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preferences

Results 26 - 50 of 107Sort Results By: Published Date | Title | Company Name
Published By: Google     Published Date: Oct 26, 2018
In this Forrester Consulting report commissioned by Google, it explores cloud development approaches, preferences, challenges, and benefits among development and IT leaders at global enterprises. Among the key findings, it was clear that cloud is on its way to becoming synonymous with modern and innovative when it comes to applications. It also shows that application developers seek more agile tools with containers and functions that enable greater flexibility. Read the report to find out more.
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Google
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 08, 2018
Research commissioned by IBM reveals consumer preferences for identity authentication, including biometrics and multifactor authentication.
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security, identity authentication, multifactor authentication
    
Group M_IBM Q1'18
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Car-sharing, ride-sharing and ride-hailing aren’t new. Uber and other personal mobility services have redefined how people move from place to place. And now these services are beginning to redefine traditional car ownership itself. As people move from one vehicle to another, their personal information and preferences need to follow them, so the car they use feels like their own. Blockchain is defined as a shared, immutable ledger, and it can address many of the challenges that new types of personal mobility present.
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Group M_IBM Q119
Published By: Group M_IBM Q4'19     Published Date: Sep 17, 2019
The “Future of Identity” infographic provides highlights and surprising statistics from the "Future of Identity" study that revealed global and generational preferences and concerns on emergent sign-on methods. 3,997 respondents from the United States, European Union, and Asia Pacific regions weighed in.
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Group M_IBM Q4'19
Published By: IBM     Published Date: Oct 15, 2009
Read the white paper, "Understanding Consumer Patterns and Preferences in Multi-channel Retailing," to see how consumers are filling their baskets, why shoppers change channels and other key findings.
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consumer patterns, preferences, ibm, multi-channel retailing, retailer, shopping frequency, demographics, retail industry
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
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ibm, technology, marketing, predictive analytics, predictive imperatives, customer value, customer relationship management, analytics
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Read this white paper to learn how marketers are using IBM technology to learn about their customers' attitudes, preferences and buying habits from what they say on publicly available social media and through the full range of interactions that can be recorded, measured and analyzed. Discover how marketers are combining that knowledge with other sources of customer information to guide marketing decisions and shape marketing campaigns, cultivating relationships with online advocates to help steer product development, and, ultimately, boosting sales and revenue.
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paid media, owned media, earned media, social media, ibm, social analytics, pay per click, ppc
    
IBM
Published By: IBM     Published Date: Jan 18, 2013
Read this white paper to learn how marketers are using IBM technology to learn about their customers’ attitudes, preferences and buying habits from what they say on social media and through a range of interactions that can be measured and analyzed.
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analytics, social media, best practices, crm, marketing
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
Today’s empowered and enlightened banking consumers demand services according to their individual preferences whenever, wherever and however they interact.
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ibm, banking, omnichannel, transaction, consumers, services
    
IBM
Published By: IBM     Published Date: Oct 31, 2014
Today’s empowered and enlightened banking consumers demand services according to their individual preferences whenever, wherever and however they interact.
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omnichannel banking, customer experience, banking consumers, client-centric, best practices
    
IBM
Published By: IBM     Published Date: Jan 06, 2015
The essential bridge between an organization and its customers is the workforce. The ability to engage, develop, recognize and support employees will be critical in the decisive battle for customer loyalty. It is employees who represent the organization's brand in the market, who interact with customers on a daily basis, who analyze changes in customer preferences and who develop and maintain the technologies that help connect the physical and digital worlds. And, therefore, a motivated and properly prepared workforce will be indispensable for success in the customer-activated world.
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customer loyalty, employee support, workforce challenges, hr solutions
    
IBM
Published By: IBM     Published Date: May 07, 2015
The essential bridge between an organization and its customers is the workforce. The ability to engage, develop, recognize and support employees will be critical in the decisive battle for customer loyalty. It is employees who represent the organization's brand in the market, who interact with customers on a daily basis, who analyze changes in customer preferences and who develop and maintain the technologies that help connect the physical and digital worlds. And, therefore, a motivated and properly prepared workforce will be indispensable for success in the customer-activated world. Watch this webcast to learn: • Key CHRO insights from the Global C-Suite Study • Three workforce challenges for HR in a customer-driven world • Three actions HR can take with real-life examples
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workforce, employees, customer loyalty, branding, talent acquisition, ibm
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Voice of the customer (VOC) is a market research technique defined as the process of capturing a customer's expectations, preferences and aversions. Ideally, Voice of the Customer analysis produces a detailed set of customer wants and needs that is prioritized by company objectives or strategic goals. What has changed significantly is the volume and number of data sources and channels, inclusive of mobile device, kiosk, POS and tablet that are able to feed into the analysis of contextual VOC information via enabling VOC software, services and technologies.
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market research, new technique, market analysis, customer preferences
    
IBM
Published By: IBM     Published Date: Sep 30, 2015
Consumers demand services according to their individual preferences whenever, wherever, and however they interact.
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customer experience, transaction processing, omnichannel banking, consumer demands, customer interaction
    
IBM
Published By: IBM     Published Date: Jan 20, 2016
To succeed in the digital era, you have to be totally in sync with the behavior and preferences of your customers in a fast-changing landscape. You have to be quick and adaptable.
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ibm, cmo, challenge, business, roi, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 07, 2016
Attend this webcast to learn ways you can: 1. Educate the acquisition team about your audience. What are their preferences and motivations? 2. Utilize marketing tactics to reach the talent you want. Are your recruiters storytellers? 3. Measure success. Are you evaluating your efforts along the way? 4. Engage in continuous improvement. What challenges are you tackling every day to make yourself a better recruiter?
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ibm, ibm smarter workforce, work trends, employee acquisition, recruiting, recruiters, human resource technology
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics
    
IBM
Published By: IBM     Published Date: Sep 08, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting
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ibm, ecommerce, b2c, b2c ecommerce, commerce, data, business advisor, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Attend this webcast to learn ways you can: 1. Educate the acquisition team about your audience. What are their preferences and motivations? 2. Utilize marketing tactics to reach the talent you want. Are your recruiters storytellers? 3. Measure success. Are you evaluating your efforts along the way? 4. Engage in continuous improvement. What challenges are you tackling every day to make yourself a better recruiter?
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ibm, ibm smarter workforce, work trends, employee acquisition, recruiting, recruiters, human resource technology
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector. In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models. While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size. Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
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digital business, data, data-driven enterprise, innovation, ibm
    
IBM
Published By: IBM     Published Date: Apr 18, 2018
Driving changes Car-sharing, ride-sharing and ride-hailing aren’t new. Uber and other personal mobility services have redefined how people move from place to place. And now these services are beginning to redefine traditional car ownership itself. As people move from one vehicle to another, their personal information and preferences need to follow them, so the car they use feels like their own. Blockchain is defined as a shared, immutable ledger, and it can address many of the challenges that new types of personal mobility present.
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ibm, blockchain, mobility
    
IBM
Published By: IBM APAC     Published Date: Mar 19, 2018
Finnish telecom giant DNA’s vision is to have the most satisfied customers. They achieve this with Flash storage by accelerating daily reports on customer preferences and making agile business decisions accordingly. Read how they use IBM Flash Storage to cut its report processing by 66%, enabling it to provide the insights it needs to deliver the most relevant and valuable experiences to its subscribers.
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IBM APAC
Published By: IBM Software     Published Date: Feb 14, 2011
View this online demo to learn how leading retailers are using market basket analysis to gain insights into buyer patterns to offer products and promotions that match shopper preferences and behaviors as well as to link purchases to specific buyers to create tailored offers.
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ibm cognos, predictive analytic, market basket analytics, online demo, retailer, shopper preference, consumer behavior
    
IBM Software
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