Fast-Moving Consumer Goods
Middle East
Snowflake, SAP, S3 Bucket
Our client belongs to the FMCG (Fast-Moving Consumer Goods) industry in the Middle East and ensures the quality and safety of its products while also meeting consumer demand through effective marketing and distribution strategies.
Our client’s specification was the improvement of business outcomes through a data management solution that provides a unified view of data and can offer several benefits, including the ability to make more informed decisions, continually optimize their products and marketing strategies based on customer insights, reduce analytics processing and reporting time, cost-effectively retain valuable historical data, and be more agile and adapt to rapid changes in the market. By implementing such a solution, the client can access a comprehensive view of the data that can be used to drive better business outcomes and improve the overall customer experience.
Users had to wait for several minutes to either load a dashboard or received errors while accessing certain dashboards. These issues led to decreased user satisfaction and productivity.
As data processing requirements increased, the cost of scaling up the Amazon platform increased exponentially, making it cost-prohibitive for the business to keep up with its growing needs.
1. Migration of data from various sources, including Oracle, SAP, etc.
2. The data was pushed into Snowflake Cloud once it was migrated, which served as the main repository for all the data.
Provided a unified view of data, which allowed for more informed decision-making. This unified view of data brought together information from various sources, making it easier for our client to analyze and understand customer behaviour and market trends. The key benefits are enlisted here:
• Reduced analytics processing and reporting time from hours to minutes allowing the client to make more informed and timely decisions.
• Allowed cost-effective retention of historical data. The client could store and analyse large amounts of data over a longer period, without incurring significant costs. This allowed for better trend analysis and forecasting, leading to more effective decision-making.
• Enabled the agility to adapt to rapid COVID-19 changes. This allowed the client to quickly adjust their strategies and operations to better suit the changing market conditions, leading to better business outcomes.
One key benefit was the improvement in dashboard performance, with dashboards now loading in seconds and meeting the business SLA. This led to increased user satisfaction and productivity.
Flexibility in scaling up or down and providing different warehouse sizes as per requirement: this flexibility provided the business with the ability to optimize its data processing capabilities based on its evolving needs, while also keeping costs under control. This increased flexibility also allowed the business to handle sudden surges in data processing requirements, without having to incur unnecessary costs.
Saved cost with pay for what has been used billing while increasing the performance: This allowed the business to only pay for the resources it needed, rather than incurring the cost of maintaining a larger data processing infrastructure than necessary.
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