This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Centralized Data Analytics Platform with Real-Time Dashboards for Food Production Company

effectivesoft.com

Food & Beverage

Manufacturing

Challenges in Data Management and Analytics

Fragmented data sources across US divisions, outdated and costly analytics infrastructure, lack of real-time performance visibility, and the need for intuitive reporting tools compatible with existing Excel workflows

About the Client

A global producer of convenience food and instant noodles with multiple divisions across the USA requiring unified data insights

Project Objectives

Implement centralized data warehouse for unified analytics
Deploy real-time dashboards for C-level decision-making
Reduce maintenance costs of analytics infrastructure
Enable role-based data access for division heads
Ensure seamless adoption for Excel-experienced users

Core System Functionalities

Automated ETL pipelines from multiple data sources
Interactive Power BI dashboards with drill-through capabilities
Dynamic row-level security (RLS) for geography/role-based access
Mobile-accessible reporting applications
Scheduled data refresh from SQL Server database

Technology Stack

MS SQL Server

Power BI Desktop

Data Analysis Expressions (DAX)

Power Query M

System Integrations

Existing Microsoft SQL Server databases
Mobile device platforms for app access

Non-Functional Requirements

Scalable architecture for growing data volumes
High-performance dashboard rendering
Enterprise-grade data security
User-friendly interface for Excel-transitioning users

Expected Business Impact

Enhanced operational efficiency through real-time KPI monitoring, improved data-driven decision-making across sales/marketing/finance functions, reduced analytics maintenance costs, and accelerated business growth through actionable insights from centralized data repository