customer intelligence

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Published By: IBM     Published Date: May 26, 2017
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months1 and can cost an organization an average of 11 million USD.2 Today’s cyber actors are becoming more sophisticated, agile and capable of getting past any network security. Organizations must evolve, replacing traditional defensive security strategies with a proactive, intelligence-driven offense to prevent and disrupt these threats. IBM® i2® Enterprise Insight Analysis is a next generation intelligence solution that enables organizations to incorporate cyber threat hunting into their security strategy and turn their defense into a proactive offense.It helps organizations uncover critical insights about their threats and threat actors so they can mitigate and counter more threats with a combination of multi-dimensional visualte analysis capabilities
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ibm, ibm i2, cyber security, customer interaction, enterprise insight analysis
    
IBM
Published By: AppDynamics     Published Date: Aug 25, 2015
In collaboration with Enterprise Management Associates (EMA), AppDynamics has conducted a survey of application management professionals and managers to determine exactly what IT organizations want and need from APM providers. Here are some key findings from the research: • Only 30% of companies currently have application-specific solutions to monitor apps • 50% or fewer of the tools companies have purchased are actively being used to monitor apps • 27% of application-related problems are detected by monitoring tools • A “unified monitoring platform” is the top choice in a feature of an APM solution Download the full report to review the findings and understand the key challenges and “must haves” associated with APM solutions voiced by IT professionals themselves.
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business technology, digital, customer service, efficiency, operations, infrastructure, business intelligence, business management, productivity
    
AppDynamics
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: •Global payment initiatives •Open Banking standards •Artificial intelligence and machine learning •Consumer demand for real-time fraud prevention and detection
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: Spredfast     Published Date: Nov 15, 2018
How Top Brands Automate Social Service Practices Today’s conversational commerce requires brands to provide immediate answers to their customers’ questions. Chatbots and artificial intelligence are fast becoming critical tools for customer service, bringing speed and scale that ensures a superior experience. But what are the best practices that marketers need to know to tackle the challenges of customer service automation? ?Learn from experts from General Motors, Booking.com and Spredfast about how to bring automation into your CX workflows and bolster your social service strategies. You’ll find out: How to think about automation for your business? How chatbots enhance your agent workflows?? ??How Booking.com and GM are using AI to drive inspiration and customer? service efficiencies??
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Spredfast
Published By: iKnowtion     Published Date: Sep 14, 2010
The terms "customer segmentation" and "customer predictive modeling" are often used interchangeably, however, they're very different and support different business objectives. This paper explains why both are required to effectively compete in today's customer-centric marketing landscape.
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crm strategies, customer intelligence, marketing analytics, customer development, marketing effectiveness, iknowtion, segmentation, modeling, predictive modeling, customer centric, targeted, roi
    
iKnowtion
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: Oracle     Published Date: Feb 04, 2019
Join Oracle’s Director CX Strategy EMEA Director, Harald Behnke and Daryn Mason, Independent Customer Experience Leader, as they list their top three hyped technologies, and discuss innovations such as conversational Interface, AI and IoT.In particular, customer experience is all about personalised intelligence at scale, and IoT connects product to Front Office with convenient new options. Find out what’s happening in customer experience across the globe, and get inspired by the smart revolution.
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Oracle
Published By: SAP     Published Date: Nov 28, 2012
Across all businesses, they would like nothing better than to know what their customers like. How old are they? What do they like? Structured customer intelligence was the primary currency and see how social interaction enhances engagement.
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social interactions, sap, customer engagement process, customer, experience, customer relationship, multi-channel environment, business technology
    
SAP
Published By: Teradata     Published Date: Jun 12, 2013
Because subpar analytics put customer relationships at risk, Forrester is redefining the modern practice of web analytics as "digital intelligence." This new approach to analytics brings a set of expanded requirements and calls on firms to consider their technology frameworks, organizational structures, metrics, and optimization practices.
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web analytics, data driven marketing, digital intelligence
    
Teradata
Published By: Looker     Published Date: Dec 03, 2015
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI
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Looker
Published By: IBM     Published Date: Apr 21, 2016
Industry analysts expect North American sports industry revenue to grow at a compounded annual rate of 4.8% to reach $67.7 billion by 2017, with customer-generated data the most collected type of external data.1 IBM Fan Insight, a software as a service-based solution available in the IBM Softlayer Cloud, and offers sports teams the breakthrough customer intelligence they need to lead in their industry.
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ibm, sports marketing, sports industry, fan insight, kpi dashboard
    
IBM
Published By: IBM     Published Date: May 03, 2016
The new frontier for personalized customer experience: IBM Predictive Customer Intelligence This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
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ibm, business analytics, ibm predictive customer intelligence, business technology
    
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.
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ibm, ibm predictive customer intelligence, business analytics, customer relations, business technology
    
IBM
Published By: IBM     Published Date: Jul 29, 2016
Read this Forrester report to learn how digital intelligence can help you combine insights from existing, new and emerging channels to drive timely, customer-obsessed decision-making. Get an up-close look at the disruptive nature of digital intelligence technology and find out how to continuously improve customer engagement.
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ibm, commerce, cx experience, digital intelligence, customer engagement, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Aug 01, 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 experience, analytics, customer engagement, customer insight, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
Download and read this detailed “Redbook” from IBM to learn more about the capabilities and benefits you can realize from using IBM Predictive Customer Intelligence (PCI). You’ll learn how to use this sophisticated solution to enhance your customer relationships across all your channels and touch points.
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ibm, commerce, analytics, ibm predictive customer intelligence, predictive intelligence, knowledge management, enterprise applications
    
IBM
Published By: Genesys     Published Date: Feb 21, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: Genesys     Published Date: Feb 22, 2018
Your customers expect effortless and personalized engagement across all their channels. Delivering exceptional customer service requires the platform, infrastructure, applications and resources to identify, route and switch interactions seamlessly between agents and channels, while keeping relevant data available throughout the customer journey. Download this paper to learn how to: • Transform single interactions into personalized customer journeys • Empower employees with the right set of tools, including a unified desktop • Quickly deploy new technologies, like blended artificial intelligence (AI), bots and virtual assistants to exceed your customers’ rapidly evolving expectations
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: IBM     Published Date: Feb 27, 2017
Download and read this detailed “Redbook” from IBM to learn more about the capabilities and benefits you can realize from using IBM Predictive Customer Intelligence (PCI). You’ll learn how to use this sophisticated solution to enhance your customer relationships across all your channels and touch points.
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ibm, predictive customer intelligence, pci, customer relationships, channel integration
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: Fiserv     Published Date: Mar 02, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations. In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: • Global payment initiatives • Open Banking standards • Artificial intelligence and machine learning • Consumer demand for real-time fraud prevention and detection
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cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
    
Fiserv
Published By: LogMeIn     Published Date: Feb 27, 2018
Customer service organizations are struggling to react to the pace of innovation and the explosion of channels and devices. To get ahead of these challenges, AD&D pros must deeply invest in automation — automated answers, automated conversations, automated agent guidance, and automated end-to-end processes. They must also invest in intelligence to ensure automated technologies evolve and learn from prior interactions over time. Automation and intelligence quell the headcount increases. They will free agents from working on low-value or repetitive tasks, as they will only have to address highly complex customer scenarios or exceptions to standard operations. This also enables them to focus on building connections with customers to garner their satisfaction and loyalty.
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customer, service, operations, optimization
    
LogMeIn
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