Digital data is growing exponentially; doubling every
two years to reach an expected volume of 40,000
exabytes by 2020. The mountain of Big Data
presents immense opportunities for businesses
ready to summit its peak, but the journey requires
careful preparation. Electric Lightwave helps
businesses equip their network infrastructure to
handle big requirements for Big Data.
SPOTTING THE
GROWING PEAK
FROM THE BEGINNING OF TIME THROUGH 2003
How big is Big Data?
BY 2020
IF 1 BYTE EQUALED
A SPRINKLE OF DIRT
the amount of data created
each day will be
the amount of data created each day
would be the size of
45
TIMES
MT. EVEREST
the size of Mt. Everest
KNOWING THE TOPOGRAPHY
32%
So, who’s producing all the data?
BY BUSINESSES
CONSUMER DATA
IS DOUBLING
EVERY
BUSINESS DATA
IS DOUBLING
EVERY
DATA
CREATION
STORING,
PROTECTING,
MANAGING
68%
THREE
MILLION
700,000
PIECES OF
CONTENT
are shared
on Facebook
BY
CONSUMERS
GOOGLE SEARCHES
take place
EVERY
MINUTE
17,000
CUSTOMER
TRANSCTIONS
are uploaded into
Walmart databases
DEFINING A PATH
Why does all that data matter ?
In 2020, there will be 40,000 exabytes of data,
doubling in size every year. 33% of it will have
analytic value, up from 25% today — but only
3% of it has been tagged and analyzed so far.
This is the “Big Data Gap.”
In that gap lies opportunity.
BIG
DATA
GAP
25%
3%
66% OF BUSINESS DECISION MAKERS
agree that tapping Big Data will help them
make better business decisions faster.
59% Improving Operational Efficiency
54% Boosting Sales
48% Becoming More Agile
46% Attracting and Retaining New Customers
Businesses Leveraging
Big Data are
2.2X 3X
As Likely to Outperform
Industry Peers
As Likely to Execute
Decisions as Intended
...and They are Creating
5X 1.6X 2X 2.5X
More Likely to Make
Decisions Faster
More Revenue
Growth
More Profit
Growth
More Stock
Appreciation
SCALING THE MOUNTAIN
How can you capture the big opportunity of Big Data ?
Establish target areas of impact for Big Data
Zero in on the business functions where you can drive improvement and effectiveness
Size up data management and analytics capabilities
Identify gaps and areas where partners or added talent are required
Develop governance rules and policies for disparate data
Ensure that data management, process, collection usage and sharing guidelines are established
Make sure you have the right network and data-centric technology
Evaluate infrastructure and partners for both access and storage, ensuring symmetrical flow
of data between your business network, the cloud, and the servers on which it lives
These fundamental building blocks will prepare you for your ascent to the apex of Big Data utilization.
Electric Lightwave offers fully-symmetrical data networking and Internet solutions, optimized for both
the production and consumption of information between peers. Our robust fiber footprint delivers
low-latency, high-bandwidth Ethernet connectivity from your business, to the cloud, to your data center.
Become an Ethernet
Powered Business and get
www.ElectricLightwave.com
Sources listed by order: Siegler, M.G. “Eric Schmidt: Every 2 Days We Create As Much Information As We Did Up to 2003.” TechCrunch. August 4, 2010.
http://techcrunch.com/2010/08/04/schmidt-data/; "IBM What is big data? — Bringing big data to the enterprise". www.ibm.com; Gantz, John; Reinsel, David. (Dec 2012) “THE DIGITAL UNIVERSE IN
2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East” EMC; Khan, Arfan, “Where does Big Data Come from? Look in the Mirror”, IT World, December 18, 2012; Statistic Brain
Google Annual Search Statistics, retrieved Oct 16, 2013; "Data, data everywhere". The Economist. 25 February 2010. Retrieved Oct 17, 2013; Olanoff, Drew. “Mark Zuckerberg: 1 billion pieces of
content is shared via Open Graph daily. TNW News, 26, July ’12; eBay Study: How to Build Trust and Improve the Shopping Experience". Knowwpcarey.com. Retrieved Oct. 17, 2013; “Big Data and The
Democratisation of Decisions,” October2012. The Economist; Harris Interactive Poll. Small and Midsize Companies Look to Make Big Gains With “Big Data,” 26-06-2012. SAP; “Analytics: The Widening
Divide,” Report by MIT Sloan Management Review and IBM Institute of Business Value, 2011; “Outperforming in a Data-Rich and Hyper-Connected World,” The IBM Center for Applied Insights &
Economist Intelligence Unit; Wegener, Rasmus, Sinha, Velu. “The Value of Big Data: How Analytics Differentiates Winners, Bain & Company, 2013.