Case Study
The Client
The Client is a leading custom Business Process Management (BPM) service provider. They specialise in assisting customers to stay ahead of the curve by providing transformational solutions that re-imagine business processes and deliver increased efficiency, deeper insights, and superior results.
With offices in the United States, the United Kingdom, the Philippines, and India, they are trusted custodians and long-term partners to more than 100 leading brands.
Project Objective
The client wanted to use cloud-based data analytics platform to bring additional insights to their audience. They leveraged data collected by our GCP cloud data integration platform across their business verticals such as retail, BFSI, and telecom.
As their codebase grew in size, they wanted to modernise the architecture of their Analytics platform, particularly in terms of portability and scalability, which included an efficient way to deploy new features.
In addition to it, the client wanted to devise a highly scalable and completely secure method of integrating the massive amount of data coming from various sources.
As a means to cater to the requirements, Niveus proposed to collaborate with their team of data scientists to enhance the capabilities of their existing Analytics platform and make it a scalable SAAS offering, that would be secure and easily deployable.
Solution Roadmap
- A cloud-based microservices architecture that can be applied to frequently used nodes or services
- Containerization for easy maintenance and integration of analytics platform
- Build a prediction system that forecasts the call volumes for the near future, based on historical data.
- A platform with multi system integrations and provision to import various data sources is to be built using wrappers and run on Google Cloud Platform (GCP) using Google Kubernetes Engine (GKE).
Business Solution
- Built a multi-tenant SAAS platform to serve the client with multiple machine learning data model across industry vertices
The platform :
- Caters to multiple customers with pick and choose data model
- Allows for easy build and deploy pipelines
- Runs on microservices-based architecture as a means to facilitate easy diagnostics and fix for even the smallest of bugs/breaks
- Runs on Canary model to de-risk any releases to production & ensure 100% platform uptime
- Scales adaptively basis computing load and customers
- Has integrated security features such as Cloud Security Command Center, Forseti Security, and Binary Authorization.
The Impact
Multiple prediction runs with improved accuracy, and an improvement of 20% in the prediction time
Independently scalable components for desired scalability
Faster time to market for new feature releases
A cost-efficient solution that is easy to use.
An revamped platform in terms of deployability, adaptability, ease of use and ease of integration.
Improved Agility with the decentralization of data management with microservices.
Easy integration and automatic deployment.
Technology Stack
Cloud Security Command Center
Forseti Security
Binary Authorization
TLS and SSL
Istio
Security Scanning with Owasp
Code-based Security Scanning
JSON Web Token Authentication
