High-converting semantic data models, embedded analytics, and interactive BI dashboards designed for real-time decision support.
A data warehouse delivers value only when business stakeholders can instantly query, trust, and act on visual insights.
We engineer the presentation and semantic layer: translating multi-table SQL queries into clear business dimensions, enforcing row-level access control, and embedding fast interactive dashboards into your portals.
Critical business decisions are being made based on dozens of manually updated, conflicting Excel spreadsheets passed around via email.
The company has a BI tool, but it is filled with hundreds of abandoned, confusing dashboards that no one knows how to use.
Business users have to file a Jira ticket and wait two weeks for the data team to build a simple new report.
Companies that collect massive amounts of data but struggle to extract clear, actionable metrics from it.
Leaders who need real-time visibility into supply chain, financial, or workforce metrics to make daily adjustments.
Immediately after implementing a modern data warehouse, to actually deliver the promised ROI to the business.
When the executive team mandates a single, unified source of truth for all company KPIs.
Designing high-level, highly polished dashboards that consolidate financial, sales and operational metrics into a single executive view.
Configuring a semantic layer in a BI tool (like Looker or Power BI) so non-technical users can drag-and-drop to build their own reliable reports.
Engineering customized analytics dashboards and embedding them directly into your customer-facing SaaS application or client portal.
Design and delivery of a specific set of operational dashboards and the underlying semantic data models.
Consulting on BI tool selection, governance strategies and dashboard design best practices.
We collaborate with executive stakeholders to define precise mathematical formulas for core business KPIs and wireframe dashboard layouts.
We build standardized semantic models (LookML / dbt) that abstract SQL queries into drag-and-drop business metrics.
We develop responsive BI dashboards focused on sub-second rendering, mobile access, and intuitive drill-down analysis.
We validate data accuracy against financial records, enforce role-based access rules, and train non-technical users on self-service reporting.
We provide training to ensure your internal analysts can modify the dashboards and maintain the semantic layer. For embedded analytics implementations, we provide ongoing software support to ensure the dashboards remain seamlessly integrated with your product.
Industry-standard visualization and business intelligence platforms.
For highly governed, code-driven enterprise semantic layers.
For centralizing metric definitions closer to the data warehouse.
Yes, but we treat that as Data Engineering. Analytics focuses specifically on the presentation layer. Often, these two services are paired together in a single engagement to deliver an end-to-end data platform.
We implement a strong Semantic Layer. This acts as a translation engine so users can drag-and-drop dimensions without writing SQL and they are restricted from making impossible joins that would result in inaccurate data.
Yes. We frequently build Embedded Analytics solutions, where we securely integrate BI dashboards into your own web application, using Row-Level Security to ensure customers only see their own data.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.