David Menninger's Analyst Perspectives

APRIL 17, 2025

Second, it enables more precise talent gap analysis, identifying where upskilling, reskilling or external hiring is required. Technology has become the game-changer in workforce planning, particularly through artificial intelligence (AI)-driven capabilities.

Forecasting 130

Forecasting Data-driven Gap analysis Finance 130

CIO Business Intelligence

APRIL 1, 2024

Those principles are data centric, platform first, cloud based, automation led, and zero trust (so that everything is secure from the start). Having this framework that outlines the principles allows us not to get bogged down in the process but to remain focused on making principle-driven decisions.”

Strategy 140

Strategy IT Digital Transformation ROI 140

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 98

Management Risk Measurement Optimization 98

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. When choosing between qualitative and quantitative data, think about what you want to learn.

Statistics 52

Statistics Sales Testing Marketing 52

CIO Business Intelligence

OCTOBER 2, 2024

While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy. This includes regular audits to guarantee data quality and security throughout the AI lifecycle.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

CIO Business Intelligence

MARCH 18, 2025

Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.

Risk Management 99

Risk Management Risk Management Metrics 99