The document discusses how big data can be captured and used on university campuses. It defines big data as consisting of volume, velocity, and variety. It provides examples of the large amounts of data collected by some companies, and notes the challenges of finding useful insights within large datasets. The document recommends that universities identify technologists, partner with stakeholders, and ensure human insight is incorporated to effectively leverage big data on campus.

1. How can campus big data be
captured and incorporated?
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CRAIG NAPIER
PERFORMANCE INDICATORS UNIT

2. WHAT IS BIG DATA
Volume Velocity Variety
McAfee, A Brynjolfsson, E, Big Data: The Management Revolution, Harvard Business Review. Oct2012, Vol. 90 Issue 10, p60-68.
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3. SO HOW BIG IS BIG DATA
350
300
250
200
150
100
50
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1
0.0001
PetaBytes of Data
150B records
2.5
9.2
$3500 Sales
per second
0 2 4 6 8 10
Learning Analytics records
per day in DWH
0
Thousands
Harris, D 2013, http://gigaom.com, Why Apple,
eBay, and Walmart have some of the biggest data
warehouses you’ve ever seen

4. FINDING VALUE THROUGH THE NOISE
External
Data
Internal
Data
Sources
Internal
Data
Externally
hosted
“As an institution we must be able to gather
and manage the right data,
turn it into insights, and
translate those insights into effective
action’
McGuire T, McKinsey & Company
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5. WHERE TO FROM HERE?
• Identify and leverage technologists
• Partner with business stakeholders
• Human insight is essential
• Enhanced discoverability and consumability
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