customer analytics

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Published By: IBM Software     Published Date: Oct 04, 2011
Changes in market conditions and economic uncertainty have forced consumers to make tradeoffs and alter their spending and shopping habits. As a result, more than ever, retailers have to stay on top of trends and better manage their customer relationships, operations and financial performance to maximize profits. Read these customer success stories to learn how four retailers are optimizing their businesses today with business analytics.
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ibm, customer success, analytics, business, technology, profits
    
IBM Software
Published By: Netezza IBM US     Published Date: Mar 27, 2012
For retail executives and analysts, who are dissatisfied with siloed, black-box, inflexible CRM and analytics solutions, the Customer Intelligence Appliance (CIA) is an appliance-based solution, that provides an integrated multi-channel view of customers, best practice reporting, and customer behavior segmentation and analytics accelerators.
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customer intelligence, technology, cia, analytics, reporting, analyst, customer intelligence appliance
    
Netezza IBM US
Published By: LogMeIn     Published Date: May 11, 2012
The Vornado company is a legend in their industry as the "Leader in Air Flow Technology." Consumer interaction is important to the Vornado brand, so including chat on their website, where consumers can have not just a quick dialogue with a Vornado product specialist, but a live conversation, was a necessity. Using BoldChat Enterprise gave Vornado the opportunity to meet this communication need and to solve an increasing email management need too.
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vornado, customer service, communication, onlibne, web analytics, application
    
LogMeIn
Published By: IBM     Published Date: Aug 07, 2012
Most organizations appreciate the potential benefits that customer can reap but many face difficulties effectively turning information into actionable insights. Read this white paper to learn how an effective customer analytics strategy can help drive top-line growth, avoid unnecessary costs and increase customer satisfaction. Understand where your organization is in its pursuit to gain deeper customer insights with four stages of organizational capabilities and associated customer analytics strategies: gain insight from the information explosion; share information internally and across value chain; move from reaction to prediction; and adapt business models that enable faster creation of value.
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customer amalytics. ibm, analytics framework, external data sharing, internal data sharing, increased loyalty, cross sell, wallet share, net promoter score
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this white paper to learn how an effective customer analytics strategy can help drive top-line growth, avoid unnecessary costs and increase customer satisfaction.
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IBM
Published By: IBM     Published Date: Jan 18, 2013
Read this white paper to learn how an effective customer analytics strategy can help drive top-line growth, avoid unnecessary costs and increase customer satisfaction.
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IBM
Published By: Adobe     Published Date: Oct 18, 2012
The web content management market is growing based on customer experience management needs, including multichannel delivery, content targeting, analytics, and integration with other technologies. Read on to learn about the best in class CXM products.
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adobe, web content management, customer experience, commerce platforms, analytics, on-site search, advertising agencies, crm & customer care
    
Adobe
Published By: Adobe     Published Date: Mar 07, 2013
This Forrester Research report discusses: testing to refine a relevant customer experience, four ways to use analytics to increase personalisation and deciding when and what to customise.
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personalisation, customer engagement, customer retention, emerging marketing
    
Adobe
Published By: Adobe     Published Date: Aug 22, 2013
Some people want more "likes" because their goal is increased awareness. Others may struggle with losing customers and want improved customer service to reduce churn rates. Whichever challenge your strategy is trying to solve, you will find only a short-term solution if you deal with each challenge in isolation. What you need is an integrated approach that puts social media at the heart of your business as a solid foundation for long-term growth.
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customer experience management, social media data, web trends and analytics, social media, social media marketing
    
Adobe
Published By: Verint     Published Date: Apr 24, 2013
Commonwealth Bank of Australia, with over 1,000 branches and 50,000 employees was using spreadsheets to staff its branch network. When they looked to desktop process analytics from Verint they achieved major improvements in productivity and customer experience. Watch this case study to learn more about how desktop process analytics can use big data to help your organization.
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case study, big data, organization, desktop process analytics, process management, analytics, workforce management
    
Verint
Published By: Oracle     Published Date: Nov 05, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
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business intelligence, integrated marketing, social media strategy, content marketing, insight, social data, customer hub, social analytics
    
Oracle
Published By: IBM     Published Date: Aug 06, 2014
Customer intelligence solutions that can enhance customer retention by leveraging advanced and predictive analytics tools to help enable more targeted sales, service and marketing plans. .
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ibm, insurance, customer intelligence, solutions, retention, analytics
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
For banks today, having more ways to communicate with customers is a good thing. But it has also made it harder for banks to figure out where and how to most profitably commit their marketing resources. Leveraging predictive analytics, First Tennessee Bank is applying the ultimate acid test. It’s combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI. First Tennessee’s ability to target its campaigns more intelligently has increased its response rate by 3.1 percent, cut key marketing costs by nearly 20 percent and enables the bank to get the most from its resources.
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ibm, banking, analytics, roi, marketing, p&l, data, emerging marketing
    
IBM
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.
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ibm, banking, customer, profit, analytics, costing models
    
IBM
Published By: Adobe     Published Date: May 15, 2014
From web-enabled wristwatches to high-resolution tablets, new mobile devices are popping up all the time, and customers expect your content to work flawlessly and look great across all of them. But that doesn’t mean you have to keep re-inventing your digital assets for every new innovation.
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adobe, web design, responsive web design, brand awareness, customer engagement, web analytics, smartphone, tablet
    
Adobe
Published By: Dun & Bradstreet     Published Date: May 10, 2016
Vendors' positions in this Magic Quadrant reflect the growing demand for cloud-based customer service applications to support agents who engage with customers through multiple channels. Learn how the Lithium Platform can help develop a support community, customer engagement on the cloud, and provide multi-channel customer analytics tools.
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Dun & Bradstreet
Published By: Aberdeen Group     Published Date: Nov 13, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing
    
Aberdeen Group
Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Published By: Pega     Published Date: Sep 11, 2015
The Magic Quadrant reflects the substantial difference among software suppliers' customer support applications. Great diligence must be shown by IT leaders working on customer service projects. Weaknesses remain in providing cross-channel persistence of experience and embedded real-time analytics.
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Pega
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
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Pega
Published By: IBM     Published Date: Jul 19, 2016
This interactive demo demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
As digital transformation accelerates, the opportunity to engage customers digitally has never been greater — but so has the threat of not delivering great customer experiences. In order for customer insights professionals to compete, the use of customer understanding to optimize experiences at scale must be at the heart of all digital transformation initiatives. Digital intelligence provides a vision and approach that captures a holistic view of the customer in order to optimize digital interactions, engagements, and experiences. During his talk James McCormick will describe the vision and need for digital intelligence; the approach needed to make it a strategic initiative, and ultimately, how it will provide a competitive advantage.
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ibm, commerce, customer analytics, digital intelligence, customer experience
    
IBM
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: AWS     Published Date: Oct 07, 2019
Pokémon experienced massive growth in the number of downloads for their most popular gaming app. Ensuring customer data was managed, secured, and private was a top priority for their Information Security team. Join us to learn how Pokémon leveraged Sumo Logic on AWS to implement a security analytics solution to scale with their rapid growth. Pokémon will also discuss how they strengthened their overall security posture, gained a unified view of operations, and delivered on their core values of trust and child safety.
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AWS
Published By: Adobe     Published Date: Sep 28, 2016
The ideal customer experience is everything today, and it starts with a modern digital foundation. You can’t give customers the timely and relevant experiences they expect with outdated solutions that are cobbled together. Read The Blueprint Redefined to see how a modern digital foundation can get you there. You’ll learn: - How a unified platform lets you easily manage and refine customer experiences - Three steps to deliver great digital experiences on all devices - The roles of personalization, analytics, and asset management?
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adobe, customer experience, digital, marketing marketers, digital experience, emerging marketing, crm & customer care, marketing research
    
Adobe
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