Looking to quickly learn what’s new in IBM SPSS Statistics 29? Rather than reading a list of changes and new procedures, there is a quick way …
BASE EDITION CHANGES: SPSS Statistics v27 was launched in June 2020 with the biggest change compared to v26 being the inclusion of Data Preparation and Bootstrapping …
SPSS Statistics Version 26 includes new statistical tests, enhancements to existing statistics and scripting procedures and new production facility capabilities.
Top tips and tricks for running ANOVA and non-parametric tests along with more advanced forms of ANOVA that will enable you to compare and analyse differences among groups.
SPSS Statistics Version 26 includes new statistical tests, enhancements to existing statistics and scripting procedures and new production facility capabilities.
Healthcare systems face multiple challenges, including ageing populations, evolving healthcare needs and rising costs. Tailored end-to-end analytics solutions allow healthcare providers to inject ongoing intelligence into key processes to improve patients’ access to high-quality care, supported by cost-effective operations.
Forecasting predicts future values of a particular quantity based on previously observed values of that quantity. Accurate demand forecasting helps decision making across all business areas, allowing you to better anticipate demand and allocate resources more effectively.
Alan shows you how identify new, data driven, re-order points for your stock items that take into account historical usage, lead times and service levels. These new re-order points can help you to reduce the risk of stock-outs and ensure that you are not keeping excess inventory when it is unnecessary.
In this short video you will learn how to run a Time Series model within SPSS Statistics. Marian will show you how to predict future values of a particular quantity through the use case of a business that needs to plan staffing levels for the weeks ahead based on historic activity.
Alan now looks more closely at the quality of information you hold on your inventory. What data is missing? Which transactions were anomalous? And which stock items exhibit the most variability and seasonality?
