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Published By: Adobe     Published Date: Nov 07, 2013
Aberdeen's Insights provide the analyst's perspective on the research as drawn from an aggregated view of research surveys, interviews, and data analysis.
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adobe, aberdeen group, analyst insight, technology tools, buying behavior, customer experience management, cem, buyer interactions, customer engagement programs, adobe customers outperform, company brand awareness, big data, structured data, data quality, data integration, customer segmentation, customer empowerment
    
Adobe
Published By: Cisco     Published Date: Jan 21, 2015
Guido Jouret makes the case for surveillance that is no longer about a defensive security posture, but an offensive business imperative. Customers want to analyze the data they're collecting from these IP-enabled systems, from heat maps to the tracking of their customers to tighter integration between physical security infrastructure and other data center applications. The time has never been better.
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cisco, surveillance, ip-enabled, devices, data, integration, iot, business, security, business technology
    
Cisco
Published By: Cisco     Published Date: Jul 11, 2016
The Cisco Nexus® 9000 Series Switches product family makes the next generation of data center switching accessible to customers of any size. This white paper is intended for commercial customers new to Cisco Nexus 9000 Series Switches who are curious how the switches might be feasibly deployed in their data centers. This white paper highlights the benefits of Cisco Nexus 9000 Series Switches, outlines several designs suitable for small-to-midsize customer deployments, discusses integration with existing networks, and walks through a topology validated by Cisco for Cisco Nexus 9000 Series Switches, complete with configuration examples.
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Cisco commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations. To better understand the benefits, costs, and risks associated with Cisco Data Virtualization, Forrester gathered data through interviews with customers who had multiple years’ experience using the solution. All organizations used Cisco Data Virtualization as a single data virtualization integration platform to query and access data across their network. This includes accessing data that resides on the cloud and on-premises across various sources and systems.
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Cisco
Published By: Dell Software     Published Date: Nov 17, 2014
In the race to establish and maintain strong customer relationships, line-of-business executives are increasingly turning to cloud-based, software-as-a-service (SaaS) applications like Salesforce. That’s because these applications offer greater functionality and scalability than on-premises applications. An enterprise-grade, Integration platform as a Service (iPaaS) application can provide a unified approach and toolset to support today’s disparate, hybrid IT landscape, and offer benefits for companies of all sizes. Read this guidebook to learn how to build better customer relationships by connecting the data the data that runs your business, and automating business processes that can benefit from Salesforce application integration.
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integration, customer relationships, cloud-based software, functionality, scalability, data, enterprise applications
    
Dell Software
Published By: Genesys     Published Date: May 14, 2009
Customer loyalty is a two-way street. Businesses around the world are finding greater success at winning, serving and retaining customers when they are able to respond quickly and effectively whenever they call. Intelligent Customer Front Door (iCFD) is a metaphor that describes a set of applications and technological resources that enable businesses to identify callers and quickly aggregate information about them to assist in successfully resolving their needs. Learn more today!
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genesys, opus, customer loyalty, customer, crm, customer relationship management, retention, intelligent customer front door, icfd, interactive voice response, ivr, metadata, information, lead, mobile, establishment, consolidation, performing, optimizing, computer telephone integration
    
Genesys
Published By: Gigya     Published Date: Jun 08, 2015
As channels fragment and consumer identities multiply, businesses are struggling to achieve a single customer view. This guide provides actionable strategies to achieve this “holy grail” to better understand your audience, build relevant experiences and grow customer relationships. Get tactics and examples to help you: Identify your customers across channels and devices Manage today's volume and variety of customer data Integrate and apply data across marketing campaigns Build more personalized customer journeys
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customer data management, single customer view, cross channel, marketing segmentation, sso, federation, registration as a service, social login, first-party data, integrations, identity compliance and security
    
Gigya
Published By: Gigya     Published Date: Jun 08, 2015
Marketers are struggling to connect with consumers across all available outlets while still providing an aligned customer experience. The white paper examines three key ways to create a successful omni-channel experience while establishing cohesive brand and customer identities. Learn how to: Develop an interactive mobile strategy Streamline physical and digital interactions Engage customers across channels
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customer data management, single customer view, cross channel, marketing segmentation, sso, federation, registration as a service, social login, first-party data, integrations, identity compliance and security
    
Gigya
Published By: IBM     Published Date: Dec 12, 2006
This white paper will define different vendor approaches to developing business services and the relative cost implications of each approach for the customer. 
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service oriented architecture, soa, customer data integration, cdi, best practices, data integration, service-oriented architecture, customer interaction service, ibm, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Dec 12, 2006
This paper gives the reader an overview of the functionality of IBM's WebSphere Customer Center, and explains why IBM is the strategic partner that more Fortune 500 companies select as their strategic platform for Customer Data Integration.
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cdi, customer data integration, data management, data integration, customer service, customer interaction service, websphere, name matching, ibm, it management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jun 16, 2009
As products go to market quicker, employees, customers, and business partners need the ability to collaborate and access business data—when, where, and how ever they choose. Watch this illustrated demo to see how IBM offers a smarter, business-driven approach to Identity and Access Management. And how IBM’s extensive integration capabilities can enhance productivity without compromising security.
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identity, access management, secure, ibm, mmdg, enterprise single sign on, user data, security, threats, vulnerabilities, silo data, business processes, business users, security, swg
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, analytics, global business service, big data, business value, it professionals, volume, velocity, variety, customer analytics, trends and insights, information management, data security, integration, variety of data, analytic accelerator, infrastructure, data management, data center
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
The MDM of customer data solutions market segment grew healthily in 2012. New acquisitions and integrations of prior acquisitions by the Leaders have continued, and several visions for linking MDM and social data have emerged. This Magic Quadrant will help you find the right vendor for your needs.
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ibm, magic quadrant, master data, data, management, solutions, mdm, vendor, it management, data management
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This whitepaper talks about the steps to cloud expertise solutions
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hybrid cloud solutions, customer experience, hybrid cloud, data analytics, data sharing, infrastructure as a service, iaas, data integration, cloud environment, productivity management
    
IBM
Published By: IBM     Published Date: Feb 02, 2017
Many marketers are trying to better understand the customer journey, but factors such as a lack of data and system integrations, breakdowns in process, misguided focus, and inattention to key aspects of the buyer experience are preventing them from doing so. Learn how you can overcome these challenges and many others to deliver a better customer experience and drive more revenue.
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ibm, marketing, commerce, customer journey, crm & customer care
    
IBM
Published By: IBM     Published Date: May 26, 2017
Business executives and managers at business-to-business (B2B) enterprises care about time, money, competitive advantage, customer loyalty and growth. Few pay much attention to the vital IT infrastructure that supports transactions and collaboration with trading partners—though that B2B backbone directly affects performance and profitability. In fact, just 26 percent of business managers view B2B integration as a competitive differentiator, according to a study for IBM by Vanson Bourne, a research consultancy. As a result, many enterprises continue to utilize manual and error-prone emails, faxes and file transfers for B2B transactions. Reliance on complex, brittle and antiquated systems to exchange critical data impacts time to market, cost-efficiency and satisfaction across suppliers and end-customers. Modernization of B2B integration in recent years has moved forward in fits and starts, often undermined by competing priorities and misalignment between business and IT managers.
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b2b integration, customer loyalty, ibm, customer growth
    
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: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
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scaling data, big data, customer behavior, product usage, data integration
    
IBM
Published By: IBM     Published Date: Oct 17, 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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IBM
Published By: Informatica     Published Date: Sep 28, 2007
Don Tirsell, Senior Director of Product Marketing at Informatica, discusses "complex data," their recent acquisition of Itemfield, and how Itemfield's technology fits into Informatica's overall data integration platform.
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data integration, crm, crm tool, crm tools, customer relationship management, podcast, informatica, itemfield, data integration, data management
    
Informatica
Published By: MobileIron     Published Date: Feb 26, 2018
Enterprises are increasingly expected to support Macs as corporateapproved devices. In order to be in compliance, it is imperative that all devices accessing sensitive corporate and customer data be fully secured and managed. MobileIron delivers a new model for authentication and identity to Macs and enables enterprises to unify Apple mobile and desktop operations using a common security and management platform. MobileIron’s layered security can be extended to not only corporate-owned Macs, but to employee-owned devices as well. And, IT organizations can bring Macs under management across the organization with unparalleled speed and at scale thanks to seamless integration with Apple’s Device Enrollment Program (DEP) and Volume Purchase Program (VPP).
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MobileIron
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems, enterprise applications
    
MuleSoft
Published By: MuleSoft     Published Date: Jun 27, 2019
As the leading CRM system, Salesforce can accelerate and increase sales, enhance customer loyalty, and grow marketing capabilities. But how can businesses extend Salesforce to streamline business processes and maximize services and solutions? Effective and efficient integration of Salesforce with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications — is critical to enabling sales teams, increasing revenue, and better serving customers. Across the broad spectrum of Salesforce integration needs, patterns emerge for how to best address integration challenges. Integration patterns are the most logical sequence of steps to solving a specific type of integration problem. Learn how to synchronize CRM systems, migrate from legacy CRM systems, broadcast ERP data into your CRM system, and more. Download the whitepaper now.
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MuleSoft
Published By: Pentaho     Published Date: Jan 16, 2015
Download if you need to make decisions about the architecture of the systems you work on. Sponsored by Pentaho.
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embedded, big data, nosql, hadoop, customer analytics, data integration, data delivery, data management, data center
    
Pentaho
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