A quick-start guide to data transformation
Read time: 3 minutes
Thanks for reading Looped In, a monthly newsletter with tips for data-driven marketers and IT professionals.?
What's in this newsletter ??
?? 3 data transformation tips
Consider this your data cheat sheet: Get hands-on next steps and examples from real data and revenue professionals on how to take your data from zero to hero.?
Tip #1: Break down data silos - Data silos create their very own Tower of Babel. Teams work off different versions of the truth, operate with antiquated data processes, and can’t effectively communicate. The first step to transforming data relies on breaking down data silos and building a single source of truth.?
Tip #2: Democratize data across teams - Data-driven means putting your teams in the driver’s seat. This requires data strategies that outline what to do once you establish a single source of truth. It also means creating a process to deploy centralized data to your teams, like revenue teams using customer data for more personalized experiences.?
Tip #3: Build data-driven strategies that scale revenue - Once you have centralized data and a way to deploy it, you’ve got to know what to do with it. Think of it this way: if you put the revenue teams in the driver's seat, what’s their GPS route? According to real-world examples from data and marketing professionals who’ve been in the driver's seat, they start with personalization and optimizing campaigns with first-party customer data.
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?? 3 resources to help you navigate data and AI
?? 3 LinkedIn posts to save for later
1. A CTO's take on AI in marketing and the role of privacy and ethics. See Tameem Iftikhar 's post here.
2. Scott Brinker of chiefmartec.com shares his thoughts on the rapid changes to the marketing technology landscape and what's next. See the post here.
3. Google Cloud updates marketplace with agentic AI solutions. See the post here.