DEFINING A PATHWhy does all that data matter ?

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. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data.

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.

25%

SPOTTING THE GROWING PEAKHow big is Big Data?

BY 2020the amount of data created

each day will be

45 TIMES the size of Mt. Everest

3%

MT. EVEREST

IF 1 BYTE EQUALED A SPRINKLE OF DIRT

the amount of data created each day would be the size of

KNOWING THE TOPOGRAPHYSo, who’s producing all the data?

STORING, PROTECTING, MANAGING

59%54%

48%46%

Improving Operational Efficiency Boosting Sales Becoming More Agile Attracting and Retaining New Customers

66% OF BUSINESS DECISION MAKERS agree that tapping Big Data will help them make better business decisions faster.

SCALING THE MOUNTAINHow can you capture the big opportunity of Big Data ?

Businesses Leveraging Big Data are

...and They are Creating

68%

32%BY BUSINESSES

BY CONSUMERS

DATACREATION

Become an Ethernet Powered Business and get

These fundamental building blocks will prepare you for your ascent to the apex of Big Data utilization.

Integra 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.

Make sure you have the right network and data-centric technologyEvaluate 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

2.2X2.2XAs Likely to Outperform

Industry Peers

1.6XMore Revenue

Growth

2XMore Profit

Growth

2.5XMore Stock

Appreciation

3XAs Likely to Execute

Decisions as Intended

5XMore Likely to Make

Decisions Faster

700,000PIECES OF CONTENTare shared

on Facebook

17,000CUSTOMER

TRANSCTIONSare uploaded into

Walmart databases

THREE MILLION

GOOGLE SEARCHEStake place

EVERYMINUTE

Establish target areas of impact for Big DataZero in on the business functions where you can drive improvement and effectiveness

Size up data management and analytics capabilitiesIdentify gaps and areas where partners or added talent are required

Develop governance rules and policies for disparate dataEnsure that data management, process, collection usage and sharing guidelines are established

www.IntegraTelecom.com/BigData

BIGDATAGAP

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.

The volume of business data is doubling at a much

faster speed than consumer data, every 1.2 years,

while consumer data is doubling every two years.

BUSINESS DATA IS DOUBLING

EVERY

CONSUMER DATA IS DOUBLING

EVERY

FROM THE BEGINNING OF TIME THROUGH 2003