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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 customer analytics


Achieving customer loyalty with customer analytics
In this white paper, learn how organizations like yours are using customer analytics to build and sustain customer loyalty. Customer analytics helps answer key

customer analytics  customer loyalty with customer analytics In this white paper, learn how organizations like yours are using customer analytics to build and sustain customer loyalty. Customer analytics helps answer key questions about who your customers are, what they want and will do next, and which actions and strategies are most likely to generate loyalty. It’s a powerful and innovative technology, but still operates on the traditional business axiom that customer loyalty begins with customer satisfaction.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Customer Relationship Management (CRM) RFI/RFP Template

Sales Force Automation, Marketing Automation, Customer Service and Support, Analytics and Reporting, and Technical Functionality 

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Documents related to » customer analytics

Customer Analytics for Dummies (IBM Limited Edition)


In this e-book, take a look at the concepts for getting started with customer analytics and the specific techniques associated with it.

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Customer Analytics Pay Off


To help organizations develop a customer analytics strategy designed to drive growth and increase customer satisfaction, the IBM Institute for Business Value has identified four stages of organizational capabilities and associated customer analytics strategies.

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Customer Analytics in the Age of Social Media


This TDWI Best Practices Report examines organizations’ current practices and future plans for customer analytics technology implementations, with a special focus on how organizations are adapting to the knowledge potential as well as challenges of social media networks. The report offers recommendations for achieving greater return on investment (ROI) from customer analytics processes.

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Minimize Customer Churn with Analytics


With IBM Business Analytics solutions for customer churn, communications service providers (CSPs) can understand sentiment and identify social influencers, analyze structured and unstructured content to predict the likelihood of churn, drive revenue through personalized offers and tailored bundles, and create new programs to attract new customers and boost average revenue per user.

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Service: Reduce Cost While Maintaining Customer Satisfaction


Maximizing profit by providing top-quality service at minimum cost is no longer optional – it’s imperative. Reducing the cost of service while keeping customers happy is the primary objective of customer service organizations. Customer relationship management (CRM) applications help you streamline customer service processes and reduce cost, enabling you to keep your customers happy and grow your business. Find out how.

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Business Analytics: New Opportunities for the Medium-size Business


New business analytics solutions are bringing large-enterprise solutions and benefits down to the medium-size business’s level. They are exceptionally comprehensive but exceptionally customizable to the needs of the individual business, easy to upgrade to target new strategic initiatives, and in tune with customer trends such as social media use. This paper discusses one such effective business analytics solution.

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Using Analytics to Help You Overcome Your Supply Chain Challenges


Many enterprises are turning to analytics, and even predictive analytics, to capture and make sense of the increasing amount of data that enterprise systems are generating. While there is considerable focus on “big data”, a perhaps more useful focus would be on best practice use of analytics to better understand the specific supply chain issues within an enterprise.

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Analytics: A Blueprint for Value in Mid-Market Organizations


While most mid-market companies have an analytics foundation designed to handle structured data, few have evolved to more dynamic environments required for big data and a pervasive and prescriptive use of advanced analytics that are essential to survive in a digital world. So, what should mid-market companies do now to improve their capabilities to convert data-driven insights into meaningful results? In this report, we explore how they can tap into their strengths, shore up their weaknesses, and learn from analytics leaders.

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Making the Business Case for Analytics in the Mid-Market


To build a strong business case for investing in analytics, mid-size companies need to overcome common barriers to adoption, and focus on value propositions that align with revenue growth and cost containment. The use cases captured in this paper demonstrate the value that organizations have realized in sales, risk management, and corporate reporting through analytics.

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Enhancing the Customer Experience with Loyalty Management: Strengthen the Brand and Improve Customer Retention


Customer churn is very costly—it’s many times more expensive to acquire a new customer than to keep an existing one—so retaining customers by offering a superior experience is a top priority. Also, delivering unique experiences to different customer segments is a valuable strategy. Read about how to increase brand equity and retain customers by offering a better experience.

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