from different perspectives) to
  • Understand trends
  • Identify correlations
  • Pattern detection

5. Interpretation & Visualization

  • Results interpreting
  • Defendability description
  • Findings presentations
  • Reporting
  • Visualization
  • Storytelling
Content

David Spiegelhalter

The Art of Statistics: Learning from Data

David Spiegelhalter guides you through the essential principles we need in order to derive knowledge from data.

10,49 €

Fundamentals

Judea Pearl (Winner of the Turingg Award) and Dana Mackenzie

The Book of Why: The New Science of Cause and Effect

"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead.

42,49 €

Fundamentals