Tredence works with one of the largest apparel retailers in North America, where we provide a wide range of services and solutions to advance their data, analytics, business intelligence, and governance capabilities.
Over the course of a year, Tredence worked with this customer to lay the foundation of the future – migrating legacy workloads into GCP services to provide more intelligence about this retailer’s customers.
With the foundation in place, our customer was looking for a one-stop solution which can help fulfill their vision to enable an enhanced customer experience and drive top and bottom-line improvements to the business.
The client was interested in addressing some of the following challenges:
Activation:
Personalization:
Measurement & Optimization:
The Challenge
Unfortunately, these insights are difficult to obtain without the proper technology and solutions to aggregate a wide variety of customer data that exists across the organization, in a range of disparate systems.
Many of the challenges that this customer faced are commonly faced across industries. They include:
To address these challenges, Tredence has developed a holistic customer analytics solution offering called Customer Cosmos.
Customer Cosmos is implemented within our customers’ enterprise ecosystem as a white box solution. Unlike off-the-shelf Customer Data Platforms (CDP’s), no customer data leaves our clients’ infrastructure and the power of customer data rests within the company.
Availability of all customer data collected, observed, predicted, and stored in a single place allows multiple teams within the organization to harness and build applications keeping customer data at the center of the design process.
Customer Cosmos is an architecture pattern combined with proprietary data models that help to accelerate our clients’ journeys to tap into the full power of their data. Below is an overview of the technical architecture of the Cosmos Solution that Tredence developed with this customer.
Customer Cosmos Architecture:
Services Used
This deployment of Customer Cosmos used a variety of different GCP services as part of the end-to-end solution deployment. Below is a table highlighting the various GCP services that were used to deploy Cosmos, and the rationale for each of the services used.
Technology Requirement |
GCP Service |
Rationale to use the selected GCP service |
Cloud Data Warehouse |
BigQuery |
|
Object Storage |
Cloud Storage |
|
ML Development |
Vertex AI Workbench |
|
Data Processing Engine |
Dataproc |
|
Monitoring |
Cloud Monitoring |
|
Orchestration |
Cloud Composer |
|
Customer Cosmos has provided a wide range of benefits to the organization, including:
In summary, Customer Cosmos has enabled our client to integrate completely new analytics capabilities into their business processes, while understanding their customers at a much more granular level. And we’ve helped them do it faster – implementing in a fraction of the time that other solutions in the market take.