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IBM SPSS Modeler Data Sheet

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IBM SPSS Modeler Data Sheet IBM Analytics IBM SPSS Modeler Data sheet IBM SPSS Modeler Accelerate time to value with visual data science and machine learning Overview Highlights In a business environment, the main objective of analytics is to improve a business outcome. These outcomes can include: • Exploit the power of visual and programmatic data science with IBM® SPSS® Modeler for IBM Data • Acquiring and retaining customers Science Experience, or get started with • Driving operational efficiency a subscription standalone deployment • Minimizing and mitigating fraud of IBM SPSS Modeler • Optimizing hiring processes and reducing attrition • Harness the value and find patterns in more data sources including text, flat • Creating new business models files, databases, data warehouses and Hadoop distributions in a multi-cloud When you apply data science and machine learning to improve a environment decision, the result is likely to be a better outcome. • Put 40+ out-of-box machine learning algorithms to work for ease of model development and management Data science is the process of using analytical techniques to uncover patterns in data and applying the results for business value. Descriptive • Integrate with Apache Spark for fast in-memory computing analysis, predictive modeling, text analytics, geospatial analytics, entity • Optimize productivity of data science analytics, decision management and optimization are used to identify and business teams with programmatic, patterns and deploy predictive models into operational systems. visual and other skills Systems and people can use these patterns and models to derive insights • Speed data analysis with in-database that enable them to consistently make the right decision at the point of performance and minimized data impact. Outcomes are maximized based on the predictive intelligence movement hidden in data of growing size and complexity. • Extend your capabilities with open source technologies such as R, Python, Spark and Hadoop—with IBM® SPSS® Modeler is a powerful visual data science and machine or without coding learning tool that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and your enterprise. SPSS Modeler scales from desktop deployments to integration with operational systems to provide you with a range of advanced algorithms and techniques. Applying these techniques to decisions can result in rapid ROI and can enable organizations to proactively and repeatedly reduce costs while increasing productivity. IBM Analytics IBM SPSS Modeler Data sheet IBM SPSS Modeler is available as a subscription or in Accessing all types of data perpetual license editions to meet virtually any Data is being generated at an exponential rate from a enterprise needs: multitude of sources, thereby fueling new information and untapped opportunities for those organizations able to harness IBM SPSS Modeler is available as part of IBM Data Science it and realize its value. This data is stored in various systems Experience (DSX), an interactive and collaborative platform and formats, so bringing it together can be a challenge. The where data scientists can use multiple open source and IBM volume of data is so big that you cannot analyze it manually tools to activate their insights. Your programmatic notebooks nor can you look over tables in reports to find why something and visual streams can be shown in a single view, making it might or might not happen. The analysis process presents yet easy to choose the right models to train and deploy. another challenge because of a scarcity of skilled analysts who can work with the data to extract its value. IBM SPSS Modeler Subscription offers the capabilities you need to access and export structured data sets, without data With SPSS Modeler, you and your organization can use the size limits; analyze data using 30+ algorithms; and deploy data you have available—both structured, unstructured or the results using your desktop. It offers a flexible monthly spatial—and extract value from it by discovering untapped payment option without an annual commitment, plus you can opportunities and new information. With new insights from optionally add SQL optimization or text analytics capabilities. your data, you can predict what is likely to happen, become proactive and optimize outcomes, rather than reacting simply IBM SPSS Modeler Professional software includes the as your current situation dictates. tools needed to leverage your structured data---such as behaviors and interactions tracked in your CRM systems, SPSS Modeler enables you to use a range of analytical demographics, purchasing behavior and sales data---in a techniques to access data sources such as text, flat files, multi-user environment. databases, data warehouses, and Hadoop distributions. These statistical techniques use historical data to make predictions IBM SPSS Modeler Premium software goes beyond the about current conditions or future events. Also included are analysis of structured data to include unstructured data such as capabilities for data access, data preparation, data modeling web activity, blog content, customer feedback, emails, articles and interactive visualizations. With automated procedures for and more to create more accurate predictive models. preparation and modeling, it is suitable for a wide range of analytics abilities. IBM SPSS Modeler Gold software includes all the capabilities of IBM SPSS Modeler Premium software with the The intuitive graphical interface of SPSS Modeler enables added ability to build and deploy predictive models directly users to visualize each step of the data science process as part into business processes. It combines predictive analytics of a “stream.” By interacting with these streams, analysts with rules, scoring and optimization within an organization’s and business users can collaborate, which adds business processes and operational systems to deliver recommended knowledge and domain expertise to the data science process. actions at the point of impact. Users can focus on discovering insights rather than on technical tasks such as writing code. They can also pursue Whichever SPSS Modeler solution you choose, you can: “train-of-thought” analysis and explore data more deeply, both of which can uncover additional relationships that make • Access all types of data sense to your organization. • Broaden your analytics reach • Accommodate your needs with flexible deployment 2 IBM Analytics IBM SPSS Modeler Data sheet Data preparation and manipulation Broadening your analytics reach with a Preparing data for analysis is an important but time- range of techniques consuming step in analysis. SPSS Modeler accelerates Analytical techniques are continuing to evolve, providing data preparation to ease the process and to help you make analysts with a plethora of options for tackling the problems sure your data is in the best format for analysis. The in front of them. Additionally, as technology develops and tasks automated include analyzing data and identifying new types of data become available (such as location-based fixes, screening out fields, deriving new attributes when data from mobile phones or real-time data from Internet of appropriate, and improving performance through intelligent Things devices), different questions and challenges arise about screening techniques. the best ways to exploit this data. Innovative techniques are therefore necessary. SPSS Modeler offers a variety of ways to manipulate and prepare data for analysis at the record or field (or variable) With SPSS Modeler, your analysts can solve their business level. Among the methods used to help make sure your data is problems with a solution that is designed to handle simple in the best format for the specific type of analysis that is being descriptive analysis, the most complex optimization undertaken are: problems—and everything in between. SPSS Modeler features capabilities that go beyond the standard analytic • Record operations. Select, Sample and Distinct nodes enable requirements of today’s analysts and data scientists. A range you to choose specific rows of data. You can merge and of 30+ models, visual drag-and-drop modeling, built-in data append nodes to join data by adding columns or rows to preparation, text analytics, entity analytics, social network a dataset. Aggregate and Recency, Frequency, Monetary analysis and the ability to build models on parallel processes (RFM) Aggregate nodes summarize records to a single can all help you address the most sophisticated problems. row. A Balance node adjusts the proportions of records in imbalanced data and a Sort node reorders based on value. Visual drag-and-drop modeling for data science The Space Time Box node creates geospatial and time- With the drag-and-drop modeling features of SPSS Modeler, based data for records. non-analysts can produce accurate models quickly without • Field operations. A Type node specifies metadata and specialized skills. In addition, advanced predictive modeling properties of a dataset, and the Filter node discards fields. capabilities enable professional analysts and data scientists to The Derive node creates new fields and a Filler node can create the most sophisticated of streams. replace existing field values. Data can be restructured with the Set to Flag, Restructure or Transpose nodes and Visual modeling enables you to compare multiple modeling regrouped with the Reclassify or Binning nodes. To assist approaches. By setting specific options for each model type with modeling,
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