The Core Reality
Technology and data leaders are investing heavily in AI, analytics, and large‑scale data platforms. Budgets are approved. Teams are in place. Pilots are running.
Yet many initiatives fail to translate into durable, enterprise‑level value.
This decision workbook is designed to avoid that. It provides a structured lifecycle for evaluating AI and data initiatives assuring that value, data, and governance are aligned before significant capital, time, and reputational risk are committed.
What's in the workbook
4-sections each designed to help leaders like you avoid common pitfalls, build successful frameworks, and deliver strategic value.
Data Project Kickoff Guide:
5 Steps to Evaluate AI & Data Initiatives Before You Invest
A list of questions to consider with your data experts to help validate assumptions, uncover risks, and ensure goal alignment.
Adopting a Recognized Value Framework
for AI & Data Initiatives
A framework to help you build a stronger enterprise business case by going beyond financial impact by adopting RVU for your data/AI projects.
Making the Right AI Investment Decision:
Build vs. Buy vs. Both
A guide to determine whether your data/AI initiative should be bought, built, or be a combination of the two, recognizing the strengths of each choice and often missed long-term impacts of each decision.
Data Evaluation Checklist:
Assessing AI-Ready & Defensible Data
A worksheet to compare data providers comparing their strength and weaknesses to determine which partner is right for you
LexisNexis data solutions give you the trusted intelligence and powerful tools you need to accelerate decision-making, strengthen risk oversight, and drive client confidence in every transaction.
