Unstructured DataThe data for which structure can’t be defined is known as unstructured data. It becomes difficult to process and manage unstructured data. The common examples of unstructured data are the text entered in email messages and data sources with texts, images, and videos.
Explore Data & Analytics Statistics
- In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
- By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
- 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
- 14 percent of investment professionals use credit card and POS software data to derive data.
- 55 percent of North American businesses have adopted big data analytics.
- Content analytics usage among IT professionals increased from 43 percent to 54 percent between January 2018 and January 2019.
- 29 percent of investment professionals use expert networks to derive data.
- 36 percent of investment professionals use web scraping to derive data.
- Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
- Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
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