customer analytics

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Published By: Infor     Published Date: Apr 01, 2010
This paper explores the dilemma of looking into retention rates and customer profitability and offers a solution to this dilemma. You'll also learn how to increase customer loyalty and retention while increasing revenue.
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infor, targeted promotion, customer loyalty, retention rates, customer profitability, real-time data, analytics, crm, interactive marketing
    
Infor
Published By: IBM     Published Date: Feb 27, 2017
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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hypatia research group, cognitive analysis, predictive analysis, customer journey
    
IBM
Published By: Destination Analytics     Published Date: Apr 06, 2012
To help organizations in their pursuit for deeper customer insight, we have identified four stages of organizational capabilities, which are enabled by four associated customer analytics strategies. Read to find out more.
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ibm, customer analytics, technology, destination analytics, customer satisfaction, analytics strategy
    
Destination Analytics
Published By: IBM     Published Date: Jun 20, 2014
In this video, see how Greenwell Financial marketers use IBM's Digital Experience platform to make customers the center of attention to drive business value. This demo highlights IBM's latest capabilities including Site Wizard, Digital Data Connector, Marketing Center, Media Analytics and more.
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ibm, digital experience, digital strategy, marketing, digital experience platform, social media analytics, customer engagement, social media, interactive marketing, web analytics, customer experience/engagement
    
IBM
Published By: IBM APAC     Published Date: Jun 07, 2017
The 2017 CEI results indicate that brands have significant room for improvement in terms of satisfying customer expectations: On a scale from 0 to 100, the average CEI score is 33. Download this white paper to find out more.
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customer experience, customer analytics, customer behavioural analytics, customer experience management
    
IBM APAC
Published By: IBM     Published Date: Apr 04, 2013
Many small and midsize retailers could benefit from using advanced analytics to understand their customers better and improve promotions but are daunted by the prospect. They are aware that advanced analytics can help retailers turn purchase data into retail excellence. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm analytics answers, retail purchase, offer targeting, infrastructure, offer, ibm, software licenses
    
IBM
Published By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer experience, commerce, customer experience analytics, data insights, crm & customer care
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer analytics, customer experience, analytics, data insight
    
IBM
Published By: IBM APAC     Published Date: Jun 07, 2017
The analytics tools you’ve come to rely on probably haven’t kept pace with this rapid change, and may now be less effective. Systems may not be nimble enough to follow customer journeys across channels and time. Different platforms in different departments can’t talk to each other, so reporting is slowed. And it’s difficult to take proactive steps when your view of the total customer experience is a little blurry. Download this white paper to find out more.
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customer experience, analytics, analytics tools, customer analytics, customer experience management
    
IBM APAC
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
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.
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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: HP     Published Date: Oct 29, 2014
Tired of dealing with ID10T errors? Wouldn't life be easier if you reduced the number of ID10T errors and focused more on the critical issues? HP Service Anywhere seamlessly connects service quality, customer satisfaction and staff efficiency through its easy-to-use social collaborative capabilities. The only service desk with embedded Big Data technology, HP Service Anywhere delivers connected intelligence to IT and business users to support proactive problem solving and actionable analytics.
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itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere
    
HP
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance, emerging marketing, internet marketing, crm & customer care, marketing research, sales
    
IBM
Published By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
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cisco, lbs, it technology, wifi, analytics, wireless networks
    
Cisco
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Intel Corporation     Published Date: Aug 25, 2014
Sponsored by: NEC and Intel® Xeon® processor Servers with the Intel® Xeon® processor E7 v2 family in a four-CPU configuration can deliver up to twice the processing performance, three times the memory capacity, and four times the I/O bandwidth of previous models. Together with their excellent transaction processing performance, these servers provide a high level of availability essential to enterprise systems via advanced RAS functions that guarantee the integrity of important data while also reducing costs and the frequency of server downtime. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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enterprise systems, platform, datacenter, servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor, performance testing, server virtualization
    
Intel Corporation
Published By: iKnowtion     Published Date: Nov 17, 2011
This highly successful dot-com brand leveraged its customer information assets to understand the broad range of customers attracted to its product offering, as well as how to evaluate each customer's future value potential.
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customer intelligence, crm solutions, customer analytics, value estimation, customer potential, data modeling, marketing analytics, iknowtion, customer experience/engagement, business intelligence, market research, data management/analytics
    
iKnowtion
Published By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS
Published By: IBM Software     Published Date: Jul 28, 2010
Sales Force Productivity, Sirius Decisions: This brief video looks at the keys to improving overall customer satisfaction by looking at customer behaviors and the insights they provide.
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ibm software, cognos, customer satisfaction, sales force productivity, consumer behavior, sales analytics, performance, marketing and sales
    
IBM Software
Published By: IBM Software     Published Date: Jul 29, 2010
Sales Force Productivity, Sirius Decisions: This brief video looks at the keys to improving overall customer satisfaction by looking at customer behaviors and the insights they provide.
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ibm software, cognos, customer satisfaction, sales force productivity, consumer behavior, sales analytics, performance, marketing and sales
    
IBM Software
Published By: Alcatel Lucent Enterprise     Published Date: Aug 31, 2017
Everyone expects wireless mobility that provides a high quality experience – but delivering that from arrival to departure in your transportation system is highly complex. Customers want the mobile services that make their life easier such as personalized promotions and navigation guides. Operators want to be able to handle more people, making the customer journey as secure and comfortable as possible, while reducing cost and risk. And all of this depends on the network.
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wayfinding, retail promotion, customer identification, analytics, data, automation, business streams
    
Alcatel Lucent Enterprise
Published By: Spredfast     Published Date: Nov 15, 2018
Can chatbots provide a great customer experience? Watch how top brands automate social customer service practices. You'll learn how to enhance agent workflows and use AI to better connect with the people you care about most.
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social media customer support, social media manager, social media customer service, social customer service, media com customer service, social customer care, social media and customer service, customer service through social media, social media support, social media customer care, client management software, customer support software, social media management tools, social media monitoring, social media training, social media marketing companies, social media analytics, social media marketing, social media software, social media management software
    
Spredfast
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.
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improving, claims, management, outcomes, predictive, analytics, claims, management, professional, formidable, competing, superior, customer, experience, operational, excellence, cost, containment, risk, predictive
    
IBM
Published By: iKnowtion     Published Date: Nov 09, 2011
iKnowtion helped this data-rich, US automotive manufacturer by developing a test and learn strategy that identified new areas for sales volume growth, while learning how to market more strategically to its customer base.
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crm strategies, test and learn, marketing strategies, customer base, analytics, iknowtion, automotive, crm solutions/software, customer experience/engagement, business intelligence, market research, usability
    
iKnowtion
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