Data analysis and statistical software allow users to mine large data sets for information and to communicate the knowledge in a meaningful and understandable way. Statistical analysis software can discover patterns and validate relationships between data that might otherwise go undiscovered... , often through the use of visualization tools. Sophisticated reporting tools support the summarization and explanation of findings to a wide audience.
Statistical software is required for the Data Mining and Interpretation/Evaluation steps of the Knowledge Discovery in Databases, or KDD. The sheer volume of data, the hundreds or thousands of disparate variables, which must be evaluated to discover interdependencies, requires the use of statistical analysis software. Analytical techniques such as the creation of classification algorithms, anomaly detection, clustering, regression, and sequential pattern mining can only be performed using automated tools such as Minitab and Business Objects to evaluate large data sets. Reporting findings, a process that used to require hours of both summarization and graphical work, has simplified through the use of intuitive applications such as SAP’s Crystal Reports suite.
Data in any size is only useful to the extent that it can be converted to actionable insights that can be communicated to those within an organization tasked with making informed decisions, on a timely and reliable basis. Connection makes all statistical analysis software and reporting tools available in a broad range of configurations and options to support specific user communities with the right selection of CALs, update and support requirements, and electronic delivery options. If you need help with selecting the right statistical software to meet the needs of your organization, our expert Account Managers will assist you.
Featured Data Analysis & Statistical Software