customer intelligence

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Published By: Oracle     Published Date: Jan 16, 2014
Research and analysis shows that 57 percent of B2B buying steps are completed before a buyer even connects with a salesperson. The role that the sales organization plays in B2B buying cycles has become even more critical. Consistency is necessary through every customer touch point and forms the basis for great customer experiences. In this executive strategy brief, we will explore customer experiences throughout the selling process, how sales must adapt in the age of the customer, and ways to improve sales performance that will positively impact the customer experience.
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b2b, sales, customer service, customer experience, business to business, integrated communications, business analytics, business integration, business intelligence
    
Oracle
Published By: Oracle     Published Date: Jan 16, 2014
Research and analysis shows that 57 percent of B2B buying steps are completed before a buyer even connects with a salesperson. The role that the sales organization plays in B2B buying cycles has become even more critical. Consistency is necessary through every customer touch point and forms the basis for great customer experiences. In this executive strategy brief, we will explore customer experiences throughout the selling process, how sales must adapt in the age of the customer, and ways to improve sales performance that will positively impact the customer experience.
Tags : 
b2b, sales, customer service, customer experience, business to business, integrated communications, business analytics, business integration, business intelligence
    
Oracle
Published By: Oracle     Published Date: Jan 16, 2014
Research and analysis shows that 57 percent of B2B buying steps are completed before a buyer even connects with a salesperson. The role that the sales organization plays in B2B buying cycles has become even more critical. Consistency is necessary through every customer touch point and forms the basis for great customer experiences. In this executive strategy brief, we will explore customer experiences throughout the selling process, how sales must adapt in the age of the customer, and ways to improve sales performance that will positively impact the customer experience.
Tags : 
b2b, sales, customer service, customer experience, business to business, integrated communications, business analytics, business integration, business intelligence
    
Oracle
Published By: Microsoft Azure     Published Date: Apr 10, 2018
Help your sellers work smarter and build stronger relationships Sales teams work so hard, they can burn out quickly. It’s tough when customer contacts, sales goals, productivity tools, and social networking are all separated and siloed. Instead of working in separate systems that make day-to-day selling complex, you can help simplify the way your sellers work. And empower your team to be more productive and efficient. Our e-book, “The Savvy Seller’s Guide to Building Profitable Relationships,” is packed with advice for making selling much less painful—and more profitable. Did you know if your lead has had prior exposure to content from your company’s brand, that they’re 25% more likely to respond to your InMail? You’ll find this and more helpful facts in the e-book, including actionable insights to help your team: Identify the right leads—including pinpointing who’s on the buying committee Capture buyers’ attention Use insights and predictive intelligence from AI and machine learni
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Microsoft Azure
Published By: IBM     Published Date: Jan 27, 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.
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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
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.
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data, enterprise resource planning, customer relationship management, business intelligence, data management systems
    
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: 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: Bazaarvoice     Published Date: Jul 12, 2011
Thought leader Shel Israel shares ways to integrate customer intelligence into your business.
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bazaarvoice, customer intelligence, customer insights, customer centricity, shel israel, customer feedback, thought leader
    
Bazaarvoice
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios: Keeping track of essentials such as scalability and availability. Making sure your app delivers consistent service to multiple customers. Delivering data in real time, across the globe, without the complexities of multiple datacenters. Creating actionable insights from big data. Incorporating artificial intelligence into your apps. Locking down security while building in the cloud.
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Microsoft Azure
Published By: Gleanster     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 387 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions, rankings and analysis of 39 solution providers. Social intelligence is being increasingly used today to describe the next rung on the evolutionary ladder of listening to and acting upon consumer conversation on the social web. That rung maps to a number of technology innovations. Chief among them are improved capabilities around analyzing and integrating all sources of voice-of-the-customer data to generate more actionable insights. Social intelligence also speaks to an emerging corporate mindset regarding the strategic importance of social data and the need to better capitalize upon it. This Gleansight benchmark report reveals how Top Performers are achieving success when it comes to the incessant quest to extract customer insights and take actions that ultimately translate into revenue growth, cost reduction, risk reduction and relationship enhancement.
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social intelligence, marketing, social media, gleanster
    
Gleanster
Published By: Brandwatch     Published Date: Aug 23, 2016
As the consumer technology industry continues to grow and innovate, it becomes difficult for brands to stay at pace with expectations of their customers. Social media intelligence offers brands the ability to acquire important insights about both consumers and the market. This report summarizes key benchmarks and provides important insights regarding the state of social among the consumer technology industry.
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social media, consumer technology, social listening, b2b marketing, social data, social insights, consumer insights, social intelligence, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: Citrix NetScaler     Published Date: May 06, 2013
The ability to observe, diagnose, and subsequently improve the performance of business-critical applications is essential to ensuring a positive user experience and maintaining the highest levels of employee productivity and customer satisfaction. The challenge of establishing an effective application visibility and control function is only growing, as trends such as mobility, virtualization, and cloud computing fundamentally alter datacenter and application architectures. With NetScaler Insight Center enterprises get: • Unparalleled application visibility and invaluable operational intelligence; • Increased operational efficiency, as troubleshooting and capacity planning efforts are greatly simplified; • An optimized user experience that drives greater employee productivity and customer satisfaction; • Increased assurance that governing SLAs will always be met; and, • Reduced total cost of ownership, based on having a low-cost, low-impact solution—particularly compared to traditional
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application visibility, netscaler insight center, optimized user experience, low cost, citrix, knowledge management, enterprise applications
    
Citrix NetScaler
Published By: Oracle Social Cloud     Published Date: Jan 14, 2015
Social media allows consumers to be empowered in a brand new way, forcing organizations to change the way they traditionally do business. With unprecedented access to unstructured and structured data, companies have more information about the customer’s entire lifecycle than ever before.
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customer experience, chief digital officer, digital, social marketing, social intelligence, cmo, oracle, research, cio, marketing and it collaboration, crm, social business, socially enabled enterprise, cpg, travel, healthcare, financial services, marketing cloud
    
Oracle Social Cloud
Published By: MaritzCX     Published Date: Feb 02, 2018
This e-book presents results alongside an argument that action/behavior metrics are the best measures to help companies drive real action and lasting change. By downloading this eBook, you give MaritzCX and its partners permission to contact you for marketing and promotional purposes.
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martizcx, customer service, customer intelligence, monitoring, business technology
    
MaritzCX
Published By: PTC     Published Date: Aug 21, 2009
When launching products, creating manuals, providing customer service and doing other tasks that involve documentation, you cannot afford inefficiencies. IDC, the premier global provider of market intelligence, surveyed hundreds of companies to uncover common content-related inefficiencies and their costs. See the results in this white paper.
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product lifecycle, product lifecycle management, plm, product development, productivity, efficiency, ptc
    
PTC
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, business technology, data center
    
CDW
Published By: SAS     Published Date: Mar 31, 2016
In every industry today, businesses feel a fierce urgency to become customer-centric. They want to know what they can do to preserve and expand existing customer relationships and attract the best new customers.
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best practices, customer relations, business intelligence, analytics, big data, data management, customer data management, marketing, sales
    
SAS
Published By: Rokt     Published Date: Dec 17, 2018
Today’s travel industry is sitting on a major opportunity to drive increased customer value and ancillary revenue both on its booking confirmation page and throughout the checkout experience. In collaboration with travel intelligence company Skift, this report reveals best practices for getting smarter in the transaction. With insights and examples from brands including Airbnb and HotelTonight, learn about the 3 P’s of upsells: Prioritization, Personalization and Presentation.
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Rokt
Published 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
Published By: Brandwatch     Published Date: Nov 03, 2016
Learn how social media intelligence can fill gaps in your research mix. We provide six unique benefits of social media research, four key layers of the social intelligence stack and eight core applications of social media data for modern businesses.
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening, social intelligence, business intelligence, voice of the customer, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centrici
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IBM
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
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data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
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