Ignite Data Solutions | ACTIONABLE ANALYTICS
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We consider data science as the combination of mathematical and statistical skills, technology and software development skills, and business and functional understanding.

 

The application of data science is generally the investigation and testing of a hypothesis to uncover an insight of value to the organisation. The reality with any such testing is that the identification of value is not guaranteed, with the risk that if left open-ended can result in resource consuming, costly, and never ending analysis.

 

We see actionable analytics as the application of data science skillsets, time-boxed within pre-determined time frames, in order to quickly understand the potential success or failure of a proof of value. With clearly defined timeframes and success criteria, we can prove potential value before moving forward into implementation of repeatable, and actionable insights.

PROOF OF VALUES MODEL

PROBLEM UNDERSTANDING

Understand the business needs and problems

 

Establish clear objectives

 

Define success criteria

DATA UNDERSTANDING

Understand sources, availability and complexity

 

Source required data

 

Explore and visualise data to confirm feasibility

DATA PREPARATION

Filter and clean

 

Integrate for modelling

 

Map and define new attributes and supplement missing data

MODELLING

Identify relevant modelling approaches

 

Build and execute models, refining iteratively

EVALUATION

Assess model performance and score

 

Select and present models

 

Identify future opportunities and next steps

IMPLEMENTATION AND REVIEW

Implement repeatable insights into process and systems

 

Review and refine models