customer data integration

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Published By: SAS     Published Date: May 24, 2018
Implementing omnichannel marketing is often difficult, especially when using digital channels. Most products designed for digital channels lack the ability to integrate with traditional channels that have on-site processes and data. SAS Customer Intelligence 360 enables businesses to use both cloud and on-site channels and data. This integration is possible because of SAS software’s hybrid cloud architecture.
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SAS
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: SessionM     Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
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customer engagement, unified customer profile, customer data platform, data orchestration, customer data activation, machine learning, data integration, personalization, cross-channel campaign management, single customer view, 360 profile, customer retention, customer loyalty, customer lifetime value, closed loop offers, next best offer, loyalty automation, loyalty platform, customer data management, customer data platform
    
SessionM
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: 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: 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: 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: 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: 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
    
IBM
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: 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: 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: 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: 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: 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: 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
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: 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: 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: 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: Scribe     Published Date: Oct 09, 2013
Today’s customers are empowered with information – if they want to know something, they can look it up in an instant. Having information they need at their fingertips is expected. Having information at the ready – whether your sales or service personnel are in the field or in the office – is no longer a competitive advantage, it’s expected and required. In this whitepaper, you will learn how Scribe’s customer data integration solutions and connectors let you put customer information where it needs to go quickly and easily. Don’t be that business who makes their customers wait for answers!
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scribe, scribe software, data, data integration, business systems integration, applications, integration platforms, cloud, scribe online, it solutions, crm, crm integration, data management, business technology
    
Scribe
Published By: Scribe     Published Date: Oct 09, 2013
The State of Customer Data Integration 2013 survey report is based on over 900 responses ranging from independent business and IT leaders to Scribe's data integration channel partners. Overall results reveal that today's businesses are still on the journey to connect their core business systems and deliver customer data to their users across the business. Customer data should be free-flowing across all business touch points to enable companies to run faster, do more, and at lower cost.
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scribe, scribe software, data, data integration, business systems integration, crm, crm systems integration, cloud, it solutions, data management, business technology
    
Scribe
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
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