CHAPTER 8Data Types and Sources
Let’s get back into the heart of our Five Forces of Customer Experience and focus further on data before exploring the y-axis in more detail. In this chapter, we will examine types and sources of data that are critical to target and leverage in order to enrich your Customer 360 activations. Of the subforces of data mentioned in Chapter 4—availability, authority and authenticity—the focus here is on the types of available data that are worth untrapping while addressing authority and authenticity (and AI) a bit too.
EVOLUTION OF DATA TYPES
The growth and evolution of data have fundamentally transformed how we handle and utilize them. The global volume of data is projected to reach 175 zetabytes by 2025.1 (For context, one zetabyte is equal to 1021 bytes or a trillion gigabytes)
Traditional data types such as integers, floats, strings, arrays, and Boolean expressions formed the foundation for data representation in programs and databases. These highly organized data are considered “structured” data. Data from places such as social media, videos, and websites are considered “unstructured data.”
The mix of structured and unstructured data is referred to as “semi-structured” data. Semi-structured data could include an image that is tagged with some label information. An email, for example, is considered semi-structured because the date and time of an email are structured data, while the email contents are unstructured. The fastest category of data ...
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