Dataryx

Active platform · Operational useData & Intelligence Platform

Dataryx is an end-to-end analytics platform that connects to your data sources, cleans and models data, and turns it into governed, shareable dashboards and KPIs—so teams can make decisions from a single source of truth.

What it solves

Fragmented data across sources and teams with inconsistent KPI definitions · Manual reporting cycles that slow down decisions and hide anomalies · Customer-facing analytics that’s hard to secure, govern, and operate

Core capabilities
  • Data connectors & ingestion (databases, SaaS, files, APIs) with health monitoring
  • Modeling & transformations (visual + SQL), reusable KPI definitions, versioned changes
  • Self-serve dashboard builder (charts, tables, filters, drilldowns, templates)
  • AI-powered analytics: natural language Q&A, auto-insights, narrative summaries, smart drilldowns
  • Anomaly + threshold alerting with “what changed” context and suggested next actions
  • Governance, quality & lineage (freshness, rules, certified metrics, explainability)
  • Security & access control (SSO, RBAC, row-level security, audit logs)
  • Embedding & APIs for customer-facing analytics (secure portals, theming, automation)
  • Deployment options and scale patterns (caching, pre-aggregations, optimization, multi-workspace)
Who it’s for
  • E-commerce operators and owners
  • Finance/accounting teams
  • Analysts and managers responsible for reporting
How it fits the portfolio

Dataryx turns multi-source data into consistent, decision-ready intelligence, complementing Braint’s security and DevSecOps platforms by applying the same principles of automation, observability, and operational control to customer-facing analytics and reporting.

How it works

Step 1 / 4
1.

Connect your sources (DBs, SaaS, files, APIs).

2.

Model your data and define standardized KPIs.

3.

Build dashboards and explore with filters and drilldowns.

4.

Act with alerts, scheduled reports, and embedded analytics.

Differentiators

  • One definition of KPIs used across every report and team
  • Governed self-serve: freedom to explore without losing control
  • Built-in quality + lineage so data is trusted and explainable
  • Fast time-to-value: connect → dashboard in days, not months
  • Embed-ready for customer-facing analytics

Example use cases

  • Executive reporting: unified KPIs across finance, sales, and ops
  • Sales analytics: pipeline, conversion, cohorts, forecasting
  • Operations: SLA adherence, lead times, anomaly alerts
  • Marketing attribution: CAC/ROAS, funnel drop-offs, channel performance
  • Customer analytics: retention, churn drivers, lifecycle cohorts
  • Product analytics: adoption, engagement, quality signals

FAQ

Can we embed dashboards in our app?

Yes—Dataryx supports secure embedding with role-based access.

Does it support row-level security?

Yes—permissions can be applied per team, client, or region.

What data sources are supported?

Dataryx connects to common databases, SaaS tools, files, and custom APIs.

Talk to us

If you want to deploy, integrate, or extend Dataryx inside a larger platform portfolio, let’s talk.

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