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Published By: IBM     Published Date: Oct 16, 2014
This white paper outlines some of the major factors affecting inventory and supply chain management, and covers practices and capabilities that distinguish the most successful approaches to this complex process. You'll learn the factors to consider as you evaluate the maturity of your organization's supply chain and inventory management processes as well as recommendations for incremental improvements that can enable you to cost-effectively upgrade your inventory management system, one step at a time.
Tags : 
predictive analytics, inventory management, supply chain, supply chain management
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
Maximize asset productivity and process efficiency by gaining insight from your data.
Tags : 
asset productivity, predictive maintenance, process efficiency
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
Tags : 
distribution model, analytics services, predictive analytics, sales growth
    
IBM
Published By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 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.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
Tags : 
spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics, statistical analysis, cable network operator, tailored marketing, targeted marketing, best-of-breed, data mining technology, customer feedback, customer lifecycle, cross-selling, data management, data analysis, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
Tags : 
spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
Tags : 
spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics, data management, enterprise applications, roi, return on investment, predictive analytics, decision-making, data resources, enterprise feedback management, efm, customer experience, customer-facing personnel
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
Tags : 
predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience, consumer behavior, actionable insight, centralized system, feedback programs, push orientation, lifecycle-based approach, customer retention, churn rate, compliance, internal r&d, behavioral data, descriptive data
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS, Inc.
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.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
Tags : 
spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
Tags : 
predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience, consumer behavior, actionable insight, centralized system, feedback programs, push orientation, lifecycle-based approach, customer retention, churn rate, compliance, internal r&d, behavioral data, descriptive data
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
Tags : 
spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics, statistical analysis, cable network operator, tailored marketing, targeted marketing, best-of-breed, data mining technology, customer feedback, customer lifecycle, cross-selling, data management, data analysis, decision-making
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
Tags : 
spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics, data management, enterprise applications, roi, return on investment, predictive analytics, decision-making, data resources, enterprise feedback management, efm, customer experience, customer-facing personnel
    
SPSS, Inc.
Published By: SAS     Published Date: Sep 30, 2014
In this paper – which is based on a webinar hosted by the Direct Marketing Association (DMA) and sponsored by SAS – we will take a look at how these technological advancements can enable you to become more predictive and prescriptive in your digital and integrated marketing efforts.
Tags : 
sas, direct marketing association, integrated marketing efforts, digital marketing efforts
    
SAS
Published By: SugarCRM     Published Date: Jan 20, 2015
After an initial rollout to more than 45,000 sales users, IBM wanted even greater insights. Thanks to the high usability of Sugar, IBM was able to increase sales data quality - which has gone on to power predictive sales analytics. Learn how IBM and SugarCRM are driving more effective sales teams.
Tags : 
sales analytics, data quality, sales, high usability
    
SugarCRM
Published By: Oracle     Published Date: Jan 07, 2014
Most enterprises understand the importance of listening to customer comments and conversations through social channels, and engaging and developing relationships with influencers and customer communities. But as the variety, volume, and velocity of social data continues to grow, many organizations are looking for cost-effective ways to use this data to get a better understanding and more holistic view of their customer. Social provides a unique channel to learn about your customer, and offers real-time insights like interests, actions, likes and dislikes that can provide invaluable behavioral and predictive data patterns. This social data (when aggregated with enterprise CRM data) reveals a more complete picture and understanding of customers.
Tags : 
social crm social roi, social media analytics, cmo and cio collaboration, socially enabled enterprise, social business, social data, social marketing, social media management, social relationship management, marketing and technology collaboration, cmo and cio relationship, customer insight, customer experience
    
Oracle
Published By: HP     Published Date: Aug 08, 2014
When you have voluminous data sets growing at an unabated rate, in formats that are unique and complex, how do you address your backup and recovery needs? While relying on traditional backup and recovery solutions can complicate matters, a better approach is to use a solution that enables your IT organization to make decisions that are more intelligent by integrating predictive analysis and an adaptive approach to backup and recovery.
Tags : 
transform, backup, recovery solutions, lower costs, speed recovery, infrastructure, risk, simplified management, performance, connectivity
    
HP
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