Data Analytics

Raw data is noise. We make it signal.

From data pipelines to predictive dashboards — we turn your business intelligence into decisions your leadership team can act on tomorrow.

01Data Architecture

Every source, one pipeline.

Pipeline design and warehousing strategy on BigQuery, Snowflake or Redshift — ingesting from fragmented sources into one clean, queryable layer.

02Modeling & Analytics

Metrics that answer real questions, not vanity ones.

Dimensional modeling, KPI definition and predictive metrics built around the decisions your business actually needs to make.

03Visualization & Dashboards

Built for decision-makers, not analysts.

Interactive dashboards in D3.js, Vega.js, Looker and Power BI — designed to be read in seconds, not interpreted for an hour.

Data ArchitectureModeling & AnalyticsVisualization & Dashboards
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01Why a specialist

A warehouse first, a dashboard second —
never the other way around.

Most companies don’t have a data problem — they have a data-scattered-across-twelve-tools problem. Pipelines break silently, dashboards disagree with each other, and nobody trusts the numbers enough to act on them.

We build the warehouse and the pipeline first, define what the business actually needs to measure second, and only then design the dashboard — so the number on screen is one everyone already agrees is true.

A dashboard nobody trusts is worse than no dashboard at all.

02The discipline

Four disciplines.
One complete data process.

Architecture, modeling, visualization and operationalizing insight — wired together from the first pipeline, not stitched on afterward.

Foundation

Data Architecture

  • Pipeline design & orchestration
  • Warehousing strategy (BigQuery/Snowflake/Redshift)
  • Ingestion from fragmented sources
  • Data quality & validation checks
  • Schema & governance design
Semantic Layer

Modeling & Analytics

  • Dimensional modeling (dbt)
  • KPI definition & metric governance
  • Predictive metrics & forecasting
  • Cohort & funnel analysis
  • A/B test measurement frameworks
Decision Layer

Visualization & Dashboards

  • Interactive D3.js / Vega.js dashboards
  • Looker & Power BI implementations
  • Built for executives, not analysts
  • Geospatial & time-series visualization
  • Self-service exploration layers
Operations

Operationalizing Insight

  • Analytics embedded into daily workflows
  • Alerting on business metrics
  • Automated reporting cadences
  • Metric anomaly detection
  • Ongoing dashboard maintenance
03The stack

The toolchain we analyze with.

Warehousing, pipelines and visualization on one toolchain — every layer accountable to the same standard.

BigQuery Snowflake dbt Apache Airflow D3.js Vega.js Looker Power BI Python Metabase
20+
Products shipped
99.9%
Uptime standard
83%
Build time cut, largest case
24/7
Pipeline monitoring
04The system

Analytics Platform — the command center for your metrics.

One unified view of pipeline health, governed metrics and dashboard adoption. Owned & engineered by Zerobyte.

The data edge

One Source of Truth

Metrics defined once in the semantic layer — dashboards stop disagreeing with each other.

Built for Executives

Every dashboard answers a decision, not a query — designed to be read in seconds.

Pipelines as Code

dbt and Airflow version-controlled and tested — no silent pipeline breakage.

Predictive, Not Just Descriptive

Forecasting and anomaly detection layered on top of the numbers you already track.

Geospatial + Time-Series Depth

Multi-layer dashboards that combine location and trend — not just another line chart.

Alerts on Business Metrics

Your team gets paged on revenue anomalies, not just server CPU.

We've shipped this exact depth before — a regulatory data platform with multi-layer geospatial and time-series dashboards, D3/Vega-powered, serving real decision-makers daily.

05How it works

A lifecycle,
not a checklist.

Every engagement runs the same proven loop — from architecture to operationalized insight — so the numbers are trusted from day one.

01Architect

Pipeline and warehousing strategy designed to ingest every fragmented source into one clean layer.

Pipeline DesignWarehouse SchemaIngestion Plan
02Model

Dimensional models and KPIs defined once in the semantic layer, so every dashboard agrees.

dbt ModelsKPI DefinitionsMetric Governance Doc
03Visualize

Dashboards built for the decisions leadership actually needs to make — not a wall of charts.

Executive DashboardsSelf-Service ViewsDesign Review
04Predict

Predictive metrics and forecasting layered on top of the historical baseline.

Forecast ModelsAnomaly AlertsModel Validation
05Operationalize

Analytics embedded into daily workflows, with alerts on the metrics that matter.

Alerting RulesReporting CadenceOngoing Maintenance
06The scope

Built across every layer.

Pipeline, model and visualization — engineered as one discipline, handed off to your team as one artifact.

Pipeline

Ingestion & Warehousing

  • BigQuery, Snowflake & Redshift
  • dbt-modeled transformation layer
  • Apache Airflow orchestration
  • Data quality & validation checks
Model

Metrics & Prediction

  • Dimensional modeling & KPI governance
  • Predictive & forecasting metrics
  • Python (pandas / scikit-learn) modeling
  • Cohort, funnel & anomaly analysis
Viz

Dashboards & Insight

  • D3.js & Vega.js custom dashboards
  • Looker, Power BI & Metabase
  • Geospatial + time-series visualization
  • Alerting embedded into workflows

We’ve built this depth before — a regulatory data platform with multi-layer geospatial and time-series dashboards, D3/Vega-powered, serving real decision-makers daily.

07Domain depth

We speak data fluently.

If these words run your process, you're in the right place.

Data WarehousingBigQuerySnowflakedbtApache AirflowDimensional ModelingKPI GovernanceSemantic LayerD3.jsVega.jsLookerPower BIPredictive MetricsForecastingAnomaly DetectionCohort AnalysisGeospatial VisualizationTime-Series DashboardsMetabasePython / pandasData Quality ChecksPipeline OrchestrationSelf-Service AnalyticsMetric Alerting
08Our commitment

Backed by a real promise.

12-Hour Response

Raise any query and our team responds within 12 hours — guaranteed, every time.

Zero-Minute Grievance

Critical grievances are addressed immediately — no ticket queues, no waiting.

SLA-Backed Uptime

99.9% uptime with continuous monitoring, so your pipelines never silently fail.

One Number, Always

Every metric is governed in one semantic layer — dashboards never disagree.

09Engagement proof

Results, not portfolios.

Two shapes of engagement we run often — the specifics change, the standard of delivery does not.

Warehouse & Pipeline Build

99.7% pipeline success rate
BigQuery/Snowflake · dbt · Airflow
  • Full data warehouse built from fragmented sources
  • dbt-modeled transformation layer with governance
  • Apache Airflow orchestration across all pipelines
  • Zero open data-quality issues at handover
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Ready to turn data into decisions?

Tell us what you're measuring. We reply within 12 hours with a straight answer on scope, timeline and team.