Sunday, August 15, 2010
TDWI: S4P Overcoming Information Overload with Best Practices in Data Visualization
11:10 pm pdt
It is well known that human understanding is more effective with pictures than with rows and columns of numbers.
However, much of the output from business intelligence environments remains trapped in traditional reporting formats.
In this workshop, we explore best practices for deriving insight from vast amounts of data using visualization techniques.
We will examine visualization for reporting with drill-downs and real-time business activity monitoring, and leverage
data visualization in connection to data mining algorithms.
A key theme is exposing actionable decisions through
use of visualization techniques. Examples from a variety of industries will be employed. The workshop will describe advanced
visualization algorithms, including the use of organic shapes to convey high-density information, how animation of data
increases data density, and an experiment demonstrating the data absorption rate of the human mind. The workshop will also
cover the relationship between data warehousing and data visualization, showing how metadata can be used to leverage the
power of highly detailed data to create insightful data visualizations.
You Will Learn
visualization can be used to overcome information overload
- Best practices in the use of visualization for BI
pitfalls in the use of visualization for BI
- Next generation visualization techniques using mashups, geospatial data,
- The differences in using visualization for strategic BI versus operational BI
- Critical success
factors for implementation of scalable solutions
and IT leaders; managers; analysts; end users; BI application developers
TDWI: Ten Best Practices for Effective Visualization
11:05 pm pdt
Building visualization into your BI platform is often based on two principal goals: to enable insight into unusual aspects
or outliers in the data, and as a communications tool that enables sharing of insight and understanding. This session covers
the 10 best practices of visualization implementation that enable the achievement of these two goals. These 10 best practices
include how to determine if a visualization is best suited for communication or outlier observation, the appropriate data
density that should be applied, and methods of effective training in a visualization product.