customer intelligence

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Published By: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 22, 2018
Gartner's “2017 Critical Capabilities for Security Information and Event Management” report assesses eight SIEM capabilities against the increasingly complex vendor landscape. The conclusion? Splunk had the highest score in the Security Monitoring use case. We believe customers rely on Splunk’s advanced security analytics capabilities to meet their SIEM and security intelligence needs — improving threat detection, investigation and time to remediation. It’s proven to help with compliance and incident reporting, automated alerting of common security events and historical analysis for detected incidents. CISOs, CIOs, and security and risk leaders should download Gartner’s annual report to make the best-informed buying decision for security and learn about Splunk’s leadership position in the market.
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Splunk
Published By: Arm Treasure Data     Published Date: Oct 17, 2018
What does it take to succeed in today’s hypercompetitive and hyperconnected digital economy? Keep reading to find out.
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arm treasure data, treasure data, customer data, data insights, customer intelligence, customer engagement, customer transactions, business technology
    
Arm Treasure Data
Published By: HERE Technologies     Published Date: Sep 26, 2018
Adsquare offers brands insights into customer behaviours and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, Adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places. and why customers make transactions in specific places.
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HERE Technologies
Published By: HERE Technologies     Published Date: Sep 26, 2018
How can brands make the most of the growing opportunities offered by location data? Understanding location and its connection to customer behaviour is key to gaining full and reliable insights and making efficient change. HERE is building and sharing real-time location intelligence which reveals why customers make transactions in specific places. HERE’s Open Location Platform contextualises consumer motivations in the world around them. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE also shares its own insights into the future of reaching customers on their mobile devices as they travel, including in-car advertising.
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HERE Technologies
Published By: Aberdeen Group     Published Date: Nov 13, 2015
Aberdeen’s Content Marketing survey revealed that while 95% of marketers are using or considering using a content marketing strategy, there are some distinct differences between those using content well and those just using content. The Best-in-Class are not only creating content at volume, they are taking a much more data-driven approach to their content marketing strategy — and it’s paying off. Find out how.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
    
Aberdeen Group
Published By: Aberdeen Group     Published Date: Nov 13, 2015
Aberdeen’s research shows that 90% of Best-in-Class marketers report fueling lead generation efforts with content marketing. What do you need to know to follow this best practice of the Best-in-Class? That’s exactly what this Knowledge Brief is intended to uncover.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
    
Aberdeen Group
Published By: Aberdeen Group     Published Date: Nov 23, 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, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
    
Aberdeen Group
Published By: HERE Technologies     Published Date: Jul 23, 2019
On-demand services that transport people in high volumes over short distances have a crucial role to play in changing urban transportation. New technology and data bring a wealth of opportunity for new mobility service providers to optimize, keep customers satisfied and achieve the operational superiority for which they’re all striving. This ebook looks at the critical role location intelligence can play in helping on-demand organizations make that extra drop-off each hour. By reading this ebook, you will discover: - How accurate location, asset and routing data can aid fleet optimization and improve service response times - How accurate pick-up and trip destination ETAs ensure time isn’t wasted connecting users with drivers - How services can calculate the fastest possible route between multiple waypoints to maximize journey efficiency
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here tech, mapping, location data, location intelligence, car sharing, ride sharing, e-scooters sharing
    
HERE Technologies
Published By: Cisco Umbrella EMEA     Published Date: Dec 03, 2018
Case study Objective: Enhance the customer experience by building automation into the security practice. Impact: • Decreased incident response time from days to minutes through automation, enabled by the Investigate API • Reduction in network security incidents and infected endpoints • Increased protection against malware, ransomware, and other threats on and off the network • Enriched security event data and threat intelligence with Investigate Download this case study today to find out the impact Cisco Umrella could have on your business.
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Cisco Umbrella EMEA
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. 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-centric 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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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
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: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
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: Mar 01, 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
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