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Results 1 - 25 of 333Sort Results By: Published Date | Title | Company Name
By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
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Hewlett Packard Enterprise
By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
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
By: Cisco     Published Date: Jun 21, 2016
Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.
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Cisco
By: SAS     Published Date: Jan 17, 2018
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
By: LogMeIn     Published Date: Mar 19, 2015
Remote support technology, including remote control, desktop sharing, and web collaboration, is one of the most popular platforms used across TSIA service disciplines. Today’s remote support solutions offer much more than just remote control for PCs, their functional footprint is expanding to include support for more devices and richer analytics for trend analysis and supervisor dashboards. Remote support solutions are typically well regarded by users, consistently delivering one of the highest average satisfaction scores in TSIA’s annual Global Technology Survey. Service executives should acquaint themselves with the new features and capabilities being introduced by leading remote support platforms and find ways to leverage the capabilities beyond technical support. Field services, education services, professional services, and managed services are all increasing adoption of these tools to boost productivity and avoid on-site visits. Download this white paper to learn more.
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remote support, remote technology, customer support, productivity, remote technology
    
LogMeIn
By: Pega     Published Date: May 25, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding each vendors’ CRM Customer Engagement Center solutions.
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best practices, customer support, business intelligence, business optimization, customer engaement, business management, business process management, customer interaction service, customer relationship management, customer satisfaction, customer service, collaboration
    
Pega
By: Adobe     Published Date: Apr 23, 2018
Adobe article that condenses/highlights key findings from the Econsultancy Digital Marketing in the Financial Services and Insurance Sector 2017 Study, an in-depth, 5000+ word report covering FSI executives’ opinions on: – General trends in retail banking, investment banking, and insurance – Internal structures their companies are using to execute digital transformation – The biggest threats/disruptions in the industry – The biggest priorities in 2017 (leaders are focusing on both customer retention and customer acquisition, mainstream is focusing just on customer retention) – Main sources of sales and leads (digital + mobile are steadily increasing sources) – Digital marketing budgets & investment areas (leaders are investing more in digital marketing automation and analytics) – Use of the cloud and AI to automate analysis and marketing – The importance of multichannel personalization – Innovation in the types/formats of products/services provided (leaders are focusing on i
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Adobe
By: T Systems     Published Date: Nov 28, 2018
The wait is over. Here at T-Systems, we are proud to present the findings of CXP Group - a leading independent European research and advisory firm in the field of digital, software and IT services. Their new “Digital Industrial Transformation with the Internet of Things” report examines the dynamic range of opportunities that IoT holds for businesses and explores the challenges of integrating existing data processes with those that are IoT enabled. The report is the result of the feedback cultivated from interviews with senior business and IT decision-makers responsible for creating and running innovation strategies at 250 large-scale European manufacturers. The data has been disseminated by region, strategies, pain points, IoT adoption, intention, investment etc. and provides readers with a detailed examination of what industrial businesses look for most from IoT. The report provides a fascinating unearthing of influencing factors for IoT readiness and digitization as a whole. Using
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industrial manufacture, iot, internet of things, iot adoption, european, digitization, digitization strategy, value chains, service providers, consultation, supply chain management, operational technology, data analytics, new business models
    
T Systems
By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
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source, language, english, spanish, speech to text, database, analytics, audio message, support
    
IBM APAC
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
By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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TIBCO Software GmbH
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