This solar energy technology provider is improving more than 100 million lives in 70 countries, thanks in part to insights gleaned from Oracle Autonomous Data Warehouse and Oracle Analytics.
About 2 billion people worldwide live without reliable access to electricity. The key mission for d.light is to bring the benefits of solar energy to those people, mostly in Africa, China, and India.
The company offers a range of affordable solar-powered appliances, including its flagship “Everyday Lantern,” as well as TVs, radios, fans, flashlights, and charging stations. Since 2008, d.light has leased more than 20 million of those solar-powered products in 70 countries for as little as 50 cents per day under a pay-as-you-go business model whereby the customer eventually owns the product. This model presented challenges in terms of tracking customer accounts and analyzing behavorial and market data.
Our goal is for people across the globe, regardless of their income level, to be able and happy to transition to renewable energy.Sam Goldman, President and Cofounder, d.light
With its inexpensive, highly durable, solar-powered lamps, d.light set out in 2006 to provide renewable energy to the world’s most disadvantaged people.
The company’s pay-as-you-go model—whereby customers make micropayments daily or weekly, then keep the technology once it’s paid off—made rapid data collection and accurate analysis a high priority. The company found that it needed a more reliable, easy-to-deploy, easy-to-manage data warehouse with visual analytics, preferably in the cloud, says Technology Director Jeremiah Ochieng.
The company turned to Oracle Autonomous Database and Oracle Analytics—both of which run on Oracle Gen 2 Cloud Infrastructure—to consolidate customer and other data previously locked up in spreadsheets. Now d.light can run data queries in minutes rather than hours to get a holistic view of its business.
Oracle Autonomous Database
Oracle Autonomous Data Warehouse reduced the time it takes to load and report data from 12 hours to minutes, reducing DBA workloads by 75 percent.