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Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Pure Storage     Published Date: Jul 26, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage
Published By: Pure Storage     Published Date: Jul 18, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage
Published By: AdRoll     Published Date: Jul 11, 2017
The worlds of advertising and marketing technology are merging. This brings huge implications for marketers and the industry as a whole. In this report, you’ll learn: ? What’s the difference between ad tech and martech, really? ? Why are they merging? ? What difficulties does the merger present? ? How do brands stand to benefit? ? . . . and much more.
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advertising, marketing, artificial intelligence, automation, technology
    
AdRoll
Published By: Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume CX ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017
Published By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
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encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
    
IBM
Published By: Oracle     Published Date: May 05, 2017
Many companies today have relegated their sales organizations to the end of the line of data intelligence and technology investments.
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Oracle
Published By: SAS     Published Date: Apr 25, 2017
This Checklist explores how AI can be used to enhance marketing analytics and to help companies both better understand their customers and deliver a great customer experience. It also provides practical advice on how organizations can use what they may already be doing to become more effective in marketing.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.
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SAS
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: VMware     Published Date: Feb 24, 2017
Enterprise mobile capabilities ideally complement, protect, and enable market-leading mobile applications to improve workforce productivity and intelligence and enable increased sales performance as a result. After a number of years of considering the relative value of various new devices, mobile device management (MDM) paradigms, development methodologies, new services, and new connectivity models, retailers are ramping up investments in enterprise mobility. Rugged devices can be part of this business outcome-centered approach, adding enterprise mobility to deliver great experiences and comparatively reduce the economic cost of doing so — importantly, doing so with continued ease in supportability, excellence in performance, and consistency in usability. Retailers are continuing to invest in deployment of secure ruggedized mobile devices for many reasons that are explored in this white paper.
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VMware
Published By: eDataSource     Published Date: Nov 08, 2016
Why marketers must invest in Competitive Intelligence Applications, and implement a systemic process to harness the value of such insight.
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competitive intelligence, competitive intelligence operations, swot analysis, email, email marketing, marketers, cia, traditional marketing
    
eDataSource
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
    
Brandwatch
Published By: Brandwatch     Published Date: Nov 03, 2016
This report analyzes the social activity of 450 organizations and their consumers, in 15 industries. Download for access to The Social Industries Index, social engagement benchmarks, consumer & audience insights, and industry-specific research
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening
    
Brandwatch
Published By: Dun & Bradstreet     Published Date: Oct 24, 2016
Anyone who attempts personalized B2B marketing is pestered by a niggling problem. It requires us to get everything “right,” but what’s “right” is relative to the individual business buyer in question.
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digital marketing, b2b marketing, programmatic, customer data, marketing intelligence, social media, interactive marketing, customer experience/engagement
    
Dun & Bradstreet
Published By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
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api, market intelligence, advisory services, digital transformation, data
    
JBoss Developer
Published By: Brandwatch     Published Date: Aug 23, 2016
This whitepaper offers an inside look into how social consumer market insights work at the world’s biggest brands and agencies.
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening
    
Brandwatch
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
    
Brandwatch
Published By: Sitecore     Published Date: Jun 28, 2016
This webinar, presented by Scott Anderson, CMO at Sitecore, will explore how visionary context marketers are shifting their mindset and acquiring the necessary technology to understand every customer and use that intelligence to shape every experience at scale, in real-time.
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Sitecore
Published By: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: IBM     Published Date: Apr 04, 2016
Moving your company's security intelligence monitoring and management to the cloud can provide access to market leading capabilities and reduce capital expense. This paper outlines the advantages of the IBM security intelligence solution, delivered from the cloud, and monitored by service professionals.
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ibm, security intelligence services, ibm security intelligence solution, cloud
    
IBM
Published By: Akamai Technologies     Published Date: Mar 10, 2016
The web application firewall (WAF) is among the most complex security technologies on the market today. The complexity of managing a WAF includes a pre-defined list of rules to identify thousands of potential exploits, intelligence about new attack vectors, and identifying malicious HTTP requests from legitimate HTTP traffic. Read this white paper to learn how to combine attack detection with threat intelligence using our cloud platform and managed security services to better protect your web applications.
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akamai technology, web application security, http, best practices
    
Akamai Technologies
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