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Outbound Call Center Tips & Best Practices

Callminer

Just because the technology makes it possible doesn’t mean you should do it.” Use lead-centric data mining tools to boost outbound results by providing much-needed context for calls. Gleaning data from corporate websites, news, and social media activities is a good place to start. Work becomes easy.

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Call Center Software: How to Choose the Best Software (Tips & Best Practices)

Callminer

Make sure any call center software you consider is capable of integrating with your CRM, social networking tools, helpdesk software and even marketing tools. New analytics tools also help businesses data-mine social media for signs of potential customer issues before phones start ringing. Be mindful of integrations.

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Avoiding Bot Biases in Customer Experience

Taylor Reach Group

MGI research found that 45 percent of work activities could be automated using current technologies; 80 percent of that activity is attributable to existing machine-learning capabilities. And let’s say a company just installed the latest super bot-CRM with a feature that can track a customer’s emotional state by using machine learning.

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Better Together: IoT and CRM for the Manufacturing Industry

SugarCRM

IoT and CRM: Better Together IoT is the connection of devices via the internet, while CRM is the collection of customer data through data mining with the purpose of providing useful insight into customer behavior for marketing and sales purposes.

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Beginners Guide To Tin Can API

ProProfs

Any system or device that is Tin Can compliant can record and store data about these activities and store it in a Learning Record Store in a standard format. Before Tin Can, SCORM was the leading standard for web-based electronic educational technology (e-learning). The History of Tin Can API. That of a “quantified learner”.

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Four Top Trends for Contact Centers

Taylor Reach Group

It was the first time that technology could automate a task that had previously been completed by an agent in a Call Center. . Business rules tied to applications, and informed by big data and data mining, can drive proactive interactions with or without an agent involved. .

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The Future of Marketing: Automation and Predictive Analytics

SugarCRM

Marketing technology moves fast. By combining techniques from data mining, statistics and machine learning, marketing automation platforms—such as our very own Sugar Market—allow organizations to parse and find meaning in large amounts of customer data. Marketing automation has been around for a while now.