customer analytics

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Published By: IBM     Published Date: Feb 02, 2016
Discover what it takes to deliver truly proactive care to customers and find out how active customer experience management can deliver significant business benefits in the form of cost savings, reduced churn, and increased revenue.
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ibm, customer management, customer loyalty, analytics, data, telecom, crm & customer care
    
IBM
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: IBM     Published Date: Jul 19, 2016
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: Neustar     Published Date: Aug 20, 2012
Attendees will learn how Arnold Worldwide combined advertising acumen with laser-like analytics to help a big brand build a comprehensive marketing strategy, refine its tactics, and help them understand not only who, within their industry are the best customers but also how to identify growth potential in key segments that are aligned with its business goals.
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segmentation, marketing analytics, brand marketing, consumer analtyics, customer analytics, custom segmentation, market strategy, marketing strategy, customize messaging, custom offers, media buying, improved marketing tactics, search marketing, email marketing, emerging marketing, internet marketing, crm & customer care
    
Neustar
Published By: Neustar     Published Date: Aug 20, 2012
Viewers will learn how to utilize customer data combined with next generation marketing analytics to create granular consumer segmentation that can be put to action in real-time on their Websites.
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web analytics, site optimization, segmentation, customize messaging, custom offers, marketing strategy, personalized website, custom landing page, increase conversion, customer data, search marketing, email marketing, social media, internet marketing, crm & customer care, marketing research, e-commerce
    
Neustar
Published By: SAP     Published Date: Jul 20, 2015
Read this white paper to learn why your data is being wasted and how to take advantage of customer analytics.
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customer analytics, big data, retailers, data diversity, budget, crm & customer care, sales
    
SAP
Published By: Google Analytics 360 Suite     Published Date: Sep 05, 2017
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink? Leaders Have a Data Strategy and Enable More Teams with Data In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making. Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy. In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use: digital analytics to optimize user experience in real time audience-level data to personalize customer experience customer-level data to segment and r
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Google Analytics 360 Suite
Published By: Google     Published Date: Aug 09, 2017
Get the low-down on the highlights from Google's marquee cloud conference in San Francisco. From unparalleled infrastructure to customer value and product innovation, Google Cloud Next ’17 showcased insights and solutions from across the industry. Whether you’re an enterprise or a startup, Google Cloud is here to help you build what’s next.
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customer experience, customer analytics, customer experience management, cloud
    
Google
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Spredfast     Published Date: Nov 15, 2018
Can chatbots provide a great customer experience? Watch how top brands automate social customer service practices. You'll learn how to enhance agent workflows and use AI to better connect with the people you care about most.
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social media customer support, social media manager, social media customer service, social customer service, media com customer service, social customer care, social media and customer service, customer service through social media, social media support, social media customer care, client management software, customer support software, social media management tools, social media monitoring, social media training, social media marketing companies, social media analytics, social media marketing, social media software, social media management software
    
Spredfast
Published By: Sage People     Published Date: Jan 26, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
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Sage People
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: iKnowtion     Published Date: Aug 11, 2010
Marketing executives seek ways to generate incremental revenue from marketing programs. A major retailer used customer insights and a customer development framework to drive profitability and generate millions of dollars in incremental revenue and greater profitability.
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crm strategies, customer marketing, crm, marketing effectiveness, marketing analytics, lift modeling, incremental revenue, greater profits, crm solutions/software, customer experience/engagement, business intelligence, data management/analytics, direct mail/marketing
    
iKnowtion
Published By: iKnowtion     Published Date: Sep 14, 2010
The terms "customer segmentation" and "customer predictive modeling" are often used interchangeably, however, they're very different and support different business objectives. This paper explains why both are required to effectively compete in today's customer-centric marketing landscape.
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crm strategies, customer intelligence, marketing analytics, customer development, marketing effectiveness, iknowtion, segmentation, modeling, predictive modeling, customer centric, targeted, roi, web analytics, crm solutions/software, customer experience/engagement, data management/analytics
    
iKnowtion
Published By: IBM     Published Date: Feb 02, 2016
Energy firms should build and nurture a customer-centric culture delighting clients while maximizing operational and financial results. In doing so, we’ll highlight the crucial role analytics plays in helping energy firms ensure operational efficiency and customer satisfaction.
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ibm, energy, analytics, utility, customer experience, data, customer satisfaction, social media, interactive marketing, web analytics, crm & customer care, business intelligence, reputation monitoring, market research, social media marketing, branding
    
IBM
Published By: IBM     Published Date: Apr 20, 2016
Energy firms should build and nurture a customer-centric culture delighting clients while maximizing operational and financial results. In doing so, we’ll highlight the crucial role analytics plays in helping energy firms ensure operational efficiency and customer satisfaction.
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ibm, customer experience management, cem, energy, utilities, energy sector, aberdeen group, crm & customer care
    
IBM
Published By: IBM     Published Date: Jul 06, 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
Published By: IBM     Published Date: Jan 27, 2017
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-c entric 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.
Tags : 
    
IBM
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: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: SAP     Published Date: Nov 29, 2012
"Customer centric" is a term we can all be familiar with and with good reason: Customers buy products and contract for services ass well as contribute on social media and blog sites sharing information on your products. How can we analyze this info?
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analytics, sap, social media, customer centric, analytics technology, emerging marketing, marketing research
    
SAP
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