Client Background
Client: A leading retail firm in Newzealand
Industry Type: Retail
Services: Retail business
Organization Size: 100+
The Problem
Companies face issue of having a Single customer under various rows with slightly different information in the same database. This causes unwanted duplication and inaccurate statistics. It also results in inaccurate ad targeting and financial loss.
Our Solution
We leverage graph technology to create a single customer view by using Complex cypher queries and Graph Algorithms.
Solution Architecture
We have an Azure VM on which we have installed the Neo4j Database. Deployment architecture is a single Instance because of using the Community version of the software.
Deliverables
- Populated Neo4j Database.
- Required Cypher Queries.
Tools used
- Neo4j
- Graphlytics
Language/techniques used
- Java
- Cypher Query
Models used
Node-Relationship model
Skills used
Data Analytics
Data Engineering
Data Science
Databases used
Neo4j
Web Cloud Servers used
AZURE
What are the technical Challenges Faced during Project Execution
Only 1 Difficulty was faced in this Project and that was to migrate data from Elasticsearch to Neo4j.
How the Technical Challenges were Solved
Research and Experimentation.
Project Snapshots
Contact Details
Here are my contact details:
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy
For project discussions and daily updates, would you like to use Slack, Skype, Telegram, or Whatsapp? Please recommend, what would work best for you.
