Discover our latest thinking on the topics that matter most in business, data, and technology.
As your organization looks to optimize, consider these four advanced customer experience metrics for your CX toolkit.
Through simple proactive measures, you can avoid common Power BI data quality issues to ensure accurate and informative analytics
Monitoring in modern DevOps practices extends beyond source control and CI/CD, providing critical insights throughout the application lifecycle, driving operational efficiency and customer satisfaction.
Because we know behavioral coaching influences key KPIs, we can use coaching data to create custom programs to identify effective coaching methods and trends across teams.
By turning customers’ micro-decisions into micro-goals, intelligent experience engines usher in a new way to build incredible customer experiences at lightning speed.
Microsoft Copilot within Power BI, scheduled for wide release in March 2024, is poised as a disrupter within the BI solutions industry.
Traditional quantitative metrics and coaching techniques are evolving as AI-driven coaching increases both efficiency and personalization of training.
Is it possible to maintain data privacy while bringing improved personalization to healthcare marketing? Yes, with an enterprise data strategy enabled by API principles and an integration focus.
Getting honest feedback is crucial for every organization, so make sure your customer surveys drive business improvement while enhancing customer loyalty and satisfaction.
In addition to traditional market research, AI presents an exciting new way to analyze customer trends, behaviors, and needs.
A leading healthcare company challenged us to find a way to increase their close rate. So we built a data science solution tailored to their needs and customer base.
The best way to assure success along your data journey is to align on a Data and Analytics Strategy first.
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