predictive it

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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.
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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, customer interaction service
    
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.
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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 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.
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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
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.
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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.
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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
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.
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sas, direct marketing association, integrated marketing efforts, digital marketing efforts, networking
    
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.
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sales analytics, data quality, sales, high usability, enterprise applications, data management
    
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.
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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, knowledge management
    
Oracle
Published By: HP     Published Date: Sep 04, 2014
AgilOne is a cloud-based predictive intelligence company that is experiencing a high growth rate. The company needed to find, and quickly deploy, a scalable storage solution to support its big data performance and future scalability requirements. Today, utilizing its 3PAR StoreServ storage solutions, AgilOne boasts a lower cost per terabyte, higher efficiency, and the ability to rapidly accommodate its new customers.
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3par, agilone, cloud, intelligence, storage, solution, data, scalability, data management
    
HP
Published By: Lattice Engines     Published Date: Jun 19, 2014
Everyone is talking about predictive analytics these days, but what does it mean for B2B marketers? Find out how top demand generation professionals are using predictive applications powered by leading edge data science to optimize all stages of the funnel. Read Lattice Engine’s latest ebook, Decoding Predictive Marketing, and learn where predictive fits into your marketing mix.
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lead scoring, marketing automation, predictive analytics, predictive marketing, predictive lead scoring, b2b marketing, lead nurturing, lead management, lead prioritization, lattice engines, demand generation, lead qualification, qualifying leads, score leads, lead score
    
Lattice Engines
Published By: Sailthru     Published Date: Jul 01, 2015
The ability to know the next action of an individual customer is gold, quite literally, as this knowledge translates directly into revenue. True predictive intelligence has arrived, and it’s one of the most incredibly exciting advancements in modern marketing. With good reason given that for many brands as much as 95% of future revenue comes from a mere 5% of customers! But with any major advancement, messaging landmines threaten a marketer’s ability to identify the technologies that can actually deliver on the predictive promise.
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ecommerce, publishing, data science, predictive marketing, customer experience, personalization, marketing, strategy, technology
    
Sailthru
Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist
Published By: IBM     Published Date: Feb 10, 2014
A car company thought they had a problem with their brake lights. Predictive analytics helped reveal the true culprit.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, asset management, detection, maintenance, operations, it management, analytical applications
    
IBM
Published By: IBM     Published Date: Mar 07, 2014
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
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ibm, big data, operational insight, it analytics, optimize capabilities, predict capabilities, it management, content management system
    
IBM
Published By: IBM     Published Date: Mar 07, 2014
2 Page Written Case Study on Consolidated Communications that discusses the challenges they were facing and how IBM's Predictive Insights capability helped them find problems in their network infrastructure before they actually occurred.
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consolidated communications, ibm, predictive insights, infrastructure, problem solving, network, business continuity, disaster recovery, analytical applications, business intelligence, cloud computing
    
IBM
Published By: IBM     Published Date: May 07, 2015
Hurwitz & Associates announced the findings of its inaugural Victory Index for predictive analytics. This assessment highlights both the diverse uses of predictive analytics and vendors who make those applications.
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predictive analytics, data sources, vendor selection, data mining, analytical applications, data protection, data warehousing
    
IBM
Published By: Crownpeak     Published Date: Jun 03, 2015
Enterprises have long personalized their visitor's web experiences, typically through product recommendations or basic user segmentation. However, today's customers demand more real-time, in-the-moment experiences that meet their needs whenever, wherever. The technology behind this level of personalized marketing continues to advance by adding situational, predictive and real-time elements to keep up with customer expectations.
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forrester research, personalization, next generation personalization, personalized experience, customer experience, personalized marketing, digital experience, contextual experience, user experience, emerging marketing, internet marketing, web content management, wcm, crm, customer care
    
Crownpeak
Published By: Radius Intelligence     Published Date: Jun 15, 2015
Marketing technology is the fuel on which modern marketing organizations run. As the marketing technology landscape rapidly expands, CMOs are desperately trying to keep up with an evolving stack. Technology is taking over marketing. Rather than detailing an exhaustive list of available technologies, this will present an overview of the current marketing technology landscape. It will include trends, challenges, and advice to marketing leaders navigating the turbulent and dynamic space.
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predictive marketing, predictive analytics, b2b marketing, predictive b2b marketing, predictive technology, b2b marketing technology, customer insights, customer acquisition, segmentation, targeting, real-time analytics, total addressable market, multi-channel optimization, pipeline prioritization, predictive scoring, lead prediction, account targeting, predictive intelligence, marketing intelligence
    
Radius Intelligence
Published By: Radius Intelligence     Published Date: Jun 15, 2015
Over the past few decades, marketing has evolved from a hunch-based and immeasurable practice to one driven by data, analytics, and software. Marketers now work with advanced software and myriad channels to identify new prospects. However, today’s marketers face new challenges. This guide will dive deep into those challenges, identify key trends, and introduce the concept of marketing intelligence.
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predictive marketing, predictive analytics, b2b marketing, predictive b2b marketing, predictive technology, b2b marketing technology, customer insights, customer acquisition, segmentation, targeting, real-time analytics, total addressable market, multi-channel optimization, pipeline prioritization, predictive scoring, lead prediction, account targeting, predictive intelligence, marketing intelligence
    
Radius Intelligence
Published By: Radius Intelligence     Published Date: Jun 15, 2015
Market expansions are a viable strategy when a company’s growth in an existing market has stalled. However, marketers often rely on intuition and qualitative data to inform decisions around market fit and size. In this whitepaper, marketing technology expert, David Raab, explores how the shift in data and predictive solutions streamlines the market expansion process. The paper will reveal 4 keys to a successful market expansion, common mistakes to avoid, and show marketers how to win customers in new market segments.
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predictive marketing, predictive analytics, b2b marketing, predictive b2b marketing, predictive technology, b2b marketing technology, customer insights, customer acquisition, segmentation, targeting, real-time analytics, total addressable market, multi-channel optimization, pipeline prioritization, predictive scoring, lead prediction, account targeting, predictive intelligence, marketing intelligence
    
Radius Intelligence
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