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May 9, 2025
EDA in Snowflake for Dummies: Explore Smarter, Not Harder
Exploratory Data Analysis; Data Science
Buildings are aging and yet, with the economic uncertainty, material prices are highly volatile. Better forecasting and planning is more important than ever given the circumstances.
Forecast more accurate project timelines, costs and resource requirements to reduce cost overruns, and optimize crew and equipment deployment.
Use data from IoT sensors and drones to track worker movements and equipment usage to detect safety risks and potential delays.
Track raw material suppliers’ and sub-contractors’ adherence to SLAs in real-time to ensure on-time delivery.
Use historical data to predict asset wear-and-tear and proactively run maintenance to increase the asset lifecycle. Further, make purchasing decisions based on past performance of assets by supplier.
Balance tenant demand and market comps to identify the optimal rent pricing that maximizes occupancy and rental income.
Monitor expense GLs to identify cost categories and plan budgets accordingly. Identify and rectify anomalies while you are at it.
Ensure field technicians and inspectors are compliant with organizational policies and procedures by leveraging AI.
Analyze tenant reviews to identify and fix recurring issues in a property so potential applicants are not turned off.
Real-world success stories proving the value of data-led strategy.
Ensured compliance by generating and sending out loan application status in compliance with government regulated SLAs.
Reduced customer database by 78% with deterministic and fuzzy matching rules to identify duplicates
Stitched together Customer 360 and used that for personalized marketing increasing CLV and AOV.
Reduced cost of asset maintenance with preventive workflows
Gen AI chatbot for salespeople to have hundreds of thousands of products at their fingertips and search intelligently
Stay ahead with the latest thinking on data, AI, and innovation in banking.
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