Data Analytics

Unlock insights
hidden in your databases.

Clean data pipelines, KPI dashboard reports, and SQL databases optimized for querying. We turn chaotic tables into interactive dashboards and reports that founders can act on.

100M+ Records Processed
<2.5s Query Time
100% ETL Automated
Power BI Visual Standard
WITH MonthlyRevenue AS (
  SELECT
    DATE_TRUNC('month', created_at) AS revenue_month,
    SUM(amount) AS mrr,
    COUNT(DISTINCT tenant_id) AS active_tenants
  FROM billing_records
  WHERE status = 'paid'
  GROUP BY 1
)
SELECT
  revenue_month,
  mrr,
  active_tenants,
  mrr / active_tenants AS arpu
FROM MonthlyRevenue
ORDER BY 1 DESC;
import pandas as pd
import sqlalchemy

def clean_and_load(conn_string, csv_path):
    engine = sqlalchemy.create_engine(conn_string)
    df = pd.read_csv(csv_path)
    
    # Drop null rows & format currencies
    cleaned_df = df.dropna(subset=["user_id"])
    cleaned_df["amount"] = cleaned_df["amount"].fillna(0)
    
    cleaned_df.to_sql("billing_records", engine, if_exists="append")
{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": { "url": "/api/analytics/mrr" },
  "mark": "line",
  "encoding": {
    "x": { "field": "revenue_month", "type": "temporal" },
    "y": { "field": "mrr", "type": "quantitative" }
  }
}

Engineered Features

Robust capabilities built into every system.

Business Intelligence

Custom Power BI and Tableau dashboards, goal trackers, and interactive conversion charts.

MRR $84.2k
+28.4% Growth
1.2% Churn

Cohort Analytics

Calculations of customer MRR, lifetime values (LTV), and multi-month user retention charts.

96%
30-Day Retention Cohort 12,400 active accounts analyzed
LTV / CAC 4.2x

Spreadsheet Syncs

Connect SQL databases directly to Excel and Google Sheets tables with automated syncs.

Live Google Sheets Sync
Two-Way Auto Sync

Technology Stack

High-caliber developer ecosystem.

Power BI Looker Studio Chart.js D3.js PostgreSQL Google BigQuery Snowflake ClickHouse Python (Pandas) dbt Apache Airflow Fivetran Apps Script Power Query VBA Macros SQL Integrators Power BI Looker Studio Chart.js D3.js PostgreSQL Google BigQuery Snowflake ClickHouse Python (Pandas) dbt Apache Airflow Fivetran Apps Script Power Query VBA Macros SQL Integrators

Build scopes

Project Scopes & Deliverables.

01

Dashboard Kickstart

One main database dashboard connected to your core records, with basic data parsing and 5 custom key performance metrics.

1-2 weeks delivery
Dashboard layout design Core DB connection Data clean sweeps 5 Target metrics
02

Full Pipeline Suite

Custom Python/dbt ETL pipelines, cohort databases, daily background schedules, and 3 analytics dashboard reports.

2-3 weeks delivery
ETL pipeline scripts Cohort analysis matrices Daily auto-updates 3 Custom dashboards
03

Warehousing & Scaling

Configured BigQuery or Snowflake workspace, dbt transformation rules, security role divisions, and high-frequency reporting.

4-5 weeks delivery
BigQuery/Snowflake setup dbt transformations User role divisions Query optimization

Deployment process

A clear path from idea to dashboard launch.

Frequently Asked

Data Analytics & BI Dashboard Questions.

How do you build custom analytics dashboards that load instantly?

We architect high-speed columnar data models using ClickHouse, DuckDB, or PostgreSQL Materialized Views paired with Redis query caching. This allows dashboards to calculate aggregations across millions of rows with sub-80ms rendering speed.

Can you ingest data from multiple disparate tools and platforms?

Yes. We build automated ETL / ELT data ingestion pipelines connecting Stripe, Shopify, Google Ads, Meta Ads, HubSpot, Mixpanel, and SQL databases into a unified data warehouse with automated nightly or real-time sync.

Can different team members and clients have restricted dashboard access?

We implement strict Row-Level Security (RLS) and role-based permissions. Executive leadership can see company-wide gross profit metrics, while department managers or external clients only see metrics relevant to their specific workspace.

Can we export reports to Excel, CSV, and automated PDF email summaries?

Yes. Every dashboard includes 1-click clean export for filtered CSV and Excel tables, plus scheduled cron digests that deliver formatted PDF performance summaries to your leadership team's inboxes or Slack channels weekly.

How do you maintain data privacy and SOC2 compliance?

All sensitive customer and revenue data is encrypted with AES-256 at rest and TLS 1.3 in transit. We implement PII anonymization and masking filters to ensure full compliance with GDPR, HIPAA, and SOC2 guidelines.

Can you implement predictive analytics and trend forecasting models?

Yes. We build cohort retention matrices, customer churn likelihood classifiers, customer lifetime value (LTV) projections, and statistical anomaly detection algorithms that alert you when revenue or traffic deviates from forecast norms.

Explore other services

What else we can build together.

Ready to activate your data analytics?

Let's map out your databases and key business KPIs in a 30-minute discovery call.

Book Discovery Call