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predictive behavior

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Published By: IBM     Published Date: Jan 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
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predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics
    
IBM
Published By: TruSignal     Published Date: Jun 03, 2013
This white paper aims to provide B2C digital marketers with a better understanding of why you may need an audience expansion technique and what questions to ask yourself before you get started. We hope to not only build an imperative for audience expansion techniques, but also to offer a guide that will help you choose the right data and right techniques for reaching more of your desired prospects online. Specifically, this white paper will discuss and differentiate two specific expansion approaches: lookalike and act-alike audiences including how they are built, the problems they solve and how to use them effectively throughout the marketing funnel.
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audience expansion, lookalike, act-alike, audience targeting, predictive analytics, big data, profile data, behavioral data, third-party data, first-party data, digital marketing, single factor correlation, multiple factor correlation, predictive audience models, custom audiences, offline data, effective marketing practices, digital marketers, marketing funnel, trusignal
    
TruSignal
Published By: Webroot UK     Published Date: Sep 05, 2013
Webroot SecureAnywhere Business - Endpoint Protection offers a revolutionary approach to malware protection. It brings together Webroot's innovative file pattern and predictive behavior recognition technology, with the almost limitless power of cloud computing, to stop known threats and prevent unknown zero-day attacks more effectively than anything else. Read this white paper to learn about ultimate performance and minimal management security software from Webroot.
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webroot, secureanywhere, business, software, security software, revolutionary software, predictive behavior, known threats, zero day attacks, ultimate protection
    
Webroot UK
Published By: IBM Software     Published Date: Feb 14, 2011
View this online demo to learn how leading retailers are using market basket analysis to gain insights into buyer patterns to offer products and promotions that match shopper preferences and behaviors as well as to link purchases to specific buyers to create tailored offers.
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ibm cognos, predictive analytic, market basket analytics, online demo, retailer, shopper preference, consumer behavior
    
IBM Software
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
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banking, finance, customer engagement, analytics, insights, segmentation, personal finance, investing, small business
    
IBM
Published By: MaritzCX     Published Date: Nov 29, 2016
Learn and recognize the five signs that your financial customer is becoming a customer prospect. This paper will teach you the characteristics of customer prospects, how to win back and identify at-risk customers, identify patterns and predictive behaviors, and how to use your CX data to help you retain your customers.
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maritzcx, cx strategies, customer experience, financial services, customer prospect
    
MaritzCX
Published By: IBM     Published Date: Sep 08, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting
Tags : 
ibm, ecommerce, b2c, b2c ecommerce, commerce, data, business advisor, e-commerce
    
IBM
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.
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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 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.
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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: IBM     Published Date: Feb 10, 2014
The closer your organization gets to your customers, the more successful it will be. Learn how to take customer relationships to a new level of intimacy using a combination of business intelligence and predictive analytics software.
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ibm, king fish media, business analytics, insights, business intelligence software, analytics quotient, roi, predictive analytics, customer behavior, customer intimacy, data warehousing
    
IBM
Published By: IBM Software     Published Date: Feb 11, 2011
View this online demo to learn how leading retailers are using market basket analysis to gain insights into buyer patterns to offer products and promotions that match shopper preferences and behaviors as well as to link purchases to specific buyers to create tailored offers.
Tags : 
ibm cognos, predictive analytic, market basket analytics, online demo, retailer, shopper preference, consumer behavior
    
IBM Software
Published By: Dell Software     Published Date: Apr 17, 2013
Learn more about User Experience Monitoring and the need for advanced real-time predictive analytics to capture information and identify trends. Download this paper today and discover vital recommendations, including the need for better dialogue between IT and business and knowledge of end-user customer behavior.
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user experience management, business impact, cornerstone, it transformation, end-user customer behavior, dell
    
Dell Software
Published By: IBM     Published Date: Aug 06, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
Tags : 
ibm, banking, customer, profit, analytics, costing models
    
IBM
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
Tags : 
    
TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
Tags : 
    
TIBCO Software APAC
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