Building a best-of-breed customer data tech stack is crucial for understanding your customers and their journey. Are you getting the most of your tech stack today?
Download our ebook to learn:
The important considerations and approaches for building a best-of-breed data tech stack
How to make sense of the data technology landscape with overviews and analyses of notable tools grouped by each layer of the data stack
How everything comes together with real-life examples of data tech stacks
Break down data silos to emerge with a clear, unified view of your customers.
In this ebook, we offer the ultimate guide for how to go about building a modern, best-of-breed tech stack for your customer data with the express goal of unifying it and creating a complete and actionable view of your customers. We cover:
Why Your Customer Data Technology Stack Matters
Storing and Querying Data: Data Warehouses
Data Pipelines to the Warehouse: ETL/ELT Tools
Capturing Customer Interactions: Customer Behavioral Data Tools
Connecting and Distributing Data: Customer Data Platforms
Visualizing and Exploring Data: Business Intelligence Tools
Heap allows us to stop relying on multiple vendors for marketing attribution. We finally have a complete, centralized view of which campaigns were associated with outcomes. We can get granular on who is doing what, when, and how.
