Case Study: HoneyBook achieves scalable, automated analytics and faster insights with Panoply

A Scalable Data Solution to Empower Entrepreneurs

HoneyBook, a San Francisco–based client management software for creative entrepreneurs, faced the challenge of combining many disparate data sources to inform product decisions and scale its mobile and tablet offerings. The process had been resource intensive, relying on data scientists to manage ETL and performance tuning. To find a more scalable, agile approach, HoneyBook evaluated and adopted Panoply’s data analytics stack.

HoneyBook replaced its existing ETL management with Panoply, which streamlines JSON in real time, stores daily logs, provides storage-saving archiving, and self-optimizes storage and query performance to make reporting dashboards lightning fast. Panoply enabled HoneyBook to get up and running in mere minutes and saved countless man-hours on infrastructure and optimization, letting data scientists focus on modeling and delivering deeper customer insights and tailored solutions.

HoneyBook

Abhi Sivasailam

Lead Data Scientist