Retail – Greater insight from relationships and linkages

Our Use Case focuses on the ability to drive greater insight from existing tabular structured and unstructured data.

The focus of this initiative was to provide insights that are not available from the current tabular based data. We were able to show relationships and linkages of products that were not previously visible. The results of this project fed into marketing and business development activities.

POS Analysis - what gets bought with what?

POS Analysis - what gets bought with what?

Project Overview

Actors

  • Solution Provider

  • Retail Site Management

  • Research & Development team

Prerequisites

  • Transactional data

Numbers

  • 12-month transactional history form existing enterprise system

Steps

  • Ingest transactional data

  • Define model views

  • Visualise patterns, relationships and linkages

  • Present the Data Point of View and Data Story

Benefits:

  • Pattern visualisation

  • Identification of relationships and linkages not previously available

  • Ability to observe, navigate and explore the data within the model

Previous

Civil Construction Process and Performance Improvement