Data Axle (@Data

Data Axle

8,761 posts

Data Axle

@Data_Axle

Formerly Infogroup. We heart #data, probably because that's our specialty. Follow us to nerd out on data, #AI, #machinelearning, #marketing, #sales and more.

Dallas, TX, USA

Joined January 2009

Data Axle
@Data_Axle
Jul 24
AI success starts with your data foundation. Without governance, data quality, and scalable architecture, AI initiatives struggle to scale. Here's how to build AI-ready data architecture:
Building a Workable Data Architecture for AI Without Blowing Up Your Tech Roadmap
From data-axle.com
Data Axle
@Data_Axle
Jul 21
$400B in marketing spend—and execs still doubt the ROI. This blog breaks down how to measure credible marketing impact even with imperfect data—and rebuild trust at the executive level. Read more: hubs.la/Q04pNTgv0 #MarketingROI #DataTrust #CMO #RevOps
Data Axle
@Data_Axle
Jul 20
Search isn't the finish line anymore. It's where verification begins. 39% of consumers now cross-check multiple sources before choosing a business. In an AI-driven world, accurate business data builds trust. Read more hubs.la/Q04pNccq0 #LocalSEO #DataQuality #AI
data-axle.com
Bad Data Is Costing You Customers (Here’s the Proof)
Inaccurate business listings drive customers away. See the data behind lost trust, lower rankings, and missed conversions—and how to fix it.
Data Axle
@Data_Axle
Jul 17
AI is not just another technology shift. It's exposing the gap between organizations that are ready and those that are not. The difference comes down to one thing: data. Read what every organization needs to understand about building for the AI era:
AI Is Raising the Bar: Why Data Foundations Will Determine Who Wins
From data-axle.com
Data Axle
@Data_Axle
Jul 16
Data silos create compliance risk, fragmented customer experiences, and bad AI outcomes. 86% of organizations are prioritizing data unification for AI readiness. Here’s how to unify enterprise data without sacrificing governance or security:
data-axle.com
Breaking Data Silos Without Breaking Rules
A practical framework for unifying enterprise data while maintaining governance, security, and compliance.

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