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Empowering Retail Decisions

Updated: Oct 9

with Data-Driven Dashboards


In the world of electronics retail, every decision, from inventory allocation to sales forecasting, can make or break performance. Our client, a leading electronics retailer in India, was facing fragmented reporting systems, delayed insights, and inconsistent data across departments. By partnering with our analytics team, they embarked on a digital transformation journey that replaced manual, spreadsheet-based reporting with real-time, interactive dashboards.


Today, empowered with a single source of truth powered by SAP and Power BI, their teams make faster, data-backed decisions, achieving a remarkable 95% improvement in operational efficiency and unlocking new opportunities for growth.


India’s largest electronics manufacturer and retailer was struggling to make sense of its scattered subscriber and inventory data. 
India’s largest electronics manufacturer and retailer was struggling to make sense of its scattered subscriber and inventory data. 


At a Glance

  • Domain: Retail (Electronics)

  • Location: India

  • Programme: Analytics & Dashboard Implementation

  • Team Size: 7 experts

  • Business Users Impacted: 40

  • Technologies: SAP Business Warehouse, Business Objects, Web Intelligence, Power BI

  • Key Highlight: 95% efficiency improvement through centralised analytics


Project Highlights at a glace
Project Highlights at a glace

The Challenge


One of India’s largest electronics manufacturers and retailers was struggling with fragmented data sources and manual reporting processes. Each department – from sales to inventory and customer service – relied on its own isolated spreadsheets and reporting formats, leading to:


  • 95% dependency on manual work for generating critical business reports.

  • Delayed decision-making due to inconsistent and outdated data.

  • Lack of real-time visibility into inventory stock, causing overstocking in some regions and shortages in others.

  • Limited ability to understand customer purchasing patterns and subscriber base, hampering the launch of new offerings.

  • A growing gap between business users’ needs and the outdated analytics infrastructure.


In short, the organisation knew it had the data, but not the tools or structures to turn it into actionable insights.


The Objective
The Objective

The Solution


Our analytics team designed a comprehensive data warehousing and dash-boarding solution to bring order, speed, and intelligence into the client’s decision-making.

“Our goal was to move the client away from manual reporting to a centralised, automated, and intelligent decision-support system.”

The approach included:

  1. Stakeholder Collaboration: Conducted workshops with all SPOCs (single points of contact) across departments to understand their reporting pain points and information requirements.

  2. Data Structuring: Designed and implemented a proper data architecture, ensuring clean, standardised, and unified inputs.

  3. Data Warehousing: Built a centralised SAP Business Warehouse that pulled information from all functional areas—sales, inventory, customer service, and marketing.

  4. Analytics & Visualisation: Leveraged SAP Business Objects, Web Intelligence, Dashboards, and Power BI to create:

    • Real-time inventory dashboards.

    • Customer and subscriber base analytics.

    • Forecasting and trend visualisations to support new product launches.

  5. Automation: Automated manual reporting processes to save time and reduce human error.


ree

By combining robust data warehousing with interactive dashboards, the client gained a single version of truth across the enterprise.


The Results


Efficiency Gains

  • Achieved a 95% increase in reporting efficiency, reducing manual effort by 90%.

  • Reports that previously took days to compile were now generated in minutes.

Enhanced Decision-Making

  • Senior leadership gained real-time insights into sales, inventory, and customer behaviours.

  • Managers could track stock levels across multiple locations and optimise distribution, reducing overstocking and shortages.

  • Marketing teams could analyse subscriber base potential, supporting data-driven product launches.

Improved Customer Experience

  • By ensuring the right products were available at the right time and place, the company significantly enhanced customer satisfaction.

  • Faster decisions meant the business could react quickly to emerging market trends and customer demands.



“For the first time, our teams had a unified view of performance. This has changed the way we launch, sell, and serve our customers.” 

– Senior Retail Manager


Key Highlights


  • 95% efficiency improvement in reporting.

  • 90% reduction in manual work.

  • Real-time dashboards for inventory and sales.

  • Data-driven product launches and improved customer engagement.

  • Established a scalable foundation for future AI and advanced analytics.



Looking Ahead


The solution has laid the foundation for AI-enhanced retail intelligence, opening doors to predictive analytics for consumer behaviour and demand forecasting.


Is your IT environment cluttered with overlapping tools and rising costs? Are you struggling to connect technology investments with measurable business outcomes?


We at Quantum Digital specialise in AI, data analytics consulting and digital roadmaps that turn IT complexity into a clear, cost-efficient strategy. Let’s partner to align your technology investments with your business goals.



 
 
 

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