DurgaPulse — BI as a Service for Modern Enterprises
A fully managed analytics service from Durga Analytics: we ingest, model, and visualize your data, deliver reliable dashboards and alerts, and run your BI platform end-to-end — so business teams can focus on decisions, not infrastructure.
DurgaPulse Snapshot
- • End-to-end managed BI — from source systems to executive dashboards
- • Supports finance, sales, operations, risk and CX analytics use cases
- • Data pipelines, semantic models and governance included
- • SLA-backed support with incident, change and enhancement workflows
Why DurgaPulse BI as a Service?
Most BI programs stagnate in fragmented reports, ad-hoc Excel models, and overloaded central teams. DurgaPulse turns BI into a predictable service: a governed, productized analytics layer with SLAs, clear ownership, and reusable data products that business teams can trust.
Outcome-First Analytics
Start from business questions and KPIs: revenue, margin, risk, utilization, customer churn. We design dashboards and data products around decisions, not technology.
End-to-End Managed
We own ingestion, modelling, visualization, access control, and monitoring — integrated with your tools and cloud. Your teams consume governed BI, on tap.
Scales with the Enterprise
Start with one domain and expand. Multi-country, multi-BU, data residency and compliance requirements are baked into the DurgaPulse architecture and operating model.
Core Service Pillars — From Raw Data to Decisions
DurgaPulse is structured into four pillars that cover the full analytics lifecycle — data foundation, governed models, insight delivery, and ongoing operations.
Pillar 1 — Data & Platform Foundation
- Source onboarding from core systems (ERP, CRM, core banking, trading, custom apps, flat files, APIs)
- Cloud-native or on-prem pipelines with incremental loads and data quality checks
- Central, governed data lake / warehouse or lakehouse layer
- Metadata, lineage and business glossary integration where available
Pillar 2 — Semantic Models & Governance
- Subject-area models: Sales, Finance, Risk, Operations, HR, Marketing, Supply Chain
- Reusable metrics and calculations (GM%, NIM, AR days, churn, NPS, SLA adherence, etc.)
- Role-based data access, row-level security and masking where required
- Data quality scorecards and model certification (gold / silver / bronze data products)
Pillar 3 — Dashboards, Stories & Alerts
- Executive cockpits for CXO and BU leaders (web + mobile ready)
- Operational dashboards for daily/weekly monitoring and exception management
- Self-service templates and governed datasets for power users
- Threshold-based and anomaly-based alerts via email, Teams/Slack and mobile
Pillar 4 — Operations & Continuous Improvement
- SLA-backed production support with incident and problem management
- Change and enhancement backlog management with release calendar
- Usage analytics and adoption reviews for key dashboards and data products
- Quarterly roadmap reviews, cost optimization and new use-case discovery
Example Enterprise Use-Cases
DurgaPulse can be rolled out domain by domain. A few typical starting points:
- Executive MIS & Board packs
- Branch / region performance dashboards
- Customer profitability & segment analytics
- Risk & exposure monitoring (limits, breaches, trends)
- Operations efficiency & TAT analytics
- Collections performance & early warning indicators
- Digital channel funnel analytics
- Campaign performance & attribution
- Regulatory & internal reporting automation
Onboarding, Adoption & Co-Ownership Model
DurgaPulse is delivered as a long-running managed service. We start with a focused pilot, then scale with a clear operating model, shared KPIs, and governance.
Phase 1 — Discovery & Pilot (2–6 weeks)
Assess data sources, define KPIs, stand up a minimal viable analytics stack and deliver first dashboards for one domain (e.g., Sales or Finance) with production-grade quality.
Phase 2 — Scale & Standardize
Add more data sources and domains, rollout semantic models, standard report catalog, and access controls. Train key business champions for adoption and feedback loops.
Phase 3 — Continuous Improvement
Quarterly roadmap reviews, new use-case discovery, performance tuning and cost optimization. Optional advanced analytics (ML, forecasting, anomaly detection) on top of DurgaPulse.
What You Get with DurgaPulse
Clear, tangible artifacts and services that your teams rely on every day.
- Managed data pipelines from priority systems into a governed analytics store
- Documented semantic models and metric definitions, with business glossary mappings
- Curated dashboard suite and report catalog aligned to business roles
- Alert configurations and runbooks for key operational and risk indicators
- SLA definition: uptime, refresh schedules, response times and enhancement SLAs
- Usage and adoption reports with recommended actions every quarter
Indicative Pricing & Service Plans
Final pricing depends on number of data sources, users, domains and SLAs. Below are typical starting configurations.
Pulse Starter
Ideal for a single department or business unit with limited sources. Includes core dashboards, standard SLAs and monthly reviews.
- Up to 3 data sources
- Up to 50 named BI users
- Business hours support
Pulse Growth
For multi-department analytics with stronger SLAs and extended coverage. Includes roadmap workshops and quarterly optimization reviews.
- Up to 8 data sources
- Up to 200 named BI users
- Extended support window
- Quarterly roadmap sessions
Pulse Enterprise
Tailored for large, regulated or multi-country enterprises. Includes dedicated service management, on-site workshops and custom compliance needs.
- Unlimited domains (scoped by contract)
- Multi-region and DR considerations
- 24×7 or follow-the-sun support options
- Advanced analytics and data science add-ons
DurgaPulse Platform & Durga Analytics Team
DurgaPulse Delivery Squad
Cross-functional team of data engineers, BI developers, product owners and service managers with deep experience across BFSI, energy, retail and digital businesses.
Technology & Partnerships
- Works with your existing cloud stack (Azure, AWS, GCP, hybrid)
- Supports Power BI, Tableau, Looker, custom React dashboards and embedded analytics
- Experience with data platforms like Snowflake, Databricks, BigQuery and traditional warehouses
- Optional integration with ticketing / ITSM tools for end-user request workflows
Request a DurgaPulse Demo or Proposal
Share a few details about your current BI landscape and priorities. The Durga Analytics team will respond with a tailored DurgaPulse proposal, including potential quick wins and a rollout plan.