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Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

Here we are in 2020 with much better data collection than we’ve ever had. There needs to be a new way to organize that behavior data (that’s largely click data), and marry it together with the qualitative data that might be sitting in your CRM or other tools.

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What is customer experience optimization? (+3 actionable tips)

Zendesk

Evaluate both structured and unstructured data to develop a comprehensive understanding of your customers and their interactions with your brand. Structured data is quantitative information such as names, geolocations, and credit card transactions. Measure customer optimization metrics.

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How to get started with AI in 5 simple steps

CommBox

The pitfalls of business adopting a generic LLM – open AI, Bard, Generative AI – or any technology that can digest large amounts of structured and unstructured data and start answering based on that model is that this data needs to be fine tuned to your specific business.

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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. It is widely used in academic research, social sciences, market research, and business intelligence to process text-based data.

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Focus on Customer Experience Management to Improve Customer Retention

SurveySensum

Future is demanding and present era is flooded with unstructured data from various online or offline sources! For this reason, there is a growing need for technology that can break the complex and comprehensive customer feedback data into simple and useable insights. Purchase Transactions (Point of Sales Software).

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How IoT is Transforming CRM for Manufacturing

SugarCRM

CRM systems can leverage the Internet of Things (IoT; a system of interrelated computing devices, mechanical and digital machines that have the ability to transfer data over a network with no human interaction) to enhance end-to-end processes by connecting products, devices and equipment. Optimized Customer Experiences.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

You should have all the standard data, such as customer location, age, email, title, etc…, but you should also be inquiring why customers are leaving when they leave. The second challenge lies in whether it’s structured or unstructured data. Put a CRM in place and more importantly, have an expert set it up correctly.