His Responsibilities have included all aspects of Windows and SQL solution development and design including: analysis GUI (and Web site) design data modeling table, screen/form and script development SQL (and remote stored procedures and triggers) development and testing test preparation and management and training of programming staff. His experience includes BI, Web architecture & design, systems analysis, GUI design and testing, Database modeling and systems analysis, design, and development of Client/Server, Web and Mainframe applications and systems utilizing: Applix TM1 (including TM1 rules, TI, TM1Web and Planning Manager), dynaSight - ArcPlan, ASP, DHTML, XML, IIS, MS Visual Basic and VBA, Visual Studio, PERL, Websuite, MS SQL Server, ORACLE, SYBASE SQL Server, etc. His current role is National FPM Practice Leader. Miller is an IBM certified and accomplished Senior Project Leader and Application/System Architect-Developer with over 30 years of extensive applications and system design and development experience.
Once you have determined where your objective “fits” you’ll see that more than just one model “type”Ĭan be used. When you make a selection, Modeler will “suggest” the modeling nodes that are applicable to that selection – which is great for us TM1 guys new to modeling with SPSS Modeler! The SPSS Modeling palette can be organized by selecting one of the three objectives. Once you determine which type of model you ar interested in you are ready to being modeling (with the assistance of SPSS). With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.Īssociation models look for relationships between fields to try to find the “ rules of the format”, for example: a certain percentage of customers have purchased both products “A” and product “B” and those customers also have purchased product “C”. For example a marketing group may “cluster” customers based upon RFM (Recency, Frequency and Monetary values) and insurance companies may cluster claims and look for unusual cases within the groups to detect fraud. With a Segmentation model, grouping records (using one or more fields) is the idea. Examples would include trying to predict which telecommunications customers are liable to drop their plan and go to another provider and in banking, predicting if a customer might fail on paying back a loan. With a classification model, you are trying to predict a field, using one or more predictors. SPSS categorizes modeling objectives into three main – Classification, Segmentation and Association.
These many modeling nodes (found on the Modeling palette) can be classified depending on what your modeling objective is. These nodes include data sources, record and field operations, graphing, output/export and of course, modeling. IBM SPSS Modeler uses “ node definitions” to easily add objects to modeling streams. IBM SPSS Modeler offers an intuitive interface that will appeal to a wide range of users from the non-technical business user to the statistician, data miner or data scientist.
Coming from a TM1 background (more business than statistics), it is easy to get stated with modeling once you determine your modeling objective, and Modeler can help with that.