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Data & Analytics

Enterprise Data Warehouse & BI Dashboard

Real-time analytics and predictive modeling for retail

A centralized data warehouse solution powering a visually striking and highly interactive Business Intelligence dashboard for C-level executives.

Retail Analytics8 monthsTeam: 12$180,000Completed

Technology

SnowflakedbtReactPython

Platform

WebTablet
500TB+
storage
<2s
speed
300%
roi
Overview

Project Overview

Our team consolidated disparate retail and marketplace data into a unified enterprise data warehouse. On top sits a fast React BI experience with predictive sales modeling, anomaly detection, and granular revenue views for executives on desktop and tablet. ETL pipelines cleanse high-volume feeds; optimized models keep queries under two seconds—so merchandising and finance teams act on live e-commerce signals instead of stale spreadsheets.

Client Context

Retail data analytics.

Predictive Analytics

Mobile Ready BI

Challenges

Key Challenges

Obstacles we identified and addressed during the project.

  • 1ETL pipelines handling massive unsanitized data
  • 2Slow query performance
  • 3Executive requirement for mobile access
Solutions

Our Solutions

Technical and strategic approaches that resolved each challenge.

  • Implemented Snowflake and dbt
  • Optimized materialized views
  • Developed a responsive PWA
Highlights

Project Highlights

Key features and achievements delivered.

1

Predictive Analytics

2

Mobile Ready BI

Goals

Strategic Objectives

Strategic objectives that guided the project.

Eliminate report lag

Uncover hidden revenue metrics

Strategy

Implementation Approach

Implementation approach and technical decisions.

1

Data cleansing

2

Warehouse design

3

BI Visualization

Outcomes

Achieved Results

Measurable results and business impact.

Operational Efficiency

Decisions made 4x faster

Client

Our Client

Who we built this for.

DataMetrics Inc

Retail Analytics · Mid-Market · USA

Retail data analytics.

Client Requirements

  • 1

    Sub-second reporting

  • 2

    Data integrity

Fundamentally shifted our strategy.

Sarah H.
Sarah H.

CDO

Solution

Proposed Solution

Our approach and rationale.

Our Approach

Modern data stack with Snowflake.

Why We Choose This Solution?

  • Scalable storage
  • Separation of compute
Data Warehouse BI

Benefit of This Solution

Real-time predictive insights empower proactive decisions.

Features

Key Features

Core platform capabilities delivered.

Custom BI

Role-based dashboards

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Retail Data Warehouse Case Study | Ctas Info Services