Did you know? Having a unified solution with client and server-side data in one place solves for the problems created by a fractured approach to data collection and delivery, including data silos, inconsistent customer experience, and operational inefficiency. FEATURED PRODUCT + Tealium’s Event Data Framework solution is powered by two products— Tealium iQ Tag Management for client-side event data and Tealium EventStream for server-side event data. BLOG POST Product Spotlight: Tealium Event Data Framework FUNDAMENTALS Choosing between client-side and server-side FUNDAMENTALS What you need to know about mobile data DOCUMENTATION Getting Started with TiQ Tag Management DOCUMENTATION Getting Started with EventStream API Hub DEMO VIDEO Event Data Framework ~ Josh West, Senior Partner, Web Analytics Demystified The volume, variety, and velocity of customer data continues to grow, but no matter where customer data is coming from or going to, a data layer approach maintains readiness for any new technology. The Data Layer Approach DEMO VIDEO Using a Data Layer Client-side w/ TiQ DEMO VIDEO Using a Data Layer Server-side w/ EventStream VIDEO What is Data Readiness and Why Does it Matter? FEATURED PRODUCT AudienceStream Customer Data Platform SOLUTION Better Together: EDW/Data Lake + Tealium WEBINAR Is Your Company’s Data Ready for Machine Learning? Tealium helps you inventory and map your customer data so that you can easily get it where it needs to go. Whether you need to manage data via tags, webhooks, APIs, embedded libraries, or SDKs, Tealium’s Event Data Framework manages it all through one central platform. FEATURE Combining a vendor-neutral data layer with an extensive integration marketplace gives you the power to break down data silos and orchestrate richer customer experiences. FEATURED VIDEO Connectors SOLUTION Better Together: Amazon Web Services + Tealium SOLUTION Better Together: Adobe + Tealium WHITE PAPER Building a foundation for analytics success through Data Governance BLOG POST What to do when you don’t have a data layer FEATURED VIDEO Data Readiness
to and from your tech, vendors, and apps
Most companies have important customer data that needs to be managed client-side as well as server-side. Learn why you need both in one place.
Server-side, client-side, web, mobile, IoT— no matter where your customer data is or needs to go, Tealium’s enterprise-grade platform has options
Depending on your company’s tech or customer behavior (among other considerations), you may want to manage data client or server-side
Managing data from mobile devices is one particularly important challenge when it comes to unifying your event data infrastructure
Tealium iQ Tag Management supplies client-side event data infrastructure to get and deliver data
Tealium EventStream supplies server-side event data infrastructure to get and deliver data
A data layer is a common lexicon for your company’s customer data that allows you to plug and play any new technology by mapping it to your customer data foundation.
Unify disparate data sources and drive more consistent visitor interactions with pre-built and customizable javascript tags
Create a data layer for server-side data with attributes and event specs to map incoming data to your company’s definitions
Regardless of the current state of your data and technology infrastructure, there is more you can do. Right now. FInd out how
One beneficiary of an enterprise-grade and comprehensive event data infrastructure is a Customer Data Platform
An enterprise data warehouse or lake is much more valuable with a comprehensive data collection footprint
Connectors are pre-built, server-side integrations. With a unified system, you can use data collected client-side as a data source then deliver server-side
Supply pre-cleaned and pre-correlated data to your AWS data warehouse or data lake, and activate that data through over 1,300 integrations
Create richer data and more easily pass that data between Adobe products to maximize your investment and create richer customer experiences
The Event Data Framework helps you maintain high-quality data that can then be used to power applications like analytics
No data layer? No problem. Part of being a comprehensive solution is having options for any scenario