[Guest post by Stephen Archut, IBM SPSS Analytic Catalyst (& Server)Product Marketing Manager]
Businesses today realize the need for predictive analytics and gaining forward looking insights from their data to drive business decisions. Organizations that have adopted predictive analytics and embraced that forward looking approach are consistently outperforming their competitors, according to IBM surveys. However, analysts report that inadequate staffing and skills, along with a lack of approachable tools, leave many organizations struggling with adopting predictive analytics.
In order for predictive and statistical analysis to be fully utilized, organizations need solutions that move “data science” from the specialists to the broader group of business analysts and generalists. More users of predictive analytics means more people understanding data analysis and joining the “analytic discussion” -- not just experts with “data scientist,” “statistician,” or “data miner” in their job titles.
IBM® SPSS® Analytic Catalyst is designed to address these challenges. It is an automated predictive and statistical analysis tool that delivers actionable predictive and statistical insights as interactive visuals paired with plain language explanations for easy understanding and communication to others.
In other words, it's an accessible predictive analytics solution for the "non-statheads" in an organization. Business analysts can now blend predictive insights with good old-fashioned subject matter expertise to drive and improve tactical decision making. For example, in the field of economic forecasting, the blending of human judgment with statistics has led to results being 15% more accurate.
Click here to try out IBM SPSS Analytic Catalyst on AnalyticsZone and see for yourself how easy predictive analytics can be.
Additional information on SPSS Analytics Catalyst is available by clicking here.