customer sentiment

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Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue, media promotions, measurable influence, maturity level
    
Collaborative Consulting
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
Published By: IBM Software     Published Date: May 24, 2011
This book offers principles and tools you can use to discover how your customers behave - and how to put that knowledge into action to drive more sales.
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ibm, business analytics, data analytics, customer behavior, business intelligence, dashboard, social media, consumer sentiment
    
IBM Software
Published By: IBM Software     Published Date: May 24, 2011
This book offers principles and tools you can use to discover how your customers behave - and how to put that knowledge into action to drive more sales.
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ibm, business analytics, data analytics, customer behavior, business intelligence, dashboard, social media, consumer sentiment
    
IBM Software
Published By: IBM Software     Published Date: Aug 02, 2011
This book offers principles and tools you can use to discover how your customers behave - and how to put that knowledge into action to drive more sales.
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ibm, business analytics, data analytics, customer behavior, business intelligence, dashboard, social media, consumer sentiment
    
IBM Software
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis
    
Amazon
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 14, 2014
Stop to think about how - and how often - your business interacts with customers. Most organizations believe that only a small fraction of data on interactions generated are effectively put to use. Why is that? Check out this whitepaper to see.
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sas, voc, voice of customer, visual text analytics, best practices, customer voice, sound of sentiment, text data, customer data, analytical processing, structured data, enriched dataset, reporting, automatic generation, text analytics, text mining, data exploration
    
SAS
Published By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
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data integration, customer loyalty, customer service, big data
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
For years, organizations have recognized that a better understanding of customers can translate to more sales, increased customer satisfaction and reduced customer churn. Initiatives focused on a 360-degree view of the customer have gone a long way toward providing those benefits by synthesizing customer profiles, sales history and other structured data from multiple sources across the enterprise. But today, customer-centric organizations are discovering that there is more opportunity for growth when they enhance that 360-degree view with information from more sources, both within and beyond the enterprise (see Figure 1). Information in email messages, unstructured documents and social media sentiments—previously beyond reach—is now extending the 360-degree view.
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ibm, e360, customer satisfaction, customer retention, sales history, big data
    
IBM
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