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customer opportunities

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Published By: Webtrends     Published Date: Apr 21, 2010
Change the way you approach customer targeting forever. Segments is a new add on to Webtrends Visitor Data Mart that makes building a customer segment drag-and-drop simple. Use it to quickly explore your data and uncover new targeting opportunities. And then easily export your segment to the marketing tool of your choice.
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webtrends, targeting, data mart, marketing tools, segmentation, segments
    
Webtrends
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: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service, emerging marketing, crm & customer care, marketing research
    
ClearSlide, Inc
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Industry leaders from the banking and vendor landscape are working to streamline the customer experience while closing the opportunities for fraud and exposure. Balancing security and convenience will require an approach that combines consumer-facing authentication (such as passwords, PINs and biometrics) with background security measures (such as transaction and session-behavior analytics).
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SAS
Published By: SAS     Published Date: Jun 11, 2018
Electric vehicle technology touches all areas of the utility business, including IT, forecasters and grid operations. The growth of IoT-connected devices, both in the utility-owned grid and customer-owned smart energy apps, makes this a rich field for innovation. But what analytics infrastructure is needed in order to manage the future demand coming from EVs? And what opportunities and risks do EVs present? This white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that utilities need to prepare for and benefit from the growth of EVs.
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SAS
Published By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: IBM     Published Date: Apr 22, 2014
Consumers are leveraging innovative and richly functional mobile devices to become connected and empowered like never before, reshaping the consumer/marketer relationship and raising the stakes for marketers to utilize the mobile channel to engage shoppers and drive revenue.
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ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
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ibm, retail, ecommerce, big data, retail technology, social media, data analytics, customer insights
    
IBM
Published By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer experience, commerce, customer experience analytics, data insights, crm & customer care
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer analytics, customer experience, analytics, data insight
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing marketing and improving the effectiveness of marketing campaigns, optimizing assortment and merchandising decisions, and removing inefficiencies in distribution and operations.
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ibm, retail, data, big data, power, stores, interact, social media
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
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salesforce, crm solution, data integration
    
IBM
Published By: IBM     Published Date: Mar 31, 2016
"Cloud, Mobile and Social are today's communication and engagement models for customers, employees and partners. And to support these models, your infrastructure needs to be simple, flexible, stable, scalable and highly secure. While the changing market dynamics provide growth opportunities for businesses, capitalizing on them requires organizations to build new capabilities that: Enable continuous delivery of new features Shorten product innovation time to market Bring the business value chain closer to customers, partners and employees
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ibm, websphere application server, java ee 7, it transformation, cloud, middleware
    
IBM
Published By: Sage SalesLogix     Published Date: Feb 10, 2009
The economic downturn means that businesses must capitalize on every opportunity to gain revenue. With the right customer relationship management (CRM) solution, you can protect current revenue streams and unearth new customer revenue opportunities-despite the most challenging market conditions.
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crm, customer relationship management, smb, customer centric, customer-centric, customer service, service, retention
    
Sage SalesLogix
Published By: Sage SalesLogix     Published Date: Sep 15, 2009
Your highest priority is to grow your business, and your business tools should help you achieve that goal. Sage SalesLogix provides a complete view of customer interactions across sales, marketing, customer service, and support so your teams can collaborate and respond promptly and knowledgeably to customer inquiries and opportunities.
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crm, customer relationship management, sage, saleslogix, customer centric, customer-centric, customer service, service
    
Sage SalesLogix
Published By: Esker     Published Date: Jan 08, 2019
Order management inefficiencies can cause a lot of headaches for today’s supply chain leaders — particularly those focused on customer fulfillment. This guidebook explores why digital optimization is an effective strategy for navigating these challenges, and examines the benefits that an AI-driven automated order management solution can bring, including: • Increased order processing speed & accuracy • Enhanced visibility, mobility & collaboration • Improved customer satisfaction & future business opportunities
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Esker
Published By: Esker     Published Date: Jan 14, 2019
Are you ready to rid your order management process from the pains of paper? Have you explored the advantages that automation could bring your department and entire company? If so‚ it’s time to sell order processing automation to upper management and other key stakeholders! Read our new white paper to discover how order processing automation in an ERP environment benefits the entire organization with: Cost savings due to fewer IT requirements and manual tasks Complete visibility and control thanks to customizable dashboards Improved employee productivity and customer satisfaction Opportunities to “grow lean” as order volumes increase Start building your business case and impressing top executives with your initiative by downloading the white paper today!
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esker, order processing automations, order management, knowledge management
    
Esker
Published By: IBM     Published Date: Oct 15, 2013
Discover the four key dimensions to personalized web marketing, and learn from the real life successes of enterprises that have made the personalized web a core part of their growth strategies.As you can see, web marketing can achieve comparable success when you make the four personalization steps your own.
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ibm unica, click-throughs, personalizing web experience, customer needs, data sources, specific site analyses, across channels, sales and marketing opportunities
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Understanding customer behavior can be as inscrutable as a foreign language unless you use analytics to decipher it.
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ibm enterprise marketing management, emm, predictive analytics, visual exploration, likes and dislikes, collecting customer data, monitor customer behavior, understanding individuals
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Using analytics and personalized marketing to increase revenue and customer loyalty
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search engine marketing, multichannel retailers, data science, retail marketing, online channels, traditional channels, optimizing marketing efforts, high-value customers
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Good marketing is like a conversation. You have to listen to your customers. In our connected world, that means listening to the data they generate in their interactions with your brand.
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enterprise marketing management, emm, capitalize market, data driven marketing, data collection struggle, data trails, customer behavior, mistargeted market
    
IBM
Published By: Oracle     Published Date: Nov 13, 2013
Today’s consumers expect better service, better products, and better communication with retailers. Without a single view of the customer across all channels – including social media – retailers risk alienating customers and driving them to other brands. To meet these challenges, many retailers are deploying software-as-a-service (SaaS) contact center systems that address these problems and create new opportunities. This eBook follows one shopper’s journey and how the concept of the contact center of the future provides the better overall experience.
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zenithoptimedia, oracle, smarter service, contact center, lowest tco, cloud-based contact center, contact-center solutions, oracle rightnow solutions
    
Oracle
Published By: IBM     Published Date: Feb 04, 2014
With higher mobile use comes more opportunities to reach consumers in different ways. How are you reaching your customers and making them consistent consumers?
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ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing
    
IBM
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