12 very sharable stats on big data
TRANSCRIPT
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12 Very Sharable Stats on Big Data by Reagan Cook
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“You can have data without information, but you cannot have information without data.”
- Daniel Keys Moran
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How big is Big Data?
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According to a definition by IDC data can be described
as BIG once it reaches a threshold of 100 terabytes.
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That’s roughly the capacity of 6,000 iPhones. While that might seem like a lot, in today’s corporate world it’s really not that much.
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Almost all large retail brands now manage a database of at least 100 terabytes.
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For big tech companies like Facebook and Amazon, 100 terabytes can be collected in an afternoon.
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This ever increasing flood of data should provide a clear message to the C-suite:
Organize or Die.
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If you know a particularly stubborn executive who still isn’t moving on big data, perhaps one of the of following stats on will help change their mind.
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1. In 2000, 25% of the world’s stored information was digital. Today, more than 98% of all stored information is digital.
(Foreign Affairs)
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2. Global data production will be 44 times higher in 2020 than it was in 2009. (CSC)
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3. The digital universe will grow from 3.2 zettabytes in 2013 to 40 zettabytes in 2020.
One zettabyte is roughly a billion terabytes.
(Hadoop Summit 2014)
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What is a zettabyte? 1,000, 000, 000, 000 gigabytes 1,000, 000, 000, 000 terabytes 1,000, 000, 000, 000 petabytes 1,000, 000, 000, 000 exabytes 1,000, 000, 000, 000 zettabyte
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So roughly the storage capacity of 60 billion iPhones.
x 60 BILLION
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Where is Big Data coming from?
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4. An estimated 80 to 90% of the data in any organization is unstructured—or doesn’t fit neatly in a traditional row-column database. Some examples include Email messages, word processing documents, videos, photos, audio files, presentations, and Web pages. (Webopedia)
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5. More than 70% of data is created by individuals – but enterprises are responsible for storing and managing 80% of it.
(CSC)
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How is Big Data shaping business decisions?
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6. A lack of analytics tools an repressive data silos lead company’s to ignore 88% of their customer data.
(Forrester)
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7. 91% of US organizations have invested in data-quality initiatives in the past year.
(Experian)
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8. By 2015, 20% of Global 1000 companies will have established a strategic focus on “information infrastructure”.
(IDC)
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9. 65% of Chief Data Officer positions have been created
in only the past three years. (Experian)
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What is the monetary cost?
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10. Dirty data, or poor data quality, costs U.S. businesses $600 billion annually.
(Fathom)
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11. The 2014 mean base salary for a staff data scientist is $120,000, and $160,000 for a manager.
(Burtch Works)
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12. Companies that put data at the center of the marketing decisions improve their marketing return on investment (MROI) by 20%.
That adds up to $150 – $200 billion
of additional value based on global annual marketing spend of an estimated $1 trillion.
(McKinsey)