Statistics are persuasive. They validate a truth or dispel rumors and lies. They create the basis for important decisions. They make us smarter.
When British Prime Minister Benjamin Disraeli uttered, “There are three kinds of lies: lies, damned lies, and statistics,” he might have thought differently had he had the power of statistics software at his fingertips. His arguments and decisions would have been more impactful and insightful.
Disraeli was like an organization still basing their most important decisions by using an antiquated spreadsheet. If Disraeli had a reliable statistical software package, he could have taken any amount of data (from various sources), easily prepared it, ran faster analysis and created and delivered understandable visual reports to his key decision makers.
He then could have uttered, “Truth, the damned truth…and statistics.”
Today, those with a solid foundation of statistical analysis to predict reliable outcomes and guide better decisions are consistently generating more revenue, controlling expenses, improving risk management, protecting endangered species, increasing fundraising efforts…(and the list goes on and on).
In fact, a recent IDC report stated that the “median return on investment (ROI) is 250 percent” and the “benefits of predictive analytics projects are more sustained over long periods of time and those that rely more on analytics, tend to be more competitive.”
IBM last week rolled out the lastest version of its leading statistical software, IBM SPSS Statistics 20. The software has been used for more than 40 years to solve the world’s toughest business and research problems by means of ad-hoc analysis, hypothesis testing, and predictive & advanced analytics. It is also the leading software used in colleges and universities worldwide in the teaching of statistical analysis to prepare students for successful professional careers.
The foundational building block (along with IBM SPSS Modeler) of predictive analytics, IBM SPSS Statistics 20 delivers incredibly robust functionality that makes it easier for the business user and more powerful for analysts and statistical programmers.
Introducing IBM SPSS Statistics 20: Five great reasons to upgrade
With each new release, IBM has added technical sophistication and ease of use to solve the toughest analytical challenges quickly and effectively, including new features and enhancements to gain a deeper understanding of data, plan and forecast more accurately, and identify trends that improve decision-making throughout an organization.
1) Put insights on a map – Transform raw data into easy-to-interpret map visualizations to target, forecast and plan by geographical areas. Organizations can use geospatial analysis to increase marketing campaign effectiveness, determine effective store allocations, detect crime hot spots, assess student test scores, and much more. Geospatial analysis reveals insights that are difficult to define from charts or tables alone. Read more here or watch a quick demo of this in action.
2) Get results faster – Understand data more quickly and easily, thanks to faster output tables (up to 65 times faster) that give instant access to analytical results in every IBM SPSS Statistics module. These tables are interactive and fully editable and can be exported to other applications.
3) Make more accurate predictions – Run Generalized Linear Mixed-Models (GLMM) with ordinal values (as opposed to numerical). This allows for more accurate models when predicting nonlinear outcomes such as customer satisfaction surveys where the answers fall under a “Low,””Medium,” or “High,” bucket. Or when trying to determine a product a customer will “buy,” be “more likely buy,” or “most likely to buy.”
4) Improve analyst productivity – Users can now start server jobs and then disconnect from the network, so they can work uninterrupted on other projects without compromising the quality of their results, or even leave for the day and not sacrifice the successful processing of jobs (including getting output).
5) Create complex models non-graphically – Now build structural equation models using a command syntax language, in addition to the drag and drop UI already available. This improves accessibility for those who need or want scripting capabilities (e.g., those individuals who are unable to use the mouse, such as someone who is blind). In addition, it can help improve the productivity of users who need to run large, complicated models and allow them to easily generate similar models with minor changes simply by editing the syntax.
For more information on IBM SPSS Statistics 20, please reference the following information:
· Data sheet on IBM SPSS Statistics 20
· Get certified on IBM SPSS software (Statistics and Modeler). Learn more here.
· Enough with the links, I just want to buy it.