Using Premium Data for Analysts
summary
Begins with a business question (where to place 50 oyster carts) and shows actionable steps: start with open city data (DBpedia, Amsterdam museum feeds), prototype in the cloud (AWS EC2 spot instances, genome drive) or Excel using Power Query in Excel, then buy only what proves value. Demonstrates premium tools: Melissa address/email validation for cleaning, Dun & Bradstreet DUNS matching via an Excel add‑in (demo fills DUNS numbers), and Quandl for financial feeds; advises tuning matching algorithms, testing samples, and negotiating pricing.
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chapters (9)
- 0:00Introduction
- 3:54Premium data for analysts
- 8:08Start with free data
- 13:06Open data formats and tools
- 24:04Premium data for quality
- 31:51Azure data marketplaces
- 44:05Quandl financial example
- 49:03Summary and vendor tips
- 51:51Non-profit data initiatives
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