GWC Data.Ai
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Retail Data Warehouse & BusinessIntelligence Platform

Executive Summary

A leading retail organization required a modern analytics platform to replace manual reporting and improve visibility into business performance. By implementing a centralized data warehouse and BI environment, the organization transformed fragmented reporting processes into a unified analytics platform delivering faster, more reliable insights for leadership teams.

Business Challenge

Fragmented Reporting Across the Enterprise

The organization relied heavily on manually prepared Excel reports refreshed on a weekly basis. This process created delays, inconsistencies, and limited visibility across key departments ultimately constraining data-driven decision-making.

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Manual Excel Dependency

15+ reports manually refreshed weekly, consuming analyst time across CRM, Operations, Planning, and Supply Chain.

No Real-Time Visibility

Leadership lacked timely visibility into sales and inventory performance across 100+ retail stores.

Frequent Data Errors

Manual POS data consolidation introduced reporting errors and conflicting metrics across departments.

Unstandardized KPIs

Absence of standardized metrics caused inconsistent performance measurement across teams.

Departmental Data Silos

POS, CRM, and inventory data lived in disconnected systems, limiting cross-functional analysis.

Weekly Reporting Latency

Data refreshed only weekly, leaving decision-makers without current insights for strategic actions.

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Solution Approach

Centralized Retail Analytics Platform

GWC Data.ai implemented a centralized retail analytics platform that unified operational and transactional data across systems enabling consistent KPI tracking and automated analytics delivery across the organization.

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Secure SFTP Data Pipelines

Automated ingestion of retail system data through secure SFTP pipelines into the centralized platform.

Magic ETL Workflows

Optimized Domo Magic ETL workflows to cleanse, standardize, and transform datasets from multiple sources.

Unified Retail Data Model

POS, inventory, and CRM datasets combined into a single, consistent analytics model.

Department-Level Dashboards

Role-based dashboards deployed for CRM, Operations, Planning, and Supply Chain teams.

Automated Reporting

Scheduled alerts and automated report distribution workflows for all stakeholders.

Executive Drill-Down Views

Leadership dashboards with drill-down capabilities for store-level performance monitoring.

Data Quality Validation

Automated validation checks to ensure reporting accuracy and flag data anomalies.

Data Platform Architecture

SOURCE SYSTEMS
Retail POS Data
CRM Platform
Inventory Systems
Supply Chain Feeds
DATA WAREHOUSEUnified Model
OUTPUTS
Executive Dashboards
Department Reports
Automated Alerts
Store-Level Analytics

Business Impact

Measurable Business Outcomes

The new analytics platform significantly improved operational visibility and reporting efficiency — enabling leadership teams to make faster, data-driven decisions with greater confidence.

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90%

Reduction in Manual Reporting

Replaced 15+ manual Excel reports with automated dashboards across all departments.

75%

Improved Data Accuracy

Standardized KPIs and automated validation eliminated inconsistencies across teams.

85%

Faster Insight Availability

Reduced reporting latency from weekly to daily updates for all stakeholders.

70%

Increased Operational Visibility

Real-time performance monitoring across 100+ retail stores nationwide.

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Technology Stack

Tools & Platforms

Domo

Domo

Magic ETL, Reporting

SFTP Integration

SFTP Integration

Secure Data Pipelines

Jupyter Notebook

Jupyter Notebook

Data Analysis & Validation

Retail POS Systems

Retail POS Systems

Point of Sale Data

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