383Advanced Data Analytics for Business
regardless of volume, variety, or volatility. They are used in concurrence
with four advances in business analytics:
1. Latest and improved analytic techniques and algorithms that
increase the sophistication of existing analytic models and results
and allow the creation of new types of analytic applications.
2. Value-added data visualization techniques that make large volumes
of data easier to explore and understand.
3. Analytics-powered business processes that enhance the pace of
decision-making and enable close to real-time business agility.
4. Stream processing systems that lter and analyze data in action as it
ows through IT systems and across IT networks.
These develop