7 Predictions for Enterprise in 2014 led by Big Data Social Media Mobile and Cloud

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7 Predictions for Enterprise in 2014 (Led by
Cloud, Social, Mobile, Big Data and Internet Of
Things Adoption)

• By
• http//www.pluto7.com/

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The following post is by Pluto7, a predictive
analytics company with a proven track record of
delivering value through business insight in the
Enterprise. Visit us at http//www.pluto7.com to
learn more. 2014 promises to be an exciting
year. Major technology advances coupled with a
real appetite in the industry to make significant
investments fueled by a charging economy are sure
to make the coming year a memorable one.
Contributors of these predictions are highly
respected in their organizations, in the market
and are considered thought leaders. We plan to
track our predictions throughout the year and
share our assessment at the end to see how we
fared.
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1.SaaS goes mainstream Adoption of
subscription based Software-as-a-Servicewill
accelerate in companies of all sizes. While SaaS
has been expanding rapidly over the last few
years in the broad market, we see a major uptick
inusage of SaaS solutions for mainstream
applications within large enterprise customers as
well. Forbes reports that 40 of all CRM sold in
the last year was SaaS-based. Even in traditional
Supply Chain Management, and related domains,
Forbes shows 21 has gone to SaaS and we see this
growing rapidly in the coming year as companies
adopt a cloud-first approach, primarily
motivated by the economic benefits of moving away
from budget gobbling and time consuming
on-premise implementations.  
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2.Big Data dust settles As companies
understand how to apply Big Data for practical
and actionable uses, well see demonstrable ROI
emerge from Big Data usage in 2014. Mostcompanies
already realize the potential of Big Data and the
focus this last year has been on learning the
technology and ideal usage models. While many
struggled to find where and how Big Data can make
a measurable difference to their business, some
cracked the code. We observed a major toy company
leverage Big Data to drive their product into the
10 most-wanted toys for Christmas list this
holiday season. As Business and IT get smarter
about this technology and its value, we will see
many more success stories emerge in 2014.
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3.From Trending to Prediction - Predictive
Analytics will gain more traction within
day-to-day analysis in various enterprise
functions. The best companies and managers have
always been data-driven, and organizations spend
a lot of time generating reports looking at past
performance and analyzing them to determine
trends. New predictive analytics capabilities,
statistical modeling and recommendation
algorithms now provide the ability to have real
projection information as part of operational
metrics. With dramatic improvements in compute
power, infrastructure costs and efficiencies, we
see predictive analytics becoming a part of the
standard toolkit of smart business leaders.
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• 4.IT becomes a service broker for the Business
  - As Business gets more tech-savvy, and chooses
  SaaS and cloud-based solutions, ITs role evolves
  to become an effective service broker.A key
  trend in recent times has been a lowering of
  barriers to technology adoption through the
  availability of SaaS, IaaS and PaaS models. With
  the Business now empowered to directly acquire,
  or deeply influence the acquisition of, software
  solutions ITs role as a solution provider is
  rapidly evolving from solution provider to a
  service broker. Business now demands rapid
  turnaround and solutions at cloud-speed. In
  2014, Smart IT organizations will
  increasinglyfocus on establishing procedures and
  guardrails to effectively on board best-of-breed
  Service providers to ensure rapid ROI while still
  maintaining control over the technology and
  software ecosystem.

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5.Social media in the Enterprise - Supply
Chain, Sales and Finance collaboration will
drivebetter customer experiencebeyond just
Marketing using Big Data and Social Analytics
data. Amazon new patents Anticipatory Shipping
approach to start sending stuff before youve
bought it, is an example of blending and pushing
the predictive analytics deeper into supply
chain, finance and social media. In 2014 within
the Enterprise boundaries and expanding into
partner, customer and supplier networks,
feedbacks on product and services will flow into
your supply chain, marketing, product
engineering, operations and finance.Product
defects found in your supply chain will preempt
defective products shipped to customers saving
money and many such examples.
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6.Data Everywhere - Internet of Things (IoT)
will bring the People, Process aspects into lime
light aligning with Machines, Mobile, Social.
From 2014 heading towards 2020, the explosion in
things generating datawill generate a rich wave
of new sources of data with varying formats for
analytics. Enterprises will continue to struggle
to keep up betweeninnovation and massive
information coming from the mobile work force.
From phones, to cars, to refrigerator to smart
meters to medical sensors, everything will talk
to everything if there is an incremental value to
humans with the corresponding data analyzed.
Business decisions will be accelerated in
organizations that have a better adoption plan
for IoT across their ecosystem.Nest product
bought by Google is an excellent example of a
device supporting IoT momentum.
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7.Innovative Minds - Everything stated above is
created by human minds. There will be a
continued shortage of smart brains in US and some
areas globally.Get ready to pay more to your high
performing existing employees or new hires. Call
it Data Scientists, Developers, Programmers,
Analysts or any other roles you can think of
which brings newer insights into business
improvements through data and process
reengineering. As an example, InSilicon Valley
California, the last seen massive labor growth
was in 2000. With 14 years gaps, rapid
innovation, enterprises now ready to spend, US
economy recovering, Investors itching to invest
in smart ideas and US government in tightened the
immigration, the labor costs for smart human
minds will go up. For questions or comments,
please email contact_at_pluto7.com or visit us at
http//www.pluto7.com
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About The Company- Pluto7.com (in business
since 2005), a Supply Chain and Financial
Planning Firm that helps companies to
institutionalize data-driven decision making and
harness Big Data using Predictive and Social
Analytics on cloud and premise Company
Address- Pluto7 Inc 3375 Scott Blvd, Suite
320, Santa Clara, CA 95054 Phone
(408)-824-9213 Fax [phone] Email ID
contact_at_pluto7.com