Xabit Analytics

Bikranta Malla / Xabit Analytics is presented in source material as an individual (Bikranta Malla) and as co-founder of a boutique data analytics company, Xabit Analytics. The business activity described centers on product management and data analytics for software and SaaS platforms. Operations and projects referenced in the material indicate activity in the United States, including New York (ranking noted among NY-based big data companies), and engagement with U.S.-based organisations.

Services and Capabilities

• Product management and roadmapping: definition and execution of product roadmaps, backlog prioritisation, and release planning for SaaS products.
• Data analytics and dashboard development: delivery of analytics platforms and user-facing dashboards based on client requirements, including deployment to client websites.
• SaaS platform development and maintenance: end-to-end development and management of B2B and B2C SaaS systems, including feature delivery and user optimisation.
• Systems integration and API development: building and enhancing API interfaces to enable cross-platform integration and data exchange.
• Process automation and operational systems: automation of ERP and warehouse processes to reduce manual work and improve staff efficiency.
• Agile coaching and team facilitation: acting as scrum master, running sprint planning/reviews, and improving development processes and team workflows.

Industry Focus

• Healthcare: management of healthcare SaaS systems with real-time metrics, onboarding optimisation, and platform roadmap oversight.
• Retail and e-commerce: development of e-commerce features and customer loyalty programs, plus analytics to support customer acquisition and retention.
• Aerospace / Warehouse operations: automation projects in warehouse ERP systems to improve operational throughput and staff productivity.

Technology and Delivery Approach

• Technical stack and tools: use of Python and Ruby for development; relational databases such as MySQL and PostgreSQL; NoSQL databases for specific use cases; API development and documentation practices.
• Cloud and DevOps: familiarity with AWS and Microsoft Azure; certification in an Oracle Cloud Infrastructure Generative AI program is noted.
• Analytics and BI: implementation of analytics tools and dashboards using platforms such as Microsoft Power BI, Google Analytics, and PostHog to surface operational and product metrics.
• Agile delivery and team processes: frequent customer interactions for requirement discovery, sprint-based delivery, scrum master responsibilities, and use of Jira and Confluence for planning and collaboration.
• Automation and integration focus: recurring themes include process automation (ERP/warehouse), system integrations via APIs, and deployment of data-driven features to improve operational or business metrics.