Better Insights with a Unified, AI-Powered Retail Data Analytics Solution

Business Opportunity

Real-Time Analytics with a Data Platform

Gobi Cashmere is a premium cashmere producer based in Mongolia. Founded in 1981, it has become one of the top five vertically integrated manufacturers focusing on cashmere, camel wool, and other items. They have six official branch stores located in Berlin, Hamburg, Düsseldorf, Tokyo, Los Angeles, Hong Kong, and Erlian, along with 62 franchise outlets worldwide. 

Gobi’s systems operated in silos with multiple data sources, restricting their capability to get consolidated insights to make business decisions with a wider view.

Niveus Solutions, Part of NTT DATA, built a unified window for streamlined sales and customer engagement, helping boost sales by integrating with company-wide KPIs. The platform features real-time data gathering that consolidates data from diverse sources, dashboards, and advanced analytics for faster decision-making.

The Challenge

Gobi Cashmere faced challenges like –

• Data Silos and Fragmentation: Disparate systems and multiple data sources created isolated data pockets, making it difficult to obtain a unified view of business performance.
• Limited Data-Driven Decision-Making: Lack of consolidated insights hindered strategic planning, slowing down response times to market trends and customer demands.
• Manual and Inefficient Processes: Heavy reliance on manual data aggregation and reporting led to inefficiencies, errors, and delays in decision-making.

Our Solution

We developed a serverless, low-code data platform that streamlines the ingestion and modeling of raw data, transforming it into actionable insights. The solution efficiently orchestrates data model creation to automate report generation and insights while providing expert consultation on monitoring ETL operations and implementing robust data security best practices. 

For ingestion, sources such as eCommerce applications and databases were directly integrated via Fivetran Console/UI and APIs using Google Cloud Run. In the warehousing and reporting layer, necessary reports were analyzed to determine the required replication layer tables, with resulting queries tailored to the customer’s business logic and orchestrated using Cloud Composer. Reporting and dashboarding were facilitated through Looker Studio for KPI visualization, while advanced analytics leveraged BigQueryML’s ARIMA and k-means clustering algorithms for demand forecasting and customer segmentation.

Results

• Improved Efficiency with Automation – Reduced manual effort through automation, allowing focus on strategic initiatives, improving efficiency. 
• Enabled Collaboration with Seamless Data Consolidation – Unified all data sources on GCP, eliminating silos and improving collaboration.
• Enabled Data-driven Decision Making – Enabled comprehensive insights with a strong data infrastructure.
• Enhanced Sales Optimization – Improved forecasting accuracy with advanced algorithms, maximizing revenue.

Power of Partnership

Niveus brings deep expertise in cloud-native data solutions, ensuring seamless integration, automation, and advanced analytics for the implementations. With a strong proficiency in Google Cloud technologies, we helped the client build a scalable, secure, and efficient data ecosystem. 

Our approach focused on end-to-end data modernization, enabling seamless ingestion, warehousing, and analytics to drive actionable insights. By implementing automated workflows, we reduced manual effort and enhanced operational efficiency. With a customer-centric approach, Niveus delivers tailored implementations that maximize business value and accelerate digital transformation.

Benefits of Niveus-built Data Platform

• Scalability & Flexibility – Adapts to growing data needs with cloud-native architecture.
• Advanced Analytics & AI – Enables predictive modeling and trend analysis for better forecasting.
• Security & Compliance – Ensures data integrity with robust security protocols and regulatory adherence.
• Improves Collaboration – Enhances cross-functional data access for better teamwork and innovation.