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Harnessing the Full Value of Data

Analytics technology: Still early days

Challenge: Many organizations arelimiting 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 data14%

Social media45%

Product/service improvement

49% Customer acquisition/retention

41%

Finance35%

67%

Data integration45%

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 budget39%

Agreeing on key performance indicators (KPIs)

36%

Managing data quality40% Managing data security

38%

Rich media45%

Web clickstream42%

Sensor data43%

For more, visit sap.com/accelerate-insight

However:

Data moves at different speeds from real-time to batch and must

be analyzed accordingly.