Data that isn't analyzed is a missed opportunity. This IDC infographic, sponsored by SAP, looks at how the right technology helps you make business decisions with confidence.

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AN IDC INFOGRAPHIC, SPONSORED BY SAP
Harnessing the
Full Value of Data
Analytics technology:Still early days
Challenge: Many organizations are
limiting analysis because they
can’t make trusted data available.
Analytics have become easier to use
and more responsive. It’s time to update
analytics to better meet user needs.
Businesses need to fully utilize data
from a variety of sources to provide
a holistic view of their markets.
Many organizations are still struggling to use analytics
effectively to optimize customer retention, financial
planning, marketing campaigns and other key functions.
Companies often use only a narrow slice of the available
information for making decisions because they lack the
technology and expertise to fully harness big data.
Timely access is achievable: only 53% of
organizations meet user requirements for it.
Transformation: predictive
analytics have evolved
Embedded predictive analytics are now self-service, highly
accessible, and can be run anytime, anywhere on a mobile device.
Data can be sourced
from business
partners, social
media, and the
Internet of Things as
well as transactional
systems.
Data types come in a wide variety and includes audio
files, documents, videos, maps, and images.
How pervasive is the use of business analytics technology and processes in your
organization? 31% of organizations indicate widespread reliance on analytics
IT challenges hinder organizations from reaching better
insight through widely available, granular data.
Training about performing and interpreting analysis, and
reducing the barriers to using analytics is key.
of organizations with widespread use see ROI
from analytics initiatives within 6 months
Major drivers for investment in analytics:
Top business analytics challenges
to getting trusted data:
Top challenges for business analytics initiatives:
Data that goes unanalyzed (%of organizations)
Transactional data
14%
Social media
45%
Product/service
improvement
49% Customer acquisition/
retention
41%
Finance
35%
67%
Data integration
45%
satisfied with
mobile access
38%satisfied with
predictive analytics
49%
feel IT can respond to
user change requests
in a timely manner
45%53% satisfied with
ad-hoc query
53%
Lack of sufficient staff
with appropriate
analytics skills
45%
Securing budget
39%
Agreeing on key performance
indicators (KPIs)
36%
Managing data quality
40%
Managing data security
38%
Rich media
45%
Web clickstream
42%
Sensor data
43%
For more, visit sap.com/accelerate-insight
However:
Data moves at
different speeds
from real-time to
batch and must
be analyzed
accordingly.