IBM SPSS predictive analytics solutions help uncover key predictors that lead to online student success or failure. Identifying specific issues early, target intervention measures for at-risk students, and take the appropriate steps to help improve online student graduation rates.
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice.
In this tutorial, you will explore the following key capabilities:
Improve decision-making in a single workspace with IBM Planning Analytics
Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler
Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
Organizations adopting the IBM SPSS Collaboration and Deployment Services 4.2 can be affected by many variables. Read the white paper which explores the best practices and characteristics of running the software on a POWER7 platform, and learn how this can influence performance optimization and scalability.
Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Read this white paper to learn how marketers are using IBM technology to learn about their customers' attitudes, preferences and buying habits from what they say on publicly available social media and through the full range of interactions that can be recorded, measured and analyzed. Discover how marketers are combining that knowledge with other sources of customer information to guide marketing decisions and shape marketing campaigns, cultivating relationships with online advocates to help steer product development, and, ultimately, boosting sales and revenue.
With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
This brief video shows how advanced analytics can incorporate survey methods designed to help you with every aspect of survey research - everything from gathering the data, to data analysis, to reporting.
Sephora is a leading retail beauty chain selling more than 8,000 unique products and 250 brands of perfume and premium cosmetics. A fully owned subsidiary of the world’s leading luxury products company, LVMH Moët Hennessy Louis Vuitton, Sephora operates 500+ stores in 14 countries worldwide, with an expanding base of more than 125 stores across North America where it is the largest retailer of perfume and cosmetics.
Published By: SPSS Inc.
Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.