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.
Retail & FMCG
Dashboards & Analytics
Our Process
Our team of developers and DevOps engineers are working hand in hand with our client’s requirements. We have conducted planning sessions, to generate and discuss new ideas, knowledge sharing. To date, our collaboration has resulted in a full-fledged Dashboarding solution that has scaled and helped with real-time market insights. As the data analytics platform and its functional specifications regularly evolve, our client plans to expand our technical partnership by hiring more OraangeMantra specialists.
Conceptualization
Regular sessions with stakeholders were performed to keep a check on the business goals and required analytics metrics. Analysis of existing data sources were done with additional data integration requirements.
Design
Collaboration with IKEA on design elements was done to build an engaging and user-friendly dashboard interface. Focused on adding key performance indicators (KPIs) and appealing visualizations.
Development
Creation of functionality to forecast demand, define delivery times, and identify possible challenges was the next step. Testing for the refinement of dashboard to achieve accuracy was performed.
Deployment
Rigorous testing of data relevancy, accuracy, dashboard operations, were performed. Gradual deployment with continuous monitoring was done to eliminate issues or optimizations.
