Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things by Bernard Marr

Author:Bernard Marr [Marr, Bernard]
Language: eng
Format: azw3, epub
Publisher: Kogan Page
Published: 2017-04-03T04:00:00+00:00

Taking a look at newer types of data

The fact that we’re leaving more and more digital traces than ever before creates many new types of data for companies to work with. Some of the data we can now collect is new (like biometric data from an Apple Watch), while some has been around for ages but we’ve only recently found ways to really analyse it (conversation data from customer service calls, for instance). Therefore, I wanted to spend a bit of time highlighting the many new types of data that companies have at their disposal: activity data, conversation data, photo and video data, and sensor data. It’s important to be clear that all of these are still either structured, unstructured or semi-structured types of data. I have simply grouped them together here because they represent some of the biggest business-related leaps in data and analytics – which makes them useful considerations for any data strategy.

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