It’s no secret that external data can transform organizations’ data science and advanced analytics, but finding it is easier said than done. Even though there are thousands of data sources available, finding the right one and acquiring it can be a complex, resource-intensive process. It becomes even worse when you do it at scale.
So how can you ensure that you always have access to exactly the data you need? By building a data acquisition strategy that lets you find what you need, on demand. Having the right processes and infrastructure in place can radically change how you find and deploy external data.
This whitepaper discusses:
- Why you need a data acquisition strategy to get the most out of your analytics
- The key components of a successful data acquisition strategy
- The importance of being a data-hunting organization
- The characteristics of successful data hunters
