customer intelligence

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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: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: Zendesk Ltd     Published Date: Sep 11, 2018
Customers have caught on that support interactions are getting better. When they reach out, they’ve come to expect an instant response that says “we’re here for you”. When they want information, it’s expected to be accurate, up-to-date, and easily accessible. Essentially, they come to expect efficiency during support interactions. As a result, businesses are becoming more cognizant of their self- service offerings. Customers want to be left feeling empowered; it’s even better when they can do so on their own. Self-service saves time for agents, cuts down on organizational costs, and leaves the customer with a positive outlook of a brand. This eBook delves into how AI can enhance your customer self-service offerings with automatically-generated knowledge bases, content cues for your service agents, and chatbots.
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customer service, customer experience, artificial intelligence, chatbots, self-service
    
Zendesk Ltd
Published By: HPE     Published Date: Mar 23, 2015
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
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HPE
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
Published By: Adobe     Published Date: Nov 07, 2013
One of the key objectives of Adobe’s current advertising campaign is to explode the myth that ‘managing websites is hell’. We believe that in this day and age, the idea that website management is a nightmare should be a thing of the past.
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adobe, econsultancy, trends and innovation, content management, customer experience management, driving engagement, brand-building, web content management, wcm, adobe experience manager, adobe marketing cloud, the cloud, cloud computing, social community, econsultancy and adobe, driving sales, multichannel customer experience, digital intelligence, targeting, segmentation
    
Adobe
Published By: Adobe     Published Date: Nov 07, 2013
In Forrester’s 53-criteria evaluation of online testing platform vendors, we identified the seven most significant providers — Adobe, Autonomy, Maxymiser, Monetate, Optimizely, SiteSpect, and Webtrends — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria, and where these vendors stand in relation to each other, to help customer intelligence professionals select the right partner for their online testing needs.
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adobe, forrester wave, online testing platforms, vendor selection, optimize core competency, digital marketers, maturing vendor solutions, future of online testing, growing online testing requirements, online testing vendors, balance functionality, balance usability, customer intelligence, right partner, online testing needs
    
Adobe
Published By: Nuance EMEA     Published Date: Jun 04, 2019
New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work. As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients. To find out more, download this ebook!
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Nuance EMEA
Published By: SAP     Published Date: Sep 19, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: Emarsys - APAC     Published Date: Jun 12, 2019
Omnichannel isn’t just another buzzword you can ignore. In fact, today’s most successful marketing strategies all take an omnichannel track that puts customers at the center of a diverse network of interactions and engagements. In this white paper, you’ll learn: • How email can serve as the foundation of your omnichannel strategy • How Artificial intelligence marketing (AIM) can make it possible to not only achieve true 1:1 personalization, but also scale it • How to apply a step-by-step roadmap to your brand’s pursuit of omnichannel excellence
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Emarsys - APAC
Published By: Adobe     Published Date: Jan 27, 2014
Quarterly digital intelligence briefing 2014
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technology, customer trends, digital intelligence, digital trends, marketing trends
    
Adobe
Published By: Arbor     Published Date: Mar 13, 2014
In this white paper, we’ll examine how the Pravail® portfolio from Arbor Networks can empower your network operations and security teams to more efficiently help protect the integrity and availability of your enterprise network against advanced attacks.
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arbor, arbor networks, enterprise network, global attack, connecting workforces, internal operations, growing revenue, retaining customers, increase competitive edge, cyber attackers, pravail portfolio, pravail solutions, attack intelligence, enterprise defense
    
Arbor
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
Modern solutions like CA PPM continue to raise the bar above last-generation IT demand management tools, continuously providing new features to ease the burden of the PMO, the financial manager, the resource manager and the product manager. In the last few years, new vendors looking to exploit the large and increasingly influential project and portfolio management (PPM) market have developed modules that “snap” into their SaaS platforms. These vendors claim their tools are easy to install, easy to manage and save customers money. It sounds too good to be true. And for most organizations, it is. Carefully consider whether you need a PPM solution that is only capable of providing low-level functionality for the project manager, or if your organization could benefit from PPM technology that provides 360-degree optics across your organization, delivers actionable business intelligence and enables extensive modeling and forecasting capabilities to make data-driven business decisions.
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CA Technologies EMEA
Published By: IBM     Published Date: Oct 20, 2015
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.
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ibm, customer, predictive, intelligence, revenue
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
See how Predictive Customer Intelligence can help identify opportunities to generate revenue, build loyalty, increase wallet share, and improve service.
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ibm, predictive, customer, intelligence, wallet share, revenue
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Jul 26, 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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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Jul 26, 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. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: ipoque     Published Date: Feb 14, 2019
Application-aware vEPC is the key to SDN/NFV service deployments. Deep packet inspection software provides granular network data, which lays the foundation for application awareness in mobile networks. This case study explains how a leading provider of virtualized network solutions uses the best-berforming deep packet inspection (DPI) software R&S®PACE 2 by Rohde & Schwarz to provide their CSP customers with overall network intelligence at a highly granular level.
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dpi, deep packet inspection, vepc, sdn, nfv, network analytics, virtual network
    
ipoque
Published By: Epicor Software Corporation     Published Date: Nov 03, 2016
Download the latest ERP Selection Guide designed based on our experience working with thousands of growing businesses all over the world.
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erp, erp system, enterprise resource planning, erp selection, erp evaluation, business system, epicor, tco, roi, customer support, erp vendor, finance software, manufacturing software, scm, accounting software, business intelligence, crm
    
Epicor Software Corporation
Published By: Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017
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
    
Arm Treasure Data
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