Analytics, BI & dashboards
Genesys operational KPIs belong in the dashboards your organization already runs — not only Power BI, not only a vendor wallboard. One reactive processing definition, delivered to every BI and observability surface.
Multi-dashboard, by design
An exec on Tableau and an SRE team on Grafana shouldn't require two separate Genesys integrations. Streamvane delivers computed metrics to multiple BI and observability stacks from one core — and adds the operational HTTP feeds and client-owned Azure that BI-only connectors don't.
Targets in this category
9 targets · 1 implemented / proven
Microsoft Power BI
Streaming dataset push for live supervisor views.
Grafana
NOC dashboards and alerting beside infrastructure.
Kibana / Elasticsearch
Search and operational analytics in the Elastic Stack.
Tableau
Hyper / REST extract for historical reporting.
Microsoft Fabric
OneLake and streaming for the Microsoft estate.
Looker
LookML modeling over computed KPIs.
Qlik Sense
REST / QVD pipeline.
Apache Superset
Open-source SQL/API dashboards.
Domo
Cloud BI API.
Why it matters
Why multi-dashboard support wins deals
Competitors emphasize multi-sink BI. We match that and add operational feeds plus client-owned Azure — so the same KPI reaches every team.
One reactive processing, every dashboard team
A Microsoft shop gets Power BI, the SRE team gets a Grafana NOC, ops on Elastic get Kibana — all from one Reactive Engine. No duplicate Genesys integrations, no two definitions of service level quietly disagreeing.
- Streaming push for sub-minute supervisor views
- Index / time-series for search and drill-down
- Same KPI families whether the tile is in Power BI or Grafana
Choosing
Delivery models by platform
The right transport depends on whether the consumer needs live tiles, history or search.
| Model | Best for | Examples |
|---|---|---|
| Streaming push | Sub-minute supervisor views | Power BI streaming, Grafana live |
| Scheduled batch | Historical interval reporting | Tableau extract, warehouse-fed BI |
| Index / time-series | Search and drill-down ops | Kibana, Elasticsearch |
| Pull API | Custom dashboard apps | REST connector (implemented) |
Same engine, same guarantees
Every target inherits the platform
Whichever destination you pick, it runs on the same Reactive Engine — with consistent semantics, client-owned Azure, enterprise security and a delivery lifecycle that fits your estate.
One KPI definition
Every target in this category consumes the same computed metrics — service level is service level, everywhere.
Client-owned Azure
Ingest, reactive processing and storage run inside your subscription. Connectors are the only thing that reaches outward.
Platform-package model
Each target ships as a Global.Platform.* package on the shared core — adding one is a connector, not a rewrite.
Built for your SDLC
Provisioned as code, shipped through your pipelines, secured in Key Vault — like any other service you run.
Map your destinations to the right connectors
Book a connector assessment and we'll match your KPI families to the targets in this category — on your own Azure tenant.
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