Data Analytics

Turn industrial data into decisions. Dashboards, KPIs, KLHK SPARING compliance reports, and predictive analytics — on a single source of truth.

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INDUSTRIES WE SERVE

ManufacturingEnergyWater UtilitiesGovernmentHealthcareFinanceLogisticsFMCG

From raw data to operational decisions

DASHBOARDLIVEKPI97.2%↑ +3.4%vs last weekMONTUEWEDTHUFRI
Real-timeDashboards
KLHK SPARINGCompliance
10+BI Tools

SURIOTA builds analytics platforms that combine real-time plant data with business systems — production, maintenance, energy, compliance — into role-based dashboards engineers and executives actually use.

We work across the stack: ETL/ELT pipelines, time-series databases, BI tools (Metabase, Grafana, Power BI), and regulatory reporting (KLHK SPARING, BPS, OJK).

Operator-grade UX, KPI-to-action mapping, audit-traceable exports.

WHY SURIOTA

Dashboards people actually open

Operator-grade UX

Designed for plant operators, not just executives. Glanceable, alarmable, drillable.

KPI to action

Every metric ties to an action: who is alerted, what runbook applies, expected SLA.

Unified data model

Single canonical schema across plant, ERP, CRM — no contradictory numbers in different reports.

Compliance-ready

KLHK SPARING, KEMENPERIN, OJK formats built-in. Audit logs, signed exports, retention controls.

WHAT WE DELIVER

Our analytics capabilities

01

Real-time Dashboards

Operational dashboards on Grafana, Metabase, Power BI. Sub-second refresh for time-critical KPIs.

02

KPI & Performance

OEE, MTBF, MTTR, energy intensity, water quality, asset utilisation — with targets and trend.

03

Regulatory Reporting

KLHK SPARING (water effluent), KEMENPERIN, BPS, OJK, BSSN. Auto-generated, audit-traceable.

04

Predictive Analytics

Forecasting, what-if simulation, root-cause analysis on operational and business data.

05

Data Engineering

Pipelines (Kafka, Airflow, dbt), data quality, schema evolution, time-series databases.

06

Business Intelligence

Self-service BI for analysts, semantic layer, governed access, scheduled distribution.

HOW WE WORK

Our analytics workflow

  1. 01

    KPI definition

    Co-create the metrics that matter, who owns each, what target counts as success.

  2. 02

    Data plumbing

    Connect sources, model the schema, build pipelines, test data quality.

  3. 03

    Dashboard design

    Wireframe with users, iterate on real data, tune for fast load and clarity.

  4. 04

    Train & launch

    Onboard operators and analysts; document drill paths and alert routes.

  5. 05

    Iterate

    Monthly review of usage, retire dead metrics, add new use cases, evolve schema.

FAQ

Frequently Asked Questions

Which BI tools do you support?

Metabase, Grafana, Apache Superset, Power BI, Tableau, Looker. We pick based on your existing license, team skill, and use case.

Can you handle KLHK SPARING?

Yes — our SURGE-Water Analytics module is built for this. Real-time effluent monitoring, automated KLHK report submission, audit logs.

Where is the data stored?

Your choice: on-prem, AWS, Azure, GCP, or our private cloud in Indonesia. Time-series in InfluxDB/Timescale, relational in PostgreSQL.

How fast can we see results?

First operational dashboard typically in 4–6 weeks. Compliance reporting modules: 6–10 weeks including KLHK signoff.

What about data security?

Encryption in transit and at rest, RBAC, audit logs, single sign-on, GDPR/UU PDP compliant retention policies.

Get Started

Ready to build your KPI cockpit?

Free initial consultation — share your data sources, our team responds within 24 hours with a KPI map and a phased dashboard delivery plan.

✓ No obligation✓ Response within 24h✓ Batam-based engineering team