[Solutions · Analytics & BI]
Bring together operational and enterprise data into a single- governed view of the business. From dashboards and reporting to natural-language analytics, every answer is built on the same trusted foundation.
Cost & operations
visibility
Hallucinations
tolerated
Semantic layer,
one source of truth
ready by design,
controls built in


[Enterprise Analytics Capabilities. ]
Give leaders, planners, operators, and analysts access to trusted information without waiting for reports, reconciling spreadsheets, or questioning the numbers.

Enable self-service analytics through natural-language queries grounded in your business definitions, governed data models, and approved sources.

Deliver visibility into production, quality, supply chain, and business performance through dashboards and reporting built around the metrics your teams use every day.

Create visibility into operational, logistics, procurement, and technology costs so leaders can identify opportunities for improvement.

Discover patterns hidden in operational data. Surface relationships, trends, and drivers that help teams improve quality, planning, customer experience, and operational performance.

Create one definition of the truth. Establish consistent business definitions so every dashboard, report, and GenBI response use the same logic and metrics.

Open access without losing control. Enable broader access to analytics while maintaining governance, security, compliance, and trust.
[Generative BI]
Most BI tools help users explore data. Generative BI helps them get answers. Every response is grounded in approved data, governed business definitions, and enterprise security controls.

[Security at the Core]
Self-service analytics only works when trust comes first. Security, governance, and auditability are embedded into the foundation so teams can access information confidently.
[In Production]
Enterprises use analytics to improve operational visibility, understand costs, identify trends, and make faster decisions across the enterprise.
Plant Cost Analytics
Visibility into where every dollar is spent
Safety & Claims Analytics
More claims processed per day
Logistics Cost Analytics
Visibility into logistics cost drivers
[Who We Work With]
Enterprise analytics has to serve the people who pay for it, the people who use it every day, and the people who govern it. Ascentt's analytics practice is built for all three.
[For Business Leaders]
Make decisions with confidence using trusted operational and financial insights.
[For Operations & Plant Leaders]
Monitor performance, quality, throughput, downtime, and operational trends in real time.
[For Data & Analytics Leaders]
Deliver self-service access while maintaining consistency, security, and control.
[Common Questions]
GenBI, generative BI, is the broader shift to natural-language analytics: asking a data question in everyday language and getting an answer back, instead of building a report. It's an industry approach, not a single product. What matters is how it's delivered. Ascentt grounds GenBI in your semantic layer so every answer uses your definitions of revenue, margin, and cost, and every figure traces back to its source.
A general chatbot has no knowledge of your business definitions and no governance. When Ascentt delivers GenBI, it's grounded in your semantic layer and protected by an enterprise-grade governance layer: it answers only from sanctioned data, respects role-based access, cites its sources, and refuses questions it cannot answer accurately. The difference is trust: an answer the whole business can act on with confidence.
No, the opposite. Because our GenBI delivery and dashboards are built on the same semantic layer, every user works from the same definitions. Self-service expands who can ask questions without expanding how many versions of the truth exist. Governance is the foundation, not an afterthought.
Yes. Our analytics work is built on top of your existing data lake and integrates multiple sources: MES, EAM, ERP, SAP, Ariba, Workday, and in-house applications. We add the semantic layer, dashboards, and natural-language GenBI on top rather than replacing your stack.
A dedicated security and governance layer enforces role-based access control, restricts answers to sanctioned data sources, and applies enterprise-grade protection throughout, including encryption, network isolation, and least-privilege access, with an architecture aligned to recognised security and data-protection standards. Users only ever see data they are authorised to see.
[Continue Reading]
Our AI advisory engagements are designed for senior leaders in manufacturing and automotive enterprises who are tired of AI pilots that never reach production and ready to own a measurable outcome inside one quarter.
Solutions · think
Identify the AI opportunities most likely to improve operational performance, reduce costs, and deliver measurable business value.
Solutions · think
Give teams faster access to trusted insights through governed analytics, KPI visibility & natural-language access to enterprise data.
Solutions · Build
Reduce manual effort, accelerate decision-making, and make operational knowledge easier to access through AI assistants, agents & intelligent automation.