How to Start Selling a Big Data Product from Scratch: Three Must-Haves
summary
Explains how to start selling a Big Data product from scratch by covering three essential components: product-market fit, go-to-market strategy, and operational setup. Focuses on practical steps and requirements for launching commercial Big Data solutions (including likely aspects such as pricing, sales channels, and infrastructure) to move a project into production and revenue.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 3:11Three must-haves
- 10:42Sales process research
- 17:48Sales management features
- 23:48Client strategies
- 28:46First client contact
- 31:16Sales team training
- 35:37Q&A
related talks
43mFrom instinct to informed decision: launching data in your startup
25mYou’ve Got To Pivot Your Career, Just Like Your Products: How I Got Into Data
01h 00m3 Key Questions For Products Teams To Answer
23mHow to Build a Data-Intelligence Startup within your Organization
16mThe Secret To Why Technical Founders Struggle with Sales
32mHow to Start a Career in Data Science: Tips & Experiences
40mBuilding Successful Data Science Projects
07mWhere to start your Data Analytics Journey