Goafreet
HomePortfolioSupport
AI, AUTOMATION & DATA
Tier B

📊Enterprise Data Engineering, Pipelines & BI Dashboards

Consolidate scattered business data into centralized cloud data warehouses (BigQuery, Snowflake, PostgreSQL) and high-impact executive BI dashboards that drive confident commercial decisions.

Automated ELT/ETL Pipelines via dbt, Airflow & Fivetran

Centralized Single Source of Truth Cloud Data Warehousing

Interactive Executive Dashboards in Metabase, Power BI & Looker

EXECUTIVE SUMMARY

Goafreet architects resilient data engineering pipelines and delivers actionable business intelligence (BI) dashboards for growing enterprises. By extracting raw data from disparate ERPs, CRM platforms, ad networks, and transactional databases, we transform fragmented spreadsheets into centralized, well-modeled data warehouses. Our analytics team in Vadodara turns complex data models into intuitive, real-time executive dashboards that uncover revenue leaks, track unit economics, and empower leadership with real-time operational clarity.

OPERATIONAL & COMMERCIAL CHALLENGES

Business Problems We Solve

Disjointed Data Trapped in Siloed Spreadsheets

Finance, marketing, and sales departments using conflicting spreadsheets with mismatched figures and contradictory KPI definitions.

Manual, Slow Reporting Processes

Analysts spending days at the end of each month manually copying, pasting, and reconciling CSV files to prepare executive board decks.

Slow Analytical Queries Crashing Production Databases

Running heavy operational queries directly against live transactional application databases, causing timeouts and user outages.

Lack of Attribution & Unit Economic Clarity

Leadership unable to accurately evaluate true customer lifetime value (LTV), blended customer acquisition costs (CAC), and channel profitability.

BEST SUITED FOR

Who Benefits Most

Growth-stage companies outgrowing manual Google Sheets and fragmented reports

Multi-channel retail and ecommerce brands needing unified sales, inventory, and marketing data

B2B enterprises requiring single-pane-of-glass executive KPI tracking and revenue forecasting

Leadership teams preparing for board meetings, audits, or institutional fundraising

WHEN IT IS NOT APPROPRIATE

When to Consider Alternatives

Micro-businesses with fewer than 50 total monthly customer transactions

One-time ad-hoc spreadsheet chart formatting requests without data pipeline needs

Organizations unwilling to grant read-only API access to core operational platforms

DETAILED SERVICE MODULES

What Goafreet Actually Delivers

Every engagement is scoped with modular precision. Below are the key execution modules included in this service.

Automated ELT/ETL Data Pipeline Engineering

Designing automated data extraction and ingestion pipelines connecting ERPs, Stripe/Razorpay, ad networks, and databases into centralized storage.

Core Activities:

Configuring scheduled batch and real-time streaming data ingestion jobs

API connector development for proprietary or unsupported legacy business systems

Automated schema drift detection and pipeline error alerting

Deliverable: Fault-tolerant automated data ingestion pipeline
Cloud Data Warehouse Architecture & Data Modeling

Structuring scalable, high-performance data warehouses on Google BigQuery, Snowflake, or AWS Redshift using dbt (data build tool).

Core Activities:

Dimensional modeling (star schema / snowflake schema) for analytical speed

Transforming raw staging tables into governed fact and dimension business models

Partitioning and clustering optimization to minimize cloud query compute costs

Deliverable: Documented dimensional data warehouse schema and dbt transformation repository
Executive Business Intelligence (BI) Dashboards

Building interactive, real-time visual dashboards in Metabase, Microsoft Power BI, or Looker Studio tailored for C-suite decision-makers.

Core Activities:

Executive KPI dashboard design (Revenue, EBITDA, CAC, LTV, Churn)

Drill-down capabilities by region, product SKU, sales rep, and cohort

Automated daily/weekly executive summary email digests and Slack snapshots

Deliverable: Interactive BI dashboard suite with role-based access controls
Data Governance, Quality Auditing & Cataloging

Implementing automated data validation tests, standardized KPI business dictionaries, and strict access controls.

Core Activities:

Automated data freshness and null-value regression testing via Great Expectations / dbt-test

Standardized business metrics catalog aligning definitions across departments

Role-based access control (RBAC) ensuring sensitive employee/salary data remains confidential

Deliverable: Data Quality Test Suite & Central Metric Dictionary
TRANSPARENCY & ARTIFACTS

Deliverables Matrix

DeliverablePurpose & ValueFormatClient Input Required
Data Architecture & Schema BlueprintMaps data sources, transformation layers, and analytical models
Technical Architecture Document (Markdown / DBML)
Source system credentials, database schemas, KPI definitions
Cloud Data Warehouse & dbt RepositoryClean, version-controlled SQL data transformation codebase
GitHub / GitLab Repository + Live Cloud Warehouse
Cloud provider account access (GCP, AWS, Snowflake)
Executive BI Dashboard PortalLive interactive dashboards accessible to leadership and team leads
Metabase / Power BI / Looker Studio Workspaces
Target dashboard mockup preferences and user email list
Metric Dictionary & Data Governance GuideCodifies exact mathematical formulas for every reported company metric
Notion / Google Docs Documentation
Finance and operational leadership consensus on formulas
ENGINEERING & OPERATIONAL DEPTH

Technical Architecture & Execution Model

Our modern data stack (MDS) decouples ingestion from analytical modeling, ensuring high query speeds and complete data immutability.

Ingestion Layer

Fivetran, Airbyte, or custom Python workers pulling data via secure API webhooks.

Storage Warehouse

Columnar cloud storage (BigQuery / Snowflake / Redshift) optimized for complex analytical aggregations.

Transformation Engine

dbt (data build tool) managing modular, tested, and version-controlled SQL models.

Semantic BI Layer

Metabase or Power BI delivering role-based dashboards with automated daily caching.

SUPPORTED STACKS & TOOLS

Technologies & Platforms

Google BigQuery
Snowflake
PostgreSQL
dbt
Python
Airbyte
Apache Airflow
Metabase
Power BI
Looker Studio
PHASED EXECUTION ROADMAP

Delivery Process & Decision Gates

PHASE 01
Data Audit & Metric Alignment

Auditing current data sources, identifying data discrepancies, and defining canonical business KPI formulas.

Gate: Metric Dictionary & Data Pipeline Scope Approval
PHASE 02
Warehouse Setup & Ingestion Pipeline

Provisioning cloud warehouse, configuring ingestion connectors, and validating initial raw data loads.

Gate: Raw Data Ingestion & Warehouse Connectivity Sign-off
PHASE 03
dbt Modeling & Data Testing

Writing dimensional transformation models, building automated data tests, and reconciling against finance records.

Gate: Data Reconciliation & Model Accuracy Verification
PHASE 04
Dashboard Development & Executive Rollout

Designing visual dashboards, configuring access permissions, setting up automated email digests, and training leadership.

Gate: Executive Acceptance & User Training Complete
Governance & Cadence

Bi-weekly sprint progress reviews, automated daily pipeline failure alerts on Slack, and monthly warehouse compute cost audits.

Quality Assurance

Automated dbt assertions ensuring primary key uniqueness, referential integrity, and freshness checks on all critical fact tables.

Security & Privacy

Strict read-only service accounts, column-level data masking for PII, encrypted data at rest and in transit, and complete SOC-2 compliance.

REALISTIC SCENARIOS

Use Cases & Applications

Omnichannel D2C Unified Profitability Dashboard

Integrated Amazon, Flipkart, Shopify, and Meta Ads data into BigQuery, providing leadership with automated daily net margin and true blended CAC tracking.

B2B SaaS Sales Pipeline & Churn Analytics

Consolidated Stripe billing, HubSpot CRM, and product event data into Metabase, identifying churn predictors 60 days before contract renewals.

Manufacturing Multi-Plant Production BI

Automated monthly operational reporting across 4 regional manufacturing facilities, cutting monthly financial close reporting time from 10 days to 4 hours.

Applicable Industries:
D2C E-Commerce & Retail
B2B SaaS & Tech
Manufacturing & Industrial
Healthcare Services
Financial Services
EXTERNAL DEPENDENCIES
Factors That Influence Outcomes

Reporting accuracy depends on source data hygiene (e.g. sales reps entering complete CRM fields) and timely resolution of upstream source schema changes.

Transparent Boundaries & Disclaimers

Goafreet does not guarantee that BI insights will automatically increase business profit without executive action on the surfaced operational bottlenecks.

Read Complete Legal Performance Disclaimer →
CLIENT RESPONSIBILITIES
Prerequisites for a Successful Engagement

Access or API credentials to source platforms (ERPs, CRM, payment gateways, ad accounts)

Cloud platform account (Google Cloud, AWS, or Snowflake) for warehouse hosting

Designated finance or operations lead to validate historical financial reconciliation numbers

Agreed-upon list of core executive KPIs and reporting definitions

THE GOAFREET DIFFERENCE
Why Choose Goafreet

We are software engineers and business analysts who understand the bottom line. Our Vadodara team doesn't just build pretty charts; we engineer rock-solid data foundations that leadership can trust completely.

Operating from Vadodara, Gujarat — delivering unified engineering, media, and growth solutions globally.
PROCUREMENT & TECHNICAL INQUIRIES

Frequently Asked Questions

Metabase is an open-source, lightweight BI tool that can be self-hosted with zero per-user licensing fees, making it exceptionally cost-effective for whole-company access. Power BI is best suited for organizations already deeply invested in the Microsoft 365 enterprise ecosystem.

We implement partitioned and clustered tables, incremental dbt models (processing only new/changed rows rather than full tables), and automated query limits to ensure cloud warehouse costs remain predictable and minimal.

No. We extract data using read-replicas, incremental change-data-capture (CDC), or off-peak scheduled batches, ensuring zero performance impact on live customer-facing applications.

Depending on your business needs, data can refresh hourly, daily, or every 15 minutes. For most executive reporting, hourly or daily morning refreshes provide the optimal balance between timeliness and compute efficiency.

INITIATE ENGAGEMENT

Transform Raw Data Into Executive Clarity

Consult with Goafreet's data engineering architects in Vadodara to consolidate your company data pipelines and deploy actionable executive dashboards.