LATEST INTELLIGENCE
Data Drives
Business
Powering the Internet of
Things with Apache Hadoop:
Four Customer Use Cases
W
ith over 30 billion things connected by 2020,1
the Internet of Things (IoT) has the potential
to be one of the most disruptive technological
advancements in recent ages. Organizations are starting
to leverage IoT to drive key business objectives, including
monitoring and improving product performance, driving
internal efficiencies, improving customer experience,
and enabling new revenue and usage-based business
models.
However, IoT will also drive an explosion of data
that will need to be processed, stored, managed,
analyzed, and served (in some cases in real time) to
enable business value. With millions of data events
generated per minute from a multitude of sources, IoT
will create far greater volume and variety of data than
most information leaders are currently familiar with—
requiring a modernization of information infrastructures
to realize value.
Generating value from IoT entails effectively managing
both data at rest as well as data in motion. In fact, the
success of IoT deployments will depend on the ability of
organizations to gain insights out of all this fast-moving,
high-volume data. The need to drive real-time insights
means that each step of the data-in-motion process—
ingestion, processing, and serving—is critical.
T
oday’s technology is rapidly changing our lives
and influencing how we interact with brands,
as well as with each other. The digitization
of everything, particularly the widespread use of
mobile and sensor data, has significantly increased
user expectations. This rapid adoption of newer
technologies—mobile, digital goods, video, audio, IoT
and an app-driven culture—has resulted in new ways to
engage customers with improved products and services.
At the heart of this transformation is how organizations
use data to drive competitive advantage. Those who
view data as an asset or opportunity will thrive, while
those who lose sight of it will likely see significant
negative business impact. IDC predicts that by 2020,
data monetization efforts will result in enterprises
pursuing digital transformation initiatives increasing
the marketplace’s consumption of their own data by
100-fold or more. Analyzing this new class of data and
taking action on it can provide greatest advantage to
organizations and help them gain advantage against
competition. According to IDC, by 2020, organizations
able to analyze all relevant data and deliver actionable
information will achieve an extra $430 billion in
productivity benefits over their less analytically oriented
peers. Data is driving three key board-level initiatives:
customer insights, improved products, services, and
efficiencies, and lower business risks.
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