![]() For businesses and managers looking to streamline and perfect their inventory management process, DataLyzer Qualis is the ideal solution. Every transaction made is closely monitored and recorded, providing complete accountability and transparency across supply and demand operations. DataLyzer Qualis Software is reliable, secure, and trustworthy. With DataLyzer Qualis Software’s cutting-edge technology, manufacturing processes can be drastically simplified and refined, making it an essential part of the inventory management industry. This powerful program allows users to streamline operations and customize installation and features to meet their specific needs. DataLyzer Qualis SPC Software takes data collection and charting to a new level. Every transaction is audited, making it easy to view real-time data. This software provides an easy-to-use interface and robust organizational features, allowing users to set minimum and maximum values, transfer orders across multiple locations, and keep track of open orders and trends. Grid computing, in-database and in-memory processing options.DataLyzer Qualis Inventory Management Software is the perfect solution for those in charge of managing an efficient supply chain.The Java client and the SAS server architecture both scale from single-user to large enterprise solutions.Incorporate time series, Web paths and associations rules as additional input variables into the model development process.Integrate text mining for analysis of both structured and unstructured data.Interactive editor features for training and score code.Extension node for easily adding tools and personalized SAS code.Integrate SAS Enterprise Miner training and scoring processes directly into other SAS solutions.Deploy models in multiple environments. ![]() Score SAS Enterprise Miner models directly inside Aster, EMC Pivotal (previously Greenplum), IBM DB2, IBM Netezza, Oracle and Teradata databases with SAS Scoring Accelerator.Score data based on models saved as PMML documents (experimental).Automatically generates score code in SAS, C, Java and PMML.Interactive scoring in a variety of real-time or batch environments.Macro can also be used for registering models developed with SAS code into the SAS Metadata Server.Register Model node provides integrated environment for model registration into the SAS Metadata Server.Interactive environment for comparing and contrasting competing models and assessing the importance of key input variables on the predicted response times.Group processing for multiple targets and segments.Innovative Cutoff node examines to determine probability cutoff point(s) for binary targets.Highly visual model comparison interface.Assessment features for comparing multiple models using lift curves, statistical diagnostics and ROI metrics.Model comparisons, reporting & management Ability to score the training data with an option to save the scored data set.Produces concise reports, including variable importance charts, lift charts, ROC charts and model scorecards, for easy consumption and review.Models can be opened, augmented and modified in SAS Enterprise Miner.Business analysts and subject-matter experts work from SAS Enterprise Guide or the SAS Add-In for Microsoft Office (Excel only).SAS Rapid Predictive Modeler automatically generates predictive models for a variety of business problems.High-performance Support Vector Machine.įast, easy & self-sufficient way for business users to generate models.You can register your model to a SAS Metadata Server to share your results with users of applications such as. Multithreaded, high-performance procedures: SAS Enterprise Miner includes tools for generating and testing complete score code for the entire process flow diagram as SAS Code, C code, and Java code, as well as tools for interactively scoring new data and examining the results.Select set of high-performance procedures & nodes Generates model comparisons and SAS score code for supported models.Allows for data transformation and data explorations of R models in SAS Enterprise Miner.Training and scoring for supervised and unsupervised R models.Makes SAS Enterprise Miner data and metadata available to your R code and returns R results to SAS Enterprise Miner.Write code in the R language inside of SAS Enterprise Miner.Model ensembles, including bagging and boosting.LARS (Least Angle Regression) variable selection.Rules Builder node for creating ad hoc data-driven rules and policies.Īdvanced predictive & descriptive modeling.Time series data preparation and analysis.Easy-to-use Graphics Explorer wizard and Graph Explore node.Access and integrate structured and unstructured data sources.Batch processing code for scheduling large modeling and scoring jobs.ĭata preparation, summarization & exploration.Interactive GUI for building process flow diagrams.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |