service analytics

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The Rise of The Composable Enterprise

Published By: MuleSoft     Published Date: Apr 13, 2016
Today’s successful organization needs to be able to turn on a dime, changing its product or service direction as fast as its customers’ needs require. The successful business of the 21st century crosses all boundaries; can quickly meet and adapt to competition, whether it comes from another part of the world, another industry or a startup; or it can use its core competencies to extend itself in new ways. Welcome to the Composable Enterprise. This kind of company—powered by cloud, open APIs, data analytics, mobile and social, and connected to the Internet of Things—is redefining markets and raising consumer expectations. The composable enterprise casts away the hierarchical and hardwired systems and processes that defined its predecessors, and represents a radical rethinking of how technology can serve innovation and how innovation can serve customers.
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enterprise network, digital management, enterprise application, application management, data, data analytics, cloud management, enterprise applications, infrastructure, network architecture, application integration, analytical applications, business intelligence, configuration management, content integration, content management system
    
MuleSoft

The Total Economic Impact™ of ServiceNow

Published By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
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operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm, it service management, management, service, automation, productivity, infrastructure
    
ServiceNow

Restoring Connections

Published By: IBM     Published Date: Apr 26, 2016
Restoring connections: How telecommunications providers can reboot the customer experience IBM has more than 22,000 experts working in the Telecommunications industry, delivering solutions to more than 200 major communications service providers globally. IBM’s telecommunications capabilities are backed by a global network of telecom solution labs, research labs and innovation centers to support its offerings in the area of analytics, cloud, mobility, network optimization, digital transformation and global integration. IBM continues to invest significantly in key acquisitions to add expertise and capabilities that enable its clients in the telecommunications space.
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ibm, ibm institute for business values, telecommunications, customer experience, communications service providers, csp, customer relationship, customer relationship management, customer satisfaction, customer service, business technology, telecom
    
IBM

Engaging in the age of the customer

Published By: IBM     Published Date: Nov 10, 2016
Are you aware of the ongoing dialog about your products and services? Are you participating? Recent surveys show that organizations that deliver good customer experiences are reaping greater revenues than those that don’t. Yet companies are struggling to pivot towards the customer, because it often requires a complete overhaul of management, culture and technologies. This session will show how to defeat content chaos, streamline and accelerate onboarding and service processes, minimize friction with customers, use analytics to anticipate and prepare for customer needs, and give your front-line people the tools they need to offer a superior experience that will grow your revenues and generate great word of mouth.
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ibm, analytics, ecm, engagement, customer, enterprise applications, business technology
    
IBM

Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18

Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys

New Era of ECM for Government

Published By: IBM     Published Date: Jan 20, 2017
Government agencies are taking advantage of new capabilities like mobile and cloud to deliver better services to its citizens. Many agencies are going paperless, streamlining how they interact with citizens and providing services more efficiently and faster. This short video will show real examples of how government agencies are applying new capabilities like cognitive and analytics to improve how they ingest, manage, store and interact with content.
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ibm, ecm, analytics, smarter content, ecm for government, enterprise applications, business technology
    
IBM

Gartner - Are You Ready for Multicloud and Intercloud Data Management?

Published By: Datastax     Published Date: Jun 20, 2019
A Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider. This report assesses the shift to multicloud architecture, challenges being faced by data and analytics leaders, and the growing need for database management technology that enables integration of data across multiple clouds.
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Datastax

The Winning Formula for Financial Services

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
As a financial services provider, you have probably invested hundreds of thousands, if not millions of dollars, in building an analytic infrastructure. But, do your line-of-business analysts and managers have access to the data and insights they need, when they need them? Three ways Alteryx can help you improve customer experience, manage risk and increase operational efficiency Case studies on how your peer financial services companies are using self-service data analytics for a competitive edge
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Alteryx, Inc.

The Definitive Guide to Self-Service Data Analytics

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools
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Alteryx, Inc.

The Untapped Power of Self-Service Data Analytics

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.

Putting An End To Content Chaos

Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18

Create a Tranformative Digital Experience

Published By: Group M_IBM Q1'18     Published Date: Feb 09, 2018
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
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digital experience, ibm, software
    
Group M_IBM Q1'18

Self-service analytics for data storytelling

Published By: IBM     Published Date: Jun 04, 2018
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data. Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results. Watch this webinar to learn how to use IBM Cognos Analytics to: · Create the important elements of a good story · Put the data in context · Select the best type of ch
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data analytics, data storytelling, business intelligence
    
IBM

Next Gen Business Analytics - Intersection of Discovery and Dashboards

Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM

Data Integration Reaches Inflection Point: Survey Results

Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM

Best practices for performance analytics excellence

Published By: ServiceNow     Published Date: Sep 18, 2018
Where are you on the journey to performance analytics excellence? Almost all businesses use some form of analytics, but many are still not applying them to measure performance against quantifiable goals. Use this maturity model to see how far you’ve come on the path to performance analytics—and how far you need to go. No matter where you’re starting from, there’s a path to performance analytics. Discover how ServiceNow Performance Analytics could benefit your business by downloading this eBook.
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performance, analytics, servicenow
    
ServiceNow

Top five reasons to become a performance-based business

Published By: ServiceNow     Published Date: Sep 18, 2018
What is a performance based business? A performance-based business is an organization guided by data-driven decisions. It is proactive, self-aware, and highly competitive. Data isn’t siloed in a business analytics department. Instead, the right people have the right data at the right time and in the right context. The top 5 reasons to become a performance-based business: 1. Get better results. 2. Align your entire business. 3. Make data-driven decisions. 4. Manage change more effectively. 5. Spot trends faster. Discover how ServiceNow Performance Analytics could benefit your business by downloading this eBook.
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performance, business, data, servicenow
    
ServiceNow

Case Study by Nucleus Research: Worldpay

Published By: ServiceNow     Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees. Download this case study to learn more
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nucleus, research, worldpay, servicenow
    
ServiceNow

Play to Win: Performance Analytics Empowers Your Business

Published By: ServiceNow     Published Date: Sep 18, 2018
When a global transportation logistics provider wanted to improve support for its global network of branch offices in the Americas, Europe, and Asia, it used performance analytics to monitor and analyze the organization’s support processes. Not only did performance analytics dramatically increase visibility—allowing the company to move from monthly reports to on-demand performance dashboards—it also uncovered major process bottlenecks. In one case, resolving a single bottleneck increased efficiency by 17%, making support far more responsive while saving hundreds of hours of effort. Discover how ServiceNow Performance Analytics can benefit your business by downloading this white paper.
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performance, analytics, business, servicenow
    
ServiceNow

TIBCO Cloud Mashery

Published By: TIBCO Software     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software

Break Down the Barriers to Better Data Analytics

Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software

Hemlock Semiconductor Manufactures Success with TIBCO Connected Intelligence

Published By: TIBCO Software     Published Date: Jul 22, 2019
Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more. Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination. Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
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TIBCO Software

Data Warehouse Appliances and the New World Order of Analytics

Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119

Data Warehouse Appliances and the New World Order of Analytics

Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19

HFS Top 10 Cognitive Assistant Service Providers

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
HfS published the Top 10 Cognitive Assistant Service Provider report that explores the emerging conversational service provider ecosystem across key areas including execution ability, innovation capability, and the voice of the customer. The conversational services called as Cognitive Assistants, go beyond the traditional chatbots and augment human-customer interaction across both front- and back-office business operations. IBM was recognized for its market leadership in Cognitive Assistant that harness the power of IBM Watson capabilities – including NLP, conversation and analytics. HfS also merits IBM for demonstrating the greatest volume and depth of cognitive assistant use cases across industry verticals and enterprise processes.
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Group M_IBM Q3'19
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