  The ever-increase in the quality and quantity of data generated from
day-to-day businesses operations in conjunction with the continuously imported
related social data have made the traditional statistical approaches inadequate
to tackle such data floods. This has dictated researchers to design and develop
advance and sophisticated analytics that can be incorporated to gain valuable
insights that benefit the business domain. This chapter sheds the light on core
aspects that lay the foundations for social big data analytics. In particular,
the significance of predictive analytics in the context of SBD is discussed
fortified with presenting a framework for SBD predictive analytics. Then,
various predictive analytical algorithms are introduced with their usage in
several important application and top-tier tools and APIs. A case study on
using predictive analytics to social data is provided supported with
experiments to substantiate the significance and utility of predictive
analytics.
