Is Your Data Ready for AI? A 5-Step Guide to AI Success
With 83% of CIOs making AI a top priority, data readiness is critical for success. This infographic outlines the essential steps to prepare your data for AI—from building trusted datasets to implementing governance and scaling modern architectures.
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From Legacy to Cloud: Data Modeling Essentials for Modern Analytics & AI
Learn why data modeling for modern data platforms is the critical first step in your journey.
Introducing erwin Data Intelligence 15: Advance AI Governance and Use of Trusted Data
Successful AI outcomes demand confidence in the data and AI models you deploy throughout your organization. See the new capabil...
Data Lake Playbook for a seamless data lake adoption
Moving to a cloud data lake? Plan smart. Get our free eBook to avoid costly missteps and unlock your data's full potential.
3 Major Hurdles You'll Face Managing Multiple Database Platforms (And How to Overcome Them All)
The complexity of managing multiple database platforms can hinder your organization’s efficiency. This white paper explores the...
The Case for Switching from SAP PowerDesigner to erwin Data Modeler
Before SAP PowerDesigner reaches end of life, explore switching to erwin Data Modeler for industry-leading support, connectivit...
Data Modeling: Drive Business Value and Underpin Governance with an Enterprise Data Model
This white paper discusses data modeling and its business value across the enterprise. It also discusses the most common use ca...
5 Database Migration Traps to Avoid
In this paper, we will explore five common traps that organizations fall into during database migrations and provide practical ...
Quantifying the Value of Your Organization’s Data
Use this introduction to data valuation primer from Infonomics author Douglas B. Laney to understand the role of data valuation...