predictive customer analytics

Results 1 - 14 of 14Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
Tags : 
predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: May 03, 2016
In this report you will learn how to enhance your customer relationships across all your channels and touch points, produce personalized customer offers and learn from real-world case studies across various industries.
Tags : 
ibm, ibm predictive customer intelligence, business analytics, customer relations, crm & customer care
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Discover how using predictive analytics can help your company convert prospects and cross-sell to existing customers. The campaign optimization capabilities provided with predictive analytics offer an unprecedented level of targeting and coordination across all channels - quickly resulting in decreased costs and increased revenue.
Tags : 
ibm, marketing, technology, campaign profitability, predictive analytics, analytics, roi, crm, customer, business, white paper
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
Tags : 
ibm, technology, marketing, predictive analytics, predictive imperatives, customer value, customer relationship management, analytics, crm, revenue, profits
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
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.
Tags : 
predictive customer analytics, ibm, decision management, consumer insight, customer, crm, customer relationship management, retain customer, grow relationships, rfm analysis, business intelligence, customer wants, crm & customer care
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
As a claims management professional, you have to deal daily with formidable - and sometimes competing - challenges: provide superior customer experience; achieve operational excellence and cost containment; and effectively manage risk. Predictive analytics can help you improve each of these three outcomes, but more importantly, it helps strike the right balance among these three objectives for each new claim received. Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
Tags : 
improving, claims, management, outcomes, predictive, analytics, claims, management, professional, formidable, competing, superior, customer, experience, operational, excellence, cost, containment, risk, predictive
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Driving the right interaction at the right time. This paper examines the need to uncover and understand the dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
Tags : 
predictive analytics, customer interaction, crm, business analytics, marketing attributes, crm & customer care
    
IBM
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
Tags : 
predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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, 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: 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.
Tags : 
ibm, big data, operational insight, it analytics, optimize capabilities, predict capabilities
    
IBM
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.
Tags : 
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, emerging marketing
    
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.
Tags : 
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, emerging marketing
    
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.
Tags : 
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, emerging marketing
    
Radius Intelligence
Search      

Add Research

Get your company's research in the hands of targeted business professionals.


Featured FREE Resource: