Databricks

Overview

Databricks is a powerful platform for data engineering, analytics, and machine learning. It helps companies process and analyze huge volumes of structured and unstructured data across departments, tools, and systems. Many organizations use Databricks to bring together data from support platforms, surveys, CRMs, product logs, and custom applications. But even when that data is unified, making it usable for customer experience work is a challenge. Integrating Databricks with TheyDo solves that problem. It gives CX teams access to the insights stored inside Databricks without needing to write code or wait on data teams. You can connect your existing pipelines to TheyDo, and surface the most relevant metrics and feedback directly inside customer journeys. This makes your CX work faster, more accurate, and more connected to the business. Databricks typically includes data from a wide range of sources. You might be ingesting call logs from Genesys, usage events from mobile apps, ticket data from Freshdesk, and satisfaction scores from survey tools like Medallia. Many companies also use Databricks to run advanced models that identify churn risk, segment customers, or detect patterns in feedback. When these outputs are fed into TheyDo, they become part of a shared environment where teams can collaborate, prioritize, and track experience improvements over time.

What this integration enables in TheyDo

Bringing Databricks data into TheyDo connects the deep work done by data science and engineering teams with the day-to-day decisions made in CX. You can map experience gaps to journeys, score them by business impact, and see how they trend over time. You can also connect predictive models to real-world action by linking them directly to opportunities and solutions. For practitioners, this means turning machine learning outputs into something useful and actionable. For executives, it means all that investment in AI and analytics finally shows up in customer experience decisions. You get a clear line between data science, journey improvement, and business results. If you are asking how to make better use of Databricks data to improve customer experience, this integration is the missing link. It gives you the structure, context, and tools to turn data into experience intelligence and action.