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By: IBM     Published Date: Aug 17, 2016
As digital transformation accelerates, the opportunity to engage customers digitally has never been greater ó but so has the threat of not delivering great customer experiences. In order for customer insights professionals to compete, the use of customer understanding to optimize experiences at scale must be at the heart of all digital transformation initiatives. Digital intelligence provides a vision and approach that captures a holistic view of the customer in order to optimize digital interactions, engagements, and experiences. During his talk James McCormick will describe the vision and need for digital intelligence; the approach needed to make it a strategic initiative, and ultimately, how it will provide a competitive advantage.
Tags : ibm, customer experience, commerce, customer experience analytics, data insights, digital intelligence, digital interaction, engagement
     IBM
By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools canít keep up with todayís digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBMís Customer Experience Analytics solution can solve them.
Tags : ibm, customer experience, commerce, customer experience analytics, data insights, crm & customer care
     IBM
By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools canít keep up with todayís digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBMís Customer Experience Analytics solution can solve them.
Tags : ibm, customer analytics, customer experience, analytics, data insight
     IBM
By: IBM     Published Date: Oct 12, 2016
Please join IBM and guest speaker Andrew Hogan from Forrester Research as we share tips on how to best measure the digital experiences customers have with your brand and how to use that information to build better journeys. The webinar will provide attendees with: - Best practices to measure the quality of digital customer experiences - Guidance on the kinds of tools to use to capture the right CX metrics - Tips for integrating metrics, including the role of customer journeys - Techniques to drive action and improve digital experiences"
Tags : ibm, commerce, customer analytics, customer experience, forrester research
     IBM
By: IBM     Published Date: Oct 12, 2016
As digital transformation accelerates, the opportunity to engage customers digitally has never been greater ó but so has the threat of not delivering great customer experiences. In order for customer insights professionals to compete, the use of customer understanding to optimize experiences at scale must be at the heart of all digital transformation initiatives. Digital intelligence provides a vision and approach that captures a holistic view of the customer in order to optimize digital interactions, engagements, and experiences. During his talk James McCormick will describe the vision and need for digital intelligence; the approach needed to make it a strategic initiative, and ultimately, how it will provide a competitive advantage.
Tags : ibm, commerce, customer analytics, digital intelligence, customer experience
     IBM
By: IBM     Published Date: Feb 01, 2017
View this webinar to learn what the experts are saying about the current state of digital analytics and hear why not upgrading is a threat to your business. James McCormack of Forrester will detail what steps you need to take now.
Tags : ibm, commerce, customer experience, digital intelligence, customer analytics, customer insights
     IBM
By: IBM     Published Date: Feb 01, 2017
Ordinary analytics tools canít keep up with todayís digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBMís Customer Experience Analytics solution can solve them.
Tags : ibm, commerce, customer analytics, customer insights
     IBM
By: IBM     Published Date: Feb 01, 2017
Increasingly, brands are looking to differentiate based on an exceptional customer experience. The key to improving the customer experience is being able to effectively measure what's working and what you need to improve. Watch this webcast where guest speaker Andrew Hogan from Forrester Research shares tips on how to best measure the digital experiences customers have with your brand and how to use that information to build better journeys.
Tags : ibm, commerce, customer analytics, customer experience
     IBM
By: IBM     Published Date: Jan 12, 2016
The core principles of retailing may remain the same but the methods by which retailers must reach out to customers are constantly evolving. As the need for real-time analytics and customer information grows more important, retailers need robust systems to manage the ever-expanding volumes of data.
Tags : customer experience, transaction processing, omnichannel banking, consumer demands, customer interaction, shopper experience, retail
     IBM
By: IBM     Published Date: Aug 28, 2014
Analyst report from Aberdeen on how companies using analytics as part of customer service activities perform compared to those without analytics.
Tags : analytics, service analytics, customer lifecycle
     IBM
By: IBM     Published Date: Oct 22, 2014
Download this white paper from MWD Advisors and get an inside look at what youíll need to (1) Empower your most valuable knowledge workers; (2) Provide exceptional customer experiences; and (3) Thrive in an increasingly competitive environment
Tags : customer service, case management, advanced analytics
     IBM
By: IBM     Published Date: Nov 06, 2014
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.
Tags : big data, data integration, analytics, customer matching, ibm
     IBM
By: IBM     Published Date: Jan 09, 2015
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.
Tags : ibm, big data, insights, infosphere, data management, dashboards, value, data matching
     IBM
By: IBM     Published Date: Feb 05, 2015
Revealing new insights into agency performance, claims processing, customer profitability and exposure.
Tags : agency performance, claims processing, customer probability, advanced analytics, business intelligence, market research, usability, data management/analytics
     IBM
By: IBM     Published Date: Feb 19, 2015
Read how Big Data and Analytics can help businesses deliver on customer needs, acquire customers, increase profitability and help retain the most valuable customers.
Tags : big data, business analytics, customer retention, customer aquisition
     IBM
By: IBM     Published Date: Jul 01, 2015
This whitepaper talks about the steps to cloud expertise solutions
Tags : hybrid cloud solutions, customer experience, hybrid cloud, data analytics, data sharing, infrastructure as a service, iaas, data integration
     IBM
By: IBM     Published Date: Oct 07, 2015
Whether you work in marketing, customer service, sales, finance, operations or another area of your business, IBM predictive analytics software puts a wealth of advanced capabilities at your fingertips, anywhere you need themóon premises, on cloud or as a hybrid solution.
Tags : 
     IBM
By: IBM     Published Date: Oct 07, 2015
Based on our interviews with customers that are leveraging advanced analytics to drive more predictive outcomes for their companies, we found the following conclusions were consistent across all customers.
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     IBM
By: IBM     Published Date: Apr 18, 2016
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.
Tags : ibm, mdm, big data, data management, data matching, customer analytics
     IBM
By: IBM     Published Date: Sep 30, 2016
In this exclusive report, Nucleus Research cites findings from interviews with IBM QRadar on Cloud customers who have adopted a cloud subscription model to access security intelligence & analytics capabilities. Download the report to read about the reported benefits, including better flexibility and agility to address a rapidly changing threat environment, increased IT productivity and access to a growing range of additional security services in the cloud.
Tags : nucleus, research guidebook, ibm qradar, cloud, security
     IBM
By: IBM     Published Date: Jan 09, 2017
In this exclusive report, Nucleus Research cites findings from interviews with IBM QRadar on Cloud customers who have adopted a cloud subscription model to access security intelligence & analytics capabilities. Download the report to read about the reported benefits, including better flexibility and agility to address a rapidly changing threat environment, increased IT productivity and access to a growing range of additional security services in the cloud.
Tags : ibm, nucleus, research guidebook, ibm qradar, cloud, security
     IBM
By: IBM     Published Date: Apr 14, 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.
Tags : customer analytics, data analysis, competitive advantage, understanding your customer base
     IBM
By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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     Cisco
By: IBM     Published Date: Apr 27, 2017
Itís hard to grow your business if you canít see whatís coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your businessí profitability with predictive analytics. Youíll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
Tags : predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
     IBM
By: SAS     Published Date: Feb 29, 2012
In this white paper, Ian Henderson of Sword Ciboodle and Retha Keyser of SAS describe what that ideal can look like and how to achieve it.
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
     SAS
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