Uncover the value of predictive analytics
Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, optimization, real-time scoring and machine learning. These tools help organizations discover patterns in data and go beyond knowing what has happened to anticipating what is likely to happen next. Predictive Analytics can be used across the board in any industry, provides greater insights on how to find your best customers and how to predict behaviors and preferences so you can reduce customer turnover, prevent fraud, improve processes or grow revenue. Predictive Analytics predicts an outcome which will lead to better decision and seamlessly flows in the world of decision management to make optimal decisions.
Data Driven Decision Making
As organizations mature, there has been a shift in expectations. To enable true innovation, businesses must remove silos created by systems & tools, generate value by breaking down the silos that exist today. Unlock data with confidence by having a solid governance strategy, Take advantage of the innovation of a broader community and make it easy for data professionals to access open source technologies. Successful progression requires business professionals, application developers, data engineers, and data scientists to be empowered with the right set of capabilities, and the right culture so they can make an impact to the business.
What is Predictive Analytics ?
Predictive analytics encompasses a variety of techniques, including statistics, data mining, machine learning and game theory among others, to analyse large amounts of data and discover new patterns and relationships that can be used to make predictions on future behaviour or events. These techniques enable organizations to build predictive models that can be used to proactively identify risks and opportunities. Predictive Analytics predicts an outcome which will lead to better decision and seamlessly flows in the world of decision management i.e. how to make the best or optimal decision.
IBM SPSS Statistics
IBM SPSS Statistics allows you to Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and more. Create publication ready charts, tables, and decision trees in one tool. Organizations have a core need to understand data and the statistical analyses applied to that data, and to quickly and accurately analyze and interpret data to drive decision-making. In a variety of industries and applications, there is a need to confirm (or deny) the existence of trends in data. IBM SPSS Statistics is the world’s leading statistical software used to solve such business and research problems by means of ad-hoc analysis, hypothesis testing and predictive analytics. Organizations use IBM SPSS Statistics to Begin an analytical journey, understand data and analyze trends, forecast and plan to validate assumptions.
IBM SPSS Modeler
IBM SPSS Modeler is a comprehensive predictive analytics platform, designed to bring predictive intelligence to everyday business problems, enabling front-line employees or systems to make more effective decisions and improve outcomes. Modeler scales from desktop installations through to larger deployments that are integrated within operational systems and provides a range of advanced analytics including text analytics, automated modeling and data preparation in addition to decision management and optimization. This enables organizations to improve business processes and help people or systems consistently make the right decisions by delivering recommended actions at the point of impact. The result is a rapid return on investment (ROI) and the ability to proactively and repeatedly reduce costs and increase productivity.
Additional Predictive Analytics Resources
Data Analytics in Healthcare: From Self-Service Analytics to Predicting Patient Outcomes
Healthcare institutions have been collecting clinical and non-clinical data for decades. Data has become a strategic resource that is notoriously underutilized. It is time to release the power of this data! Data-driven decisions enable healthcare decision makers to improve patient outcomes, patient satisfaction, and other VBC-based measures. In this interactive webinar with Capitalize Analytics and IBM we will: Explain […]
Straight Talk with Capitalize: Learn how YOU CAN use SPSS Modeler for predictive analysis. (Recorded)
Join Capitalize Analytics and our Managing Partner, Eric Soden on the hot topic of predictive analytics. IBM and analysts talk about predictive analytics like it is the holy grail of BI but no one ever shows how to DO it! You don’t have to be in IT or have a PhD in statistics! In this […]
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