Optimizing Retail Performance With Looker for A Major US Retailer
Introduction to Optimizing Performance With Data-Driven Insights
As a fast-growing retail chain, the client needed a more advanced analytics framework to keep up with increasing demand. Their existing system lacked real-time insights and predictive analytics, limiting their ability to forecast sales and manage inventory effectively. They sought a Looker-based solution to centralize data, improve reporting accuracy, and enable proactive decision-making.
Client Requirements to Optimize Data Analytics with Looker
Create a looker dashboard to automate the Cost Per Unit calculation process for each variable between the current and previous fiscal year to eliminate the manual ETL and CPU calculation process in excel from Snowflake data tables.
Build a looker dashboard to track the actual vs projected values for each variable for the current fiscal year and showcase the actual values for each variable for the previous fiscal year.
Our Personalized Solutions Addressing the US Retailer’s Need
Queried a data pipeline to transform and load raw data from various platforms into the targeted tables in Snowflake.
Built multiple bar graphs to project the monthly and yearly CPU values between both the fiscal year for each variable.
Added week, month, and a variable filter to show the desired CPU values based on the user selection.
Created multiple single-value card graphs to show this year’s vs. last year’s weekly, monthly, and yearly CPU values as well as calculated WoW, MoM, and YoY % change values for the selected variable.
Created an overview table to show the CPU values for both fiscal years for all the variables.
Created a line chart to project the actual as well as the forecasted values for the current fiscal year and actual values for the previous fiscal year.
Added a variable filter to showcase the actual and estimated values for both fiscal years based on the user-selected variable.
Powerful Results That Elevate Business Performance
Runtime Reduction
Achieved a 60% reduction in runtime by transitioning from manual data loading in Excel to automated processes within Looker.
Decision-Making Aid
The dashboards offer valuable insights into data trends and market fluctuations, facilitating better-informed decisions.
Single View
By consolidating multiple graphs and charts into a single view, users can quickly and efficiently comprehend data trends.
Easy To Share
Dashboards can be exported in various formats, which facilitates easy sharing with stakeholders, users, and analysts via email or group chats.
