A managed BI service with embedded data scientists, governed release control, and a deliberate Phase 1 manual-first rollout — so your dashboards go live in 4–6 weeks, without touching SAP on day one.
Trusted by procurement, finance, operations & IT teams · India + KSA
Built on the Microsoft data platform
Native to Azure, SAP, Microsoft 365, Power BI, and Excel — the stack your CIO already underwrites.
Microsoft365
PowerBI
MicrosoftExcel
Live Sample
A real PULSE BI dashboard, running right now.
The Supplier Performance dashboard for ARABIAN KARIM TRADING LLC — full PO volume, on-time delivery, penalty exposure, and category-level supplier ranking. Sign in to explore both light and dark themes, fullscreen, and the governance metadata sidebar.
pulsebi.in / dashboards / supplier-performance
Live · interactive
Real Chart.js, real data
Not a screenshot. The dashboard above is fully interactive — hover, filter, scroll.
Role-scoped in production
Production deployments enforce RBAC + RLS so each viewer sees only their slice.
Built in 4-6 weeks
Phase 1 manual-first delivery means dashboards like this go live in a single sprint cycle.
Why PULSE BI
A managed BI service engineered for governed enterprise rollout.
PULSE BI is not a tool you buy and figure out. It's a delivery model with embedded data scientists, governed release control, and a deliberate Phase 1 → Phase 2 path designed to remove risk from your SAP and compliance teams' calendar.
Phase 1 — Production from day one
Live dashboards in 4–6 weeks, no SAP changes required.
Phase 1 uses governed manual SAP exports through SE16/SQVI, secured upload, and a full RAW → CLEAN → dbt → semantic pipeline. The dashboard platform is identical to Phase 2 — only the ingestion mechanic differs.
Zero changes to your SAP system on day one
First governed dashboard live in a single sprint cycle
Same downstream architecture as Phase 2
Compliance teams can approve before automation
Built For These Teams
Six personas. One governed surface.
PULSE BI ships role-scoped dashboards for the people who actually run the business — not a one-size-fits-all template. Each persona gets its own KPI grammar, refresh cadence, and access scope.
Delivery built for accountable enterprise execution.
Embedded Data Scientists
Named analytics ownership drives consistent model quality and delivery accountability.
Governance & QA Gate
Policy controls and QA sign-off are enforced before every production release.
Evidence Bundle Export
Audit logs, lineage, and sign-off artifacts are exportable for compliance review.
Phase 2 Automation Continuity
Automation upgrades ingestion while preserving downstream architecture and controls.
Operating Model
Enterprise delivery model with controlled automation path.
Home summarizes delivery structure; full architecture depth and technical controls are detailed on the Product page.
Manual-first ingestion for accelerated Phase 1 enterprise rollout.
Embedded Data Scientists manage modeling, validation, and release quality.
Governance controls enforce RBAC, RLS, and evidence traceability.
Phase 2 upgrades ingestion automation without rebuilding downstream layers.
9-Layer Platform Architecture
Phase 1 and Phase 2 keep Layers 3-9 stable; Layer 2 evolves from manual-first to automated ingestion.
Layer 1: Source Systems
Layer 2: Ingestion (Manual/Automated)
Layer 3: Raw Staging
Layer 4: Transformation (dbt)
Layer 5: Semantic Model
Layer 6: API and Access Service
Layer 7: Data Scientist Workspace
Layer 8: Client Dashboards and Apps
Layer 9: Governance and Compliance
Layer 1: Source Systems
Layer 2: Ingestion (Manual/Automated)
Layer 3: Raw Staging
Layer 4: Transformation (dbt)
Layer 5: Semantic Model
Layer 6: API and Access Service
Layer 7: Data Scientist Workspace
Layer 8: Client Dashboards and Apps
Layer 9: Governance and Compliance
Governance Evidence Bundle
Dataset Versionv2026.02.16
Audit Log
WHO/WHAT/WHEN/WHERE extraction evidence.
Version Tag
Immutable version marker and checksum integrity.
QA Sign-off
Release gate approved before production promotion.
Artifact
Retention Class
Integrity Hash
Status
audit_event_log_2026-01-20.csv
ZATCA_7YEAR_KSA
SHA256:8f4a77e9...c129
Verified
dataset_version_v2026.02.16.json
IT_ACT_8YEAR_INDIA
SHA256:9ab2c8d1...1d55
Locked
qa_signoff_release_2026-01-21.pdf
CONTROL_RELEASE
SHA256:2be9a401...f809
Approved
Export formats:
CSVJSONPDF
Customer Spotlight
A real PULSE BI dashboard. A real procurement team.
Below is the same dashboard you can sign in and explore right now — not a screenshot, not a render. Built for procurement leadership at Arabian Karim Trading LLC.
AK
Arabian Karim Trading LLC
Procurement · Supplier Performance
The work
Replaced fragmented supplier reconciliation with one governed Supplier Performance dashboard. PO volume, on-time delivery, late-day distribution, penalty exposure, and category-level supplier ranking — all in one role-scoped view.
"We can finally see the supplier story end to end — POs, lateness, penalties — in one governed view, instead of stitching it together from spreadsheets."
Procurement Leadership · Arabian Karim Trading LLC
Light + dark themes, fullscreen, real Chart.js — no sign-up beyond the demo account.
Demo credentials
viewer@arabiankarim.com / Karim@2026
Soft gate. No customer data behind it.
Built on the Microsoft data platform
Native to Azure, SAP, Microsoft 365, and Power BI.
PULSE BI doesn't ask you to adopt a fringe stack. It runs inside the Microsoft data platform you and your CIO already underwrite — and connects to SAP through the same patterns Microsoft documents.
Microsoft Azure
Hosted on Azure Static Web Apps, ADF, Synapse, Key Vault, and Storage. Enterprise tenancy.
Identity, sharing, and embedded views align with the Microsoft 365 governance model.
Power BI
Native Power BI service compatibility. Workspace embed, RLS, and lineage flow through.
Excel
Operational extracts and finance close packs export to governed Excel formats.
Engagement Plans
Three stages. Same architecture throughout.
PULSE BI engagements are scoped by stage, not seat count. The platform you ship in Pilot is the same platform that scales to Production and onward to Automation — only ingestion mechanics change.
Lock the KPIs, validate the data, ship one production-grade dashboard. Best for teams who need to see PULSE BI on their own data before committing further.
Engagement pricing depends on dataset complexity, dashboard count, and compliance scope. See the full breakdown →
Frequently Asked
The questions that come up first.
These are the seven questions PULSE BI hears most often from CIOs, CFOs, and procurement leads in the first call. If yours isn't here, the discovery workshop is the right place to ask it.
Most Phase 1 production rollouts ship the first governed dashboard in 4–6 weeks from discovery and reach 4–8 dashboards across functions in 6–10 weeks. Pilot engagements (one dashboard) typically ship in a single sprint cycle.
Take The Next Step
Three ways to start with PULSE BI.
Pick the path that matches where you are right now. All three lead to the same governed Phase 1 delivery — they just start from different points.
Try it now
Sign in to the live sample
Open the real Supplier Performance dashboard for Arabian Karim Trading. Light + dark themes, fullscreen, no scheduling required.
