Enhancing Data Analytics Efficiency and Scalability supported by Databricks
Profile: Leading E-Commerce Company
Objective: Over come Data Analytics challenge and achieve improvements in efficiency
Challenge: Slow Data Processing , could not accommodate growing demands and collaboration and efficiency was hampered due to lack of unified digital platform
Global Supply Chain Business
Profile: A global supply chain organization, generating over US$500 million in annual turnover
Objective: Establish Data Lake with Dashboard and Reporting
Challenge: Operating through a complex enterprise landscape evolved over a 25-year period, multiple systems, multiple data sources
Freight Forwarding & Logistics – Customer Quotation Process
Profile: European Freight Forwarding and Logistics company
Objective: Optimize Quotation Process
Challenge: Missed Opportunities on sales due to quotation being slow and incomplete
E-Commerce B2C Infrastructure
Profile: New B2C Organization which produces and supplies hydration bottles to athletics and fitness market.
Objective: Have visibility of orders and product supply, information about transit and monitor warehouse activity
Challenge: E-Store active but with no ERP or supplier integrations , No product consumption intelligence or links to store activity
Manufacturer & Tech Company
Profile : Global Manufacturing and technology company
Objective : Reduce overall logistics cost through mode selection and optimization
Challenge : Access Strategic supply chain options thorugh data 4PL intellegence