customer analytics

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Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: FICO     Published Date: May 11, 2017
Agencies have long provided telecommunications companies with scalability for collections in a high-growth industry. Today, with markets and business models changing, your collections agencies have a growing impact — for good or ill — on your success.
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customer experience, analytics, risk management
    
FICO
Published By: Adobe     Published Date: Jun 29, 2012
The volume of customer data that marketing departments possess continues to grow at explosive rates. But new research from the Aberdeen Group finds that less than 40% of marketers use this information to optimize and target their campaigns. This "data rich, insight poor" phenomenon is examined in their new white paper, which identifies common analytics challenges-and shows how you can rise above them.
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adobe, cmo, analytics, marketing, aberdeen, optimize, campaign, optimization
    
Adobe
Published By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, analytics, global business service, big data, business value, it professionals, volume, velocity
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Understanding customer behavior can be as inscrutable as a foreign language unless you use analytics to decipher it.
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ibm enterprise marketing management, emm, predictive analytics, visual exploration, likes and dislikes, collecting customer data, monitor customer behavior, understanding individuals
    
IBM
Published By: Freshdesk     Published Date: Aug 15, 2016
There are quite a few things that your customers just aren’t telling you. But since you aren’t a telepath and you don’t own a Cerebro, the only thing you can do is wait for them to come to you with it. But not anymore. In this whitepaper, you'll learn the most important things that your support team should already know, but customers will never tell you, like: - Why you should design intelligence into your self-service experience - When you should resort to analytics and when "gut-feel" helps - How you can proactively manage, and prevent customer frustrations - What your core support bottlenecks are, and how to identify them - How to set a "Priority" driven support work-flow
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Freshdesk
Published By: Adobe     Published Date: Mar 05, 2014
Adobe has an exceptional understanding of, and a vision for, campaign management technology. We’ve drawn from our experience to create this document to help you better differentiate the myriad of solutions on the market. This guide provides a comprehensive list of questions and criteria to help companies evaluate campaign management solutions
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adobe, technology, marketing, cmo, campaign management, customer, data, solutions
    
Adobe
Published By: iKnowtion     Published Date: Nov 17, 2011
Learn how predictive models can improve call volume forecasting. The models provide information about how various independent factors, such as advertising, affect call volume in the short and medium term.
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customer intelligence, predictive modeling, forecasting, call volume, marketing analytics, iknowtion, customer experience/engagement, business intelligence
    
iKnowtion
Published By: iKnowtion     Published Date: Nov 17, 2011
Learn how a financial services company can retain critical customer assets, and their method for predicting customers that will transfer assets in and out of accounts and the expected amounts.
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customer intelligence, customer loyalty, crm solutions, customer profiling, probability choice models, trigger marketing, financial services, profitability
    
iKnowtion
Published By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
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: 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: NEC     Published Date: Aug 26, 2014
In addition to high reliability and availability, enterprise mission critical applications, data centers operating 24x7, and data analysis platforms all demand powerful data processing capabilities and stability. The NEC PCIe SSD Appliance for Microsoft® SQL Server® is a best-practice reference architecture for such demanding workloads. It comprises an Express 5800 Scalable Enterprise Server Series with Intel® Xeon® processor E7 v2 family CPUs, high-performance HGST FlashMAX II PCIe server-mounted flash storage, and Microsoft® SQL Server® 2014. When compared with the previous reference architecture based on a server with the Intel® Xeon® processor E7 family CPUs, benchmark testing demonstrated a performance improvement of up to 173% in logical scan rate in a data warehouse environment. The testing also demonstrated consistently fast and stable performance in online transaction processing (OLTP) that could potentially be encountered.
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sql, datacenter, servers, virtualization, customer value, analytics, application owners, system integrators
    
NEC
Published By: Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017     Published Date: Jul 11, 2017
Despite the rise in chat adoption, many organizations are still not providing the service their customers expect. That’s why it’s essential to follow proven best practices, including defining goals, identifying key metrics, and appropriately hiring and training staff. With these foundations in place, organizations can establish routing and queuing practices, before customizing the solution to meet their specific needs, and fine-tuning analytics to further improve performance. To learn more about how Oracle Chat Cloud Service can improve CSAT, customer loyalty, and revenue for your organization, visit oracle.com/goto/chatbestpractices
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home page support, faq escalation, points of right-channeling, frustration points, page headers and footers, business driver, chat channel, customer satisfaction
    
Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017
Published By: Oracle     Published Date: Jul 11, 2017
Despite the rise in chat adoption, many organizations are still not providing the service their customers expect. That’s why it’s essential to follow proven best practices, including defining goals, identifying key metrics, and appropriately hiring and training staff. With these foundations in place, organizations can establish routing and queuing practices, before customizing the solution to meet their specific needs, and fine-tuning analytics to further improve performance. To learn more about how Oracle Chat Cloud Service can improve CSAT, customer loyalty, and revenue for your organization, visit oracle.com/goto/chatbestpractices
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home page support, faq escalation, points of right-channeling, frustration points, page headers and footers, business driver, chat channel, customer satisfaction
    
Oracle
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 11, 2017
Despite the rise in chat adoption, many organizations are still not providing the service their customers expect. That’s why it’s essential to follow proven best practices, including defining goals, identifying key metrics, and appropriately hiring and training staff. With these foundations in place, organizations can establish routing and queuing practices, before customizing the solution to meet their specific needs, and fine-tuning analytics to further improve performance. To learn more about how Oracle Chat Cloud Service can improve CSAT, customer loyalty, and revenue for your organization, visit oracle.com/goto/chatbestpractices
Tags : 
home page support, faq escalation, points of right-channeling, frustration points, page headers and footers, business driver, chat channel, customer satisfaction
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017     Published Date: Jul 11, 2017
Despite the rise in chat adoption, many organizations are still not providing the service their customers expect. That’s why it’s essential to follow proven best practices, including defining goals, identifying key metrics, and appropriately hiring and training staff. With these foundations in place, organizations can establish routing and queuing practices, before customizing the solution to meet their specific needs, and fine-tuning analytics to further improve performance. To learn more about how Oracle Chat Cloud Service can improve CSAT, customer loyalty, and revenue for your organization, visit oracle.com/goto/chatbestpractices
Tags : 
home page support, faq escalation, points of right-channeling, frustration points, page headers and footers, business driver, chat channel, customer satisfaction
    
Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017
Published By: Aprimo     Published Date: May 01, 2012
The key best practices for next best action in CRM are to align it with key business imperatives; deliver it through priority customer-interaction channels; inform targeted offers with trustworthy customer data; drive it from advanced analytics and rules; and use it to shape multichannel conversations with customers.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy, crm solutions/software
    
Aprimo
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: Esker     Published Date: Jan 08, 2019
Ignoring the potential of AR analytics is a losing game. In order to boost your collection rate and maximize resources, departments should be analyzing a plethora of statistics — not just DSO. This playbook discusses the six metrics your AR department should be paying attention to and how they can separate themselves from competition and provide customers with an improved experience by: • Measuring Key Performance Indicators (KPIs) • Making process improvements based on analytics • Centralizing collection activities
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Esker
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: RedPoint Global     Published Date: May 11, 2017
Practical perspectives on leveraging data to grow sales, cut costs, up-sell more effectively and make better decisions. Marketers overwhelmingly agree they have access to more than enough data. The problem is finding actionable ways to utilize data that is collected across all customer interaction points to better engage with customer and increase lifetime customer value. This white paper explores the relevance of big data for marketers: what they need to know and the steps they should take today to embrace data and analytics to position their organizations for success today.
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customer retention, customer experience, real-time personalization, customer insights
    
RedPoint Global
Published By: FICO     Published Date: Dec 04, 2017
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
Published By: SAS     Published Date: Mar 01, 2012
This paper shows the results of the survey, as well as trends and expert opinions focusing on why some top organizations are able to successfully extract insight from "big data."
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 06, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape
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SAS
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