Which visualisation tools are supported?

Grafana is used for operator and NOC dashboards; Microsoft Power BI, Tableau and Qlik for business audiences; Apache Superset for open-source deployments; and hyperscaler-native consoles such as Amazon QuickSight and Azure Data Explorer where they fit best. Selection is driven by audience and data volume.

How is historical telemetry integrated with the enterprise warehouse?

Hot data is tiered to time-series stores such as InfluxDB, TimescaleDB and Timestream; warm and cold data is moved to Snowflake, Databricks, BigQuery or Microsoft Fabric. A governed semantic layer presents analysts with one logical dataset across sources.

How is dashboard sprawl prevented?

Each dashboard is tied to a decision it supports, an owner and a review cadence. Adoption is tracked quarterly; unused artefacts are retired; and KPI definitions are managed centrally so different audiences read consistent figures.

Do you only deploy from scratch, or can you fix what we already have?

Both. Most of our engagements start with an audit of the existing stack — rulebases, policies, coverage, integrations, backups — and a fixed-scope remediation sprint against the findings. We only recommend replacement when the current tooling genuinely can't get you where you need to be.

What happens after go-live — do you support and maintain what you deploy?

Yes. Implementations can be wrapped with a Jiva Technologies AMC covering L1/L2/L3 support with agreed response tiers, preventive maintenance, firmware and policy hygiene, vendor-TAC escalation, licence renewal, and periodic architecture reviews. Ongoing monitoring, detection, and response can be extended under a separately contracted Managed Security engagement scoped to the customer's coverage requirements.

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Operational Telemetry Dashboards

Sensors are data. Dashboards are decisions.

Jiva Technologies designs, integrates and supports operational telemetry programmes covering KPI and OEE modelling, real-time operator consoles, executive views, anomaly and trend detection, historical analytics, automated reporting and self-service data access, integrated with enterprise BI and data-warehouse platforms.

"One KPI model. One data plane. Different views for different audiences."

Audience Coverage

Operator to executive

Consoles, executive views and self-service analytics from one model.

Visualisation Layer

Multi-tool

Grafana, Power BI, Tableau, Qlik, Superset and hyperscaler consoles.

Data Integration

Warehouse-ready

Snowflake, Databricks, BigQuery and Microsoft Fabric feeds.

What we deliver

KPI & OEE Modelling
Availability, performance, quality and OEE per line and per site, plus custom facility, tenant and sustainability KPIs modelled once and reused across audiences.
Real-Time Operator Dashboards
Real-time operator dashboards for control rooms, shopfloors and NOCs built in Grafana, Microsoft Power BI, Tableau, Qlik, Apache Superset and hyperscaler-native consoles, with refresh intervals tuned to the underlying data architecture.
Executive & Board Views
Role-based executive dashboards drawing on the same underlying data, tuned for CxO cadence and exportable to board packs and management reviews.
Anomaly & Trend Detection
Statistical and machine-learning detection surfaces drift, outliers and pattern breaks so alerts arrive with context rather than raw threshold breaches.
Historical & Batch Analytics
Long-term telemetry retention, cohort analysis and batch reporting for quarter-over-quarter, year-over-year and per-shift comparisons on demand.
Automated Reporting
Scheduled PDF, Excel and email packs for facility, operations and compliance stakeholders, replacing recurring cut-and-paste work.
Self-Service Data Access
Governed semantic layer over the time-series data lake so analysts and site engineers can explore data without raw SQL or IT tickets.
BI & Data-Warehouse Integration
Feed telemetry into Snowflake, Databricks, BigQuery and Microsoft Fabric so IT, OT and business systems share one governed enterprise data plane.

Signals we hear

Why teams call us

4 recurring gaps

Dashboards proliferating without decisions
Each team builds its own dashboard against its own extract, producing conflicting numbers and low adoption after the initial launch.
Telemetry not modelled into KPIs
Raw sensor and event data reaches the platform but is not modelled into availability, performance, quality or OEE metrics that operations and executives can use.
Alerts arriving without context
Threshold-based alerts fire without context on trend, comparison or business impact, so operators triage individually and executives lose confidence.
IT and OT data planes unable to join
Time-series telemetry and enterprise data warehouses remain separate, preventing joined analysis of operational, business and sustainability data.

How we engage

Our approach

Deliver decision-ready dashboards from KPI modelling and audience mapping through integration with visualisation, warehouse and semantic-layer platforms.

Assess
Identify decisions to support per audience, existing reporting stack, KPI definitions, data quality, visualisation tools and warehouse and semantic-layer landscape.
Design
Define the KPI and OEE model, dashboard portfolio, alerting and anomaly-detection rules, self-service semantic layer and integration into enterprise data platforms.
Integrate
Build operator, executive and self-service dashboards; integrate with the data warehouse; publish scheduled reports; and enable users on governed exploration workflows.
Operate & Improve
Review dashboard adoption, retire unused artefacts, refine KPIs and alert logic, and evolve the model against new business, sustainability and reliability priorities.

End-to-End IT Integration and Support

From assessment and solution design through implementation, remediation, ongoing support, and lifecycle optimization.

Fix What's Broken — Remediation Sprints

Offline sensors, unreliable gateways, broken protocol integrations, duplicate or missing telemetry, dashboard drift, expired certificates, alarm floods, or an IoT / OT pilot that never scaled? Jiva Technologies runs fixed-scope remediation sprints across the device, network, platform and integration layers.

Sensor, meter and gateway health audit, firmware baselining and connectivity fixes
Protocol integration cleanup (BACnet, Modbus, OPC UA, MQTT, LoRaWAN, LTE-M)
Data-model, KPI, dashboard and alarm rationalisation with tag / battery lifecycle fixes

Request a remediation scope

Support & Maintenance — AMC-Backed

Keep IoT, OT and smart-building estates running after handover — device health, platform hygiene, certificate and firmware lifecycle and vendor coordination under a Jiva AMC.

L1 / L2 / L3 technical support for leading IoT, edge, BMS, SCADA and analytics platforms
Preventive maintenance, sensor calibration, firmware, configuration backup and licence renewal
Vendor escalation, periodic service reviews and documentation refresh

Explore AMC & support contracts

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Turn telemetry into decisions your teams trust

Model KPIs once and present them for every audience

Review target decisions, existing reporting stack, KPI definitions, data quality, visualisation tools and warehouse landscape. Jiva Technologies can assess, design, implement, integrate, remediate and support a phased operational telemetry dashboard programme across sites, functions and executive audiences.

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