For budget-constrained organizations in government, non profits and journalism, the cost of acquiring data prevents them from ever analyzing the data, so reducing the cost of data is a priority for expanding its use. This series presents a vision for how analysts should acquire and use data to reduce cost and increase the use of data.
- Part 1: Rebuilding the Data Process. Data projects are run the same way a medieval cobbler made shoes. We need more modern techniques.
- Part 2: Industrial Production for Data. How specialization, standard packaging and mass distribution can deliver higher quality data at a lower cost.
- Part 3: A Plan for Building A California Health Data Infrastructure. By using industrial production and Open Source software, we can make health data analysis much easier.