ClearAction

JUNE 25, 2023

Instead of asking mundane things already captured , use data-mining (machine learning / AI) to bring those basics to managers’ attention, and focus your energy on acting on that rather than collecting yet more redundant data in this overwhelming information age. Instead of asking about your company , ask about them.

Artificial Intelligence 62

Artificial Intelligence CXM CX Data Mining 62

Intercom

MAY 31, 2022

If you give everyone the tools and resources to make them more effective at gathering, analyzing, and actioning insights that can be shared across your organization. So it was just looking at ways that we could do this on a bigger scale”. Eabha O’Sullivan, Customer Advocacy Specialist at Intercom.

Net Promoter Score 105

Net Promoter Score Customer Feedback Construction Data Mining 105

ClearAction

JULY 11, 2023

Technologies exist to manage it, and you’ll get tremendous insights that aren’t available otherwise. Your AI/ML/big data is grossly incomplete without mining Customer Service calls. Use voice mining and data mining to track defection turnaround. Tap into the 3X growth opportunity! I love it.

Customer Service 48

Customer Service Data Mining Non-Profits CXM 48

Taylor Reach Group

MAY 24, 2018

See a lineup of leading retail experts in analytics, data science, data mining, eCommerce & marketing optimization for 2018. Learn from Fortune 500 companies and innovative start-.ups ups to create a business strategy that will ensure growth for your business. Customer Contact – Europe: June 11-13, Dublin, Ireland.

Contact Center 48

Contact Center CX Healthcare Social Media 48

Helpt

FEBRUARY 14, 2024

It's the foundation of data analysis, involving the use of key performance indicators (KPIs) and other metrics. It involves more in-depth data mining and correlations. It's a forward-looking approach, making educated guesses based on historical data.

Machine Learning 52

Machine Learning Social Media Data Mining Artificial Intelligence 52

SugarCRM

DECEMBER 14, 2023

For example, SugarCRM steps in to translate that data into actionable insights. These tools transform your raw data into easy-to-understand charts and graphs. Before being used for analytics purposes, data must be cleaned and transformed. Only in this way can organizations leverage said data for decision-making.

Manufacturing 26

Manufacturing Sales Predictive Analytics Data Mining 26