Modern BI • Warehouses • Executive Dashboards

Turn Fragmented Data into a Single Source of Truth

You are collecting data across Shopify, Stripe, CRM, ads platforms, and internal tools but still run your business using spreadsheets and gut feeling. Reports take days to prepare, numbers never fully match, and every strategy meeting starts with "which number is correct?".
Discuss Your Analytics Roadmap
Power BI
BigQuery
Snowflake
Business Intelligence Solutions
Total Revenue
$1,240,500
+12.5%
Profit Margin
24.8%
+2.1%
Cust. LTV
$850
-0.5%
Revenue Forecast
Sources
Shopify45%
Amazon30%
Direct25%
Predictive AI
Processing...
Daily Sales
$12,450
Stock Alert
Low Inventory

Why "Standard" Reporting Tools Are Failing You

Most businesses suffer from Data Fragmentation:

The "Excel Wall"

Manual copying of data into spreadsheets leads to versioning nightmares, formula errors, and hundreds of wasted hours.

Vanity Metrics

Generic dashboards show "Traffic" but miss the complex Customer Churn Prediction or Lifetime Value (LTV) Analysis that actually drives profit.

Inaccurate Tracking

Browser-based tracking (pixels) loses up to 30% of data due to AD blockers, iOS updates and privacy restrictions..

No Single Truth

Marketing says ROAS is 4.0. Finance says you're losing money. Who is right?

We Build the Data Infrastructure Not Just the Pretty Charts

We are Data Engineering Consultants first. We believe that a dashboard is only as good as the pipeline feeding it. We connect your isolated tools into a centralized Data Warehousing Service, creating a reliable "Single Source of Truth" for your entire organization.

Whether you need Power BI Consultants for enterprise reporting or Looker Studio Experts for agile marketing visualization, we engineer the backend to ensure the frontend is fast, accurate, and automated.

Data Warehousing

We design schemas in PostgreSQL, BigQuery, or Snowflake tailored to your business entities (orders, customers, subscriptions, inventory).

Role-Based Dashboards

Tailored views for C-level, marketing, warehouse, and customer success teams, each surfacing the KPIs that matter.

Shopify
Stripe
Meta Ads
ETL Pipeline
Data Warehouse(BigQuery / Snowflake)
Unified Dashboard

Technical Deep Dive: From Raw Data to Actionable Intelligence

ETL Pipeline Development

We write custom scripts (Python/SQL) to Extract, Transform, and Load data from any API into a central warehouse (BigQuery/Snowflake).

Server Side Tracking GTM

We implement robust Server-side Tracking GTM to restore data accuracy and ensure privacy compliance.

Advanced Modeling

We build Marketing Attribution Modelling to understand which channels actually drive revenue, moving beyond simple "Last Click" logic.

Predictive Analytics Solutions

Using historical data to forecast inventory needs and cash flow.

Your Data Maturity Roadmap

We follow a structured process that starts with definitions, not tools.

Audit & Governance

We perform a Google Analytics 4 (GA4) Audit and map your data sources.

Engineering (The Pipeline)

We set up the infrastructure. We set up the Data Warehouse architecture. No more manual CSV exports. We connect CRM automatically or sync Shopify Customers to Salesforce via robust pipelines.

Visualization

We design the KPI Dashboard Design tailored to your specific role (CEO, CMO, Ops).

Why Sentinu Solutions?

Commercial Focus, Technical Rigor

Operator-Centric Design

We start from the questions your team needs to answer weekly and design backwards from there.

Full-Stack Data Engineering

We handle everything from API extraction to SQL modeling and BI configuration in one integrated project.

E-Commerce Native

Deep experience with Shopify, subscription models, multi-warehouse setups, and international tax/FX nuances.

Governance & Documentation

We leave you with documented metric definitions, diagrams, and playbooks so your team can extend the system safely.

Dashboards Deployed

80+

Data Sources Unified

10+

Reporting Time Saved

70%+

Executive Adoption

95%+

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Frequently Asked Questions

We already have Google Analytics. Why do we need a separate analytics stack?
Google Analytics shows web behavior, not your full business performance. It cannot accurately model profit, cohorts, inventory, or multi-channel operations. A dedicated analytics stack combines GA data with Shopify, Stripe, ERP, and CRM to give you a complete commercial view.
Do we need a data warehouse, or can we just connect tools directly to a BI dashboard?
Direct connections work at small scale but become fragile and inconsistent as soon as you add more sources and logic. A warehouse creates one central layer where metrics are defined once and re-used everywhere, avoiding conflicting numbers across dashboards.
Which BI tool do you use?
We are tool-agnostic and typically work with Looker Studio, Power BI, or Metabase depending on your stack and team preferences. The important part is the data model and metrics layer underneath, which we engineer to be portable across tools.
Do I need a Data Warehouse (BigQuery) or just Looker Studio?
If you have multiple data sources (e.g., Shopify + Facebook Ads + Google Ads), direct connections to Looker Studio often break or run slowly. We recommend a lightweight Data Warehousing Service to "clean" the data before visualizing it.
Who maintains the system after launch?
We can either train your internal team to own and extend the analytics stack, or we can provide an ongoing retainer where we handle maintenance, new metrics, and additional data sources as your business evolves.