customer intelligence

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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: Intel Corp.     Published Date: Nov 21, 2017
this Whitepaper will provide an overview on personalizing customer experiences to pinpointing undetected fraud, to identifying business efficiencies, Intel's Saffron Natural Intelligence Platform helps financial institutions increase revenue and prevent loss.
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Intel Corp.
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: Oracle     Published Date: Mar 08, 2019
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML). While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
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Oracle
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: 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: IBM     Published Date: Aug 01, 2018
Your customers aren't the only ones who can benefit from advancing artificial intelligence (AI) support — your employees can, too. Chatbots help employees who service customers, and you can build them with mature AI components. But success requires a focus on tasks rather than job replacement as well as a cyborg-like division between human and machine tasks. This report helps infrastructure and operations (I&O) pros determine which tasks are best executed by people and which are best left to machines, with use cases describing how that looks.
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IBM
Published By: Cisco EMEA     Published Date: Mar 05, 2018
Advanced Technology is having a growing impact on our everyday lives. Adoption of advanced technologies and virtual assistants such as Amazon Echo and Google Home are becoming more mainstream in homes. Meanwhile organizations worldwide are increasingly looking at how to implement similar technologies to improve productivity, speed workflows, and increase collaboration among employees, business partners, and even customers. To date, little is known about perceptions of technologies such as artificial intelligence (AI) and virtual assistants in the workplace and how they will impact how we work in the future.
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technology, customers, enterprise, business
    
Cisco EMEA
Published By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software
Published By: PitneyBowes     Published Date: Sep 29, 2010
Breakthroughs in relationship marketing are transforming the role of transaction mail-and those who manage it.
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pitney bowes, mail, transpromo, openability, postal, customer data integration, production intelligence, marketing, statement management
    
PitneyBowes
Published By: SAS     Published Date: Feb 29, 2012
This collection is part of the ANA Magazine Thought Leadership Series sponsored by SAS. The articles explore the variety of ways to use analytics to create marketing functions that are more accountable and profitable.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
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: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVE’s annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organization’s use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, it’s crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCO’s Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks’ digital transformation needs.
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artificial intelligence, machine learning, financial services, retail banking
    
TIBCO Software
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
    
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, data modeling, marketing analytics, iknowiton
    
iKnowtion
Published By: SugarCRM     Published Date: Oct 09, 2014
BancVue is the leader in branded, community-powered banking products that help local banks and credit unions thrive in the competitive banking industry. BancVue has tripled in size in the seven years since it began to run its business on Sugar.
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community-powered, banking product, customer intelligence, enterprise applications
    
SugarCRM
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, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAP Inc.     Published Date: Jul 28, 2009
Learn from today's sales leaders who have benefited from building a sales strategy based on a position of deep customer knowledge.
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sap, sales organization, best-run, sales opportunity, sales strategy, customer database, crm, customer relationship management, actionable intelligence, business intelligence, sales cycle, americas’ sap users’ group, asug, talent, price and margin management, pmm, enterprise applications, platforms
    
SAP Inc.
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: 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, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management, business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
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, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centricity,
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IBM
Published By: Webtrends     Published Date: Jun 13, 2011
All that data from the web, social and mobile, but how do you get actionable insight? Download tips and stories from John Lovett and Webtrends so you can create a culture of measurement in your company.
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webtrends, digital marketing, web analytics, business intelligence, customer intelligence, social media, data overload, mobile analytics, business culture, direct marketing, process improvement, measurement, measure, insights, dashboards, online advertising, digital optimization
    
Webtrends
Published By: Interactive Intelligence     Published Date: Nov 10, 2010
The demand for customer centricity is not only increasing it's becoming the driving principle behind any successful customer service strategy. Learn more about the recommended approach to customer centricity, from Marlon Machado, Product Manager, IBM and Brad Herrington, Sr. Manager, Solutions Marketing, Interactive Intelligence.
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interactive intelligence, ibm, customer service strategy, marketing segment, crm, cebp
    
Interactive Intelligence
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