Vulcan - Leading with Analytics: Program Resources

DATA ANALYTICS TODAY

e-mails

household data

youtube videos

google

tweets

facebook

mobile data

amazon orders

700 BILLION

2.9 MILLION

375 MEGABYTES

number of E-MAILS sent every SECOND

data consumed by households each day

MILLION 50 tweet s per day

20 HOURS of video uploaded to YouTube every Minute

minutes spent on facebook each month

72.9 products ordered of f of amazon pe r s e c ond

1.3 EXABYTES of data received BY MOBILE Internet users

24 PETABYTES processed per day by google

* data complied by IBM

DATA VALUE

THERE IS ENORMOUS VALUE IN DATA:

PRODUCTIVITY INCREASE

SALES INCREASE

retail

49%

$9.6B

39%

$5.0B

consulting

21%

$4.3B

air travel

20%

$4.2B

construction

20%

$3.4B

food products

20%

$3.4B

steel

19% $2B

automobiles

18% $1.2B

industrial instruments

18% $.88B

publishing

17% $.48B

telecommunications

75% 69%

DATA ANALYTICS is a priority for executives

plan to invest in predictive analytics tools in the next 12-24 months

88%

plan to invest in more Data Analytics software in the next 12-24 months

invested in Data Analytics software in the last 12 months

* data complied by www.wipro.com

data analytics

predictive analytics business orientation + analysis application

real-time analytics platforms

infrastructure management

operational intelligence

IoT

hadoop

application performance management other

75% 6.3% 6.3% WHERE CAOs INVEST THE NEXT 12-24 MONTHS 68.8% 56.3% 43.8% 43.8% 25% 25% 18.8%

5.6%

11.1% will the budget slow progress 11.1%

WHAT WORRIES CAOs THE MOST

is talent acquisition slowing strategy

27.8%

do privacy issues threaten progress

are data + analytics going to meet expectations

22.2% whats the best way to assure adoption + executive support

22.2%

what organizational models work best

1 evolving

3 maintaining consistent, integrated customer interactions across multiple channels

analytical systems to reveal key customer insights

2

bui lding an efficient data management framework

Top 3 Battles faced by a CAO everyday

* data complied by www.chiefanalyticsofficerforum.com

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