AtomHub 2.0
    Analytics & BI

    Turn data into decisions people trust

    We design, build, and run governed analytics—from metric definitions to executive scorecards—so teams move faster with one version of truth.

    Governed

    One truth

    Fast

    Quick insights

    Adopted

    User-friendly

    Metrics
    Dashboards
    Alerts
    The Problem

    Problems we solve

    Metric sprawl & dashboard overload

    Conflicting numbers, endless debates

    Slow time-to-insight

    Brittle SQL, ad-hoc marts, manual report runs

    Low adoption

    Complex tools, unclear ownership, no narrative or action

    Governance gaps

    Missing RLS/CLS, no audit trail, inconsistent definitions

    What We Ship

    Core deliverables

    Metrics Layer & Semantic Model

    • Canonical KPIs/dimensions with owners, tests, versioning, and documentation

    Certified Dashboards & Scorecards

    • Executive packs, operational dashboards, and domain views with "Certified" badges

    Self-Serve Exploration

    • Curated datasets, guided filters, and safe-SQL patterns for business users

    Alerts, Scheduled Insights & Decision Packs

    • KPI thresholds, anomaly pings to Slack/Teams/Email, weekly "what changed" briefs

    Anomaly & KPI Health

    • Baselines, seasonality-aware thresholds, run-booked responses

    Experimentation & Causal Analytics (optional)

    • A/B frameworks, uplift analysis, cohort & funnel deep-dives

    Access & Governance

    • RLS/CLS, audit logs, usage analytics; data-contract checks at the BI door

    Performance & Cost Optimization

    • Aggregates, caching, pre-compute, query pruning, viz-level tuning

    Enablement & Adoption

    • Training, office hours, playbooks, and a searchable doc site
    How It Works

    Architecture flow

    1

    Define

    Metrics canon (names, math, SLOs, owners) and data-contract checks

    2

    Model

    Curated datasets and semantic layers for domains and cross-domain KPIs

    3

    Build

    Certified dashboards, scorecards, and guided self-serve experiences

    4

    Wire

    Alerts, anomaly detection, and scheduled decision packs into workflows

    5

    Observe & improve

    Usage analytics, survey loops, and quarterly tune-ups

    Success Metrics

    KPIs we target

    Time-to-insight

    Request → decision ↓

    Adoption

    Weekly active viewers/editors ↑

    Consistency

    Metric definition errors ↓

    Decision lead time

    Alert → action ↓

    Query latency / cost

    Per insight ↓

    Data quality & dashboard SLOs

    Pass rate ↑

    FAQs

    Common questions

    Ready to get started?

    Ship analytics your leaders will rely on

    Let's build governed, fast analytics that drive decisions and adoption