Database Reference
In-Depth Information
Balance between the business users who make decisions using data
and the technologists who manage and deliver the data
Balance between focusing on a few key metrics and the flexibility to
change measures of success as needs evolve
Balance between the deep analysis of data scientists and the direct
reporting that provides the most important data in a simple format
Balance between data presentation that puts understanding first and
data products that use aesthetics to capture an audience's imagination
A data fluency framework can help to provide guidance about how to make
the right choices. The following chapters will explain the four quadrants of the
framework and the organizational capabilities needed to avoid the struggles
just described.
NOTES
1.
Avande, “Global Survey: Is Big Data Producing Big Returns?” June 2012.
Retrieved July 31, 2014 from: http://www.avanade.com/Documents/
Research and Insights/avanade-big-data-executive-summary-2012.pdf
2.
Pamela Vagata and Kevin Wilfong, “Scaling the Facebook data warehouse
to 300 PB,” 2014. Retrieved July 31, 2014 from: https://code.facebook.com/
posts/229861827208629/scaling-the-facebook-data-warehouse-to-300-pb/
3.
Oracle, “An Overview of Oracle Business Intelligence Applications,” June
2009. Retrieved July 31, 2014 from: http://www.oracle.com/us/solutions/
business-intelligence/064103.pdf
4.
Amy Gallo, “Making Your Strategy Work on the Frontlines,” Harvard
Business Review Blog Network, June 24, 2010. Retrieved July 31, 2014
from: http://blogs.hbr.org/2010/06/making-your-strategy-work-on-t/
5.
Alex Woodie, “Big Data Spending to Hit $8M Per Organization, IDG
Says,” Datanami, January 16, 2014. Retrieved July 31, 2014 from: http://
www.datanami.com/datanami/2014-01-16/big_data_spending_to_hit_$8m_
per_organization_idg_says.html
 
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