4. • Build advanced analytics
models for predicting
and optimizing
outcomes
5. •Advanced Analytics is the
autonomous or semi-
autonomous examination of
data or content using
sophisticated techniques and
tools, typically beyond those
of traditional business
intelligence (BI), to discover
deeper insights, make
predictions, or generate
recommendations
6. New big data technologies enable cost-effective storage,
processing and analysis of large amounts of data
• Modern and intuitive user interfaces allow more user
groups to draw insights and make informed decisions
• Advanced analytics software enables better analysis,
and analysis of relationships and future events.
8. There is less guarantee that advanced analysis
will deliver the results expected
9. Furthermore, users of advanced analytics methods
should have expertise in working with
probabilities. While classic professional reports
almost always produce the correct numbers, the
probabilities generated by advanced analyses have
to be interpreted
10. The quality of a sales forecast or customer
classification must therefore not only be noted
and communicated for every single analysis, but
also continuously monitored and optimized
11. How to exploit big data ?
• Choose the Right Data
• Get the necessary IT support
• Build Models That Predict
and Optimize Business
Outcomes