A quick-start guide to data transformation

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 ??

  • A quick start guide to transforming your data
  • Lunch with a waterfront view in Boston
  • Story Spotlight: Allegro’s retail media network mission


?? 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.

?→ Get the data transformation starter kit


?? 3 resources to help you navigate data and AI

  1. Navigating The Sea Of Same: Tips For Finding AI That Drives Results - As author and tech leader Chris O'Neill writes, “efficiency alone doesn’t win the race.” When considering how AI can drive business outcomes, O’Neill muses on four tips for cutting through the AI noise. He suggests prioritizing more than sound bites on cost savings and efficiency. Instead, O’Neill recommends looking for real-world use cases from peers and AI that collaborates with humans rather than making decisions solo. Read the full story here.
  2. Mission to modernize: Poland's largest e-comm marketplace takes off - Allegro is the leading e-commerce marketplace in Europe and it’s on a journey to boost paid media performance and unlock new revenue sources through its retail media network (RMN). How did Allegro open the door to a modern data strategy and get the boost it was looking for? First-party data was the key. Learn more about their story here.
  3. [Event] Lunch and learn with a view in Boston this December - This is not your average lunch and learn. Fresh New England cuisine with a waterfront view from the Seaport Hotel in Boston is only the beginning. Metro Credit Union will lead a discussion on activating data in the cloud to turn up the volume on marketing campaigns. Plus, hear more about Metro Credit Union’s integration across the data ecosystem and its use of AI. Request a seat at the lunch table today when you RSVP.?


?? 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.


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