emite unifies data ingestion, modelling, quality, and analytics so leaders can trust the numbers, align KPIs, and act in real time
Trust:
% KPIs governed, lineage coverage, data quality scorecards
When data lives in silos—or in multiple instances of the same system—teams debate the numbers instead of moving the business forward. emite establishes a governed, query-ready foundation that makes “what’s the number?” a non‑question.
No matter where you are in your data journey, emite’s suite can align your organisation on one version of the truth. Each solution contributes a critical piece of the “Data to Decisions” pipeline:
Break down silos at the source. Advanced iPaaS connects to any REST API, S3, stream, file, or database—merging data from multiple systems (even multiple instances of the same system) into a common framework. With built-in transformation and validation, every data point enters your ecosystem clean and consistent.
Role in SSOT: Ensures all data is ingested, normalised, and available in real time, regardless of origin.
Turn consistent data into business-ready metrics. Advanced Analytics applies a governed semantic layer that enforces standardised KPI definitions, dimensions, and calculations across all teams and tools. Automated reconciliation and data quality rules build trust before a single report is run.
Role in SSOT: Guarantees everyone sees the same KPIs, definitions, and results, eliminating disputes over “whose number is right.”
Put the trusted truth in front of the right people at the right time. Advanced Visualisation delivers interactive, real-time dashboards tailored to roles, regions, or departments—whether embedded in CRMs, accessed in a portal, or sent as automated reports.
Role in SSOT: Makes governed insights actionable, ensuring decisions are based on the same, verified data enterprise-wide
Connect APIs, events, files, and databases in stream or batch with built-in reliability and scale.
Profiling, validation, and dedupe with health scorecards by source, field, and KPI.
A single semantic layer and metric dictionary so KPIs and dimensions mean the same thing everywhere.
End-to-end lineage, role-based access, PII controls, and audit trails for safe internal and partner sharing.
Role-based dashboards and alerts that trigger on thresholds and patterns.
Versioned changes move through review to production across the enterprise.
Challenge: SCADA, work orders, and customer tickets don’t reconcile, slowing fault resolution.
Solution with emite: Correlate asset telemetry with maintenance and outage logs. Surface real‑time incident KPIs and SLA impacts.
Outcome: Faster restoration, reduced penalties, higher customer satisfaction.
Challenge: Fragmented CRMs and core systems blur exposure and lifetime value.
Solution with emite: Standardize client, product, and transaction entities; enforce master keys and dedupe rules.
Outcome: Clear risk posture, more precise cross sell, and audit ready trails.
Challenge: Disparate clinical/operational systems hinder throughput and compliance reporting.
Solution with emite: Normalize encounter, capacity, and cost data; publish role based dashboards.
Outcome: Improved flow, transparency, and performance oversight.
Challenge: Multiple storefronts, ERPs, and warehouses create conflicting sales and stock numbers.
Solution with emite: Consolidate orders, inventory, and returns into a single model. Track real‑time sell‑through, margin by channel, and stock‑out risk.
Outcome: Fewer write‑offs, better allocations, and confident campaign planning.
% KPIs governed, lineage coverage, data quality scorecards
time from data arrival to dashboard/API availability
active users by role, queries served, downstream API calls
decisions automated, SLA adherence, cost per insight.
Stop second-guessing your numbers. With emite as your single source of truth, every team sees the same data, in real time, with full context.
Book Your Demo Today and turn your data into decisions that drive measurable results.
What is the single source of truth in this platform?
A governed semantic layer and metric dictionary that defines KPIs once and serves them everywhere.
How do you keep KPIs consistent across tools?
Definitions live centrally. Dashboards, wallboards, exports, and reports all reference the same approved logic.
Who owns metric definitions?
Business owners approve and product or data teams maintain them through a clear change process.
How are changes rolled out?
Every change is versioned, reviewed, and promoted. Deprecations give teams time to migrate.
Can teams create local metrics without breaking the standard?
Yes. Teams can extend with scoped metrics while core KPIs remain locked and auditable.
How do you prove where a number came from?
End to end lineage shows source, transformations, filters, and the exact version of each definition.
How is data quality enforced?
Profiling, dedupe, referential checks, and health scorecards by source, field, and KPI.
Do you support audits and regulatory reporting?
Yes. We provide immutable logs, access histories, and exportable definitions for compliance review.
How fresh is the data?
Real time for streams and scheduled updates for batch. Refresh policies are configurable.
What happens when a KPI changes name or logic?
We issue a new version, keep backward compatible aliases when possible, and notify downstream owners.