Case Studies
SalesDaas.ai
Sales Data as a Service (DaaS) enables companies to outsource their data collection and analysis to a third-party cloud-based tool to gather sales data and gauge sales performance. It is used to identify, optimize, and forecast sales. It uses different metrics and KPIs to plan an efficient sales model that generates higher revenue for the business. Sales DaaS gives companies the ability to gain access to the data and sales insights they need within a matter of a few simple clicks.
Sales DaaS tools enable companies to take a no-code approach to data collection means companies no longer need to spend massive amounts of time on their data collection operations and no longer need in-house database management infrastructure and dedicated database engineers & DevOps teams.
Overview
Client
Sales Analytics and Data as a Service Company.
Scope of Work
- Data Analytics and Consulting
- DevOps Engineering
- Cloud Migration Services
- Microservices Architecture & Development
- Backend Development
- Web App Development
- Product UI/UX Design
TIMEframe
33
months
Involvement
9
people
- Database Architect/Engineer - 3
- Backend Web Developer - 2
- UX/UI designer - 1
- Project Manager - 1
- Business Analyst - 1
- QA - 1
Challenge
- Holistic data analysis from multiple siloed sources and various structured and unstructured data formats
- Business intelligence solution for real-time smart reporting and analytics
- Architect a scalable and optimized data solution
- Updating the data to run dynamic queries
- Handling frequent and heavy data flows
- Integration with multiple services
- Changing data regulations
Approach
- Data warehousing followed by microservices architecture.
- Enabled a service mesh layer, load balancing, and automated container deployment and management.
- Established a lean product development process with integrated tailored Agile/Scrum.
- Applied IMAAT (Integrated Manual and Automated Testing) approach.
- Designing a data-centric User Experience
- Set up business dashboards using BI.
Results
- The Beta version is launched before the deadline and within budget.
- Development: 1.5X Faster
- Cost Saving: 30%