Contact Us

Analytics-Powered Dashboarding for a Top Furniture Brand’s Market Research

Overview

Our client, IKEA is one of the largest furniture manufacturers in the global home appliances industry. To enable continuous development, the company needed a dashboarding solution. This will allow regional managers, marketers, to process historical, current, and expected data to generate sales and marketing insights. This would facilitate more efficient resource allocation and decision-making in the company’s furniture businesses. By teaming up with OrangeMantra, our client built an advanced dashboarding platform to drive marketing insights in India using a powerful combination of big data technology together with retail expertise.

Industry

Retail & FMCG

Services

Dashboards & Analytics

Our Process

With the aim of ensuring consistent, automotive and centralized decision-making for their business, we helped IKEA to build a sophisticated dashboarding platform providing real-time visibility into operations and validating data. Powered by big data predictive analytics, this solution revealed opportunities for improving our client’s business in specific regions and increase sales efforts. Besides aggregating and analyzing information, the dashboarding solution being developed by the OrangeMantra team represents data in a meaningful manner. Visual help sales, and marketing experts on opportunities that have yet to be activated. Backed by reliable data, this set of tools also provides inventory and sales predictions used by our client to avoid overstocks and stockouts.

1
Improved Data Quality

Addition of data validation processes and automation resulted in improved data quality and consistency, ensuring clients to have accurate and reliable insights.

2
Scalable Architecture

The dashboard architecture was designed to scale efficiently, managing large data volumes without impacting performance, ensuring responsiveness even data grows.

3
Real-time Data Updates

Utilization of automation, caching mechanisms, and fast data processing frameworks enabled real-time updates, providing users accurate information.

The Problem

Limited automation and scalability as well as the use of legacy technologies stalled the growth of their business expansion. As the company wanted to move to the next level by leveraging the most advanced technologies for market analysis and processing, it needed a seasoned technical partner. They chose OrangeMantra to streamline and future-proof their solution based on our proven expertise in data analytics, data engineering, and custom dashboarding solutions.

Our Role

  • Conceptualization
  • Design
  • Development
  • Deployment

Project Challenges

Sluggish Data Updates

Providing real-time data updates was a real challenge, especially when dealing with large datasets with manual operations.

Low Quality Data

Inconsistent data resulted in inaccurate insights and visualizations for the client. Moreover, challenges were present to balance visually appealing design with functional efficiency.

Results

With the aim of ensuring consistent, automotive and centralized decision-making for their business, we helped IKEA to build a sophisticated dashboarding platform providing real-time visibility into operations and validating data. Powered by big data predictive analytics, this solution revealed opportunities for improving our client’s business in specific regions and increase sales efforts. Besides aggregating and analyzing information, the dashboarding solution being developed by the OrangeMantra team represents data in a meaningful manner. Visual help sales, and marketing experts on opportunities that have yet to be activated. Backed by reliable data, this set of tools also provides inventory and sales predictions used by our client to avoid overstocks and stockouts.

1.Improved Data Quality

Addition of data validation processes and automation resulted in improved data quality and consistency, ensuring clients to have accurate and reliable insights.

2.Scalable Architecture

The dashboard architecture was designed to scale efficiently, managing large data volumes without impacting performance, ensuring responsiveness even data grows.

3.Real-time Data Updates

Utilization of automation, caching mechanisms, and fast data processing frameworks enabled real-time updates, providing users accurate information.

Our clients absolutely love us