Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

Stage 3: Standardizing In the third stage of technology maturity, organizations are connecting these tools to more valuable data sources.

The level of maturity an organisation should aim for depends on its unique priorities and objectives. Data and technology should always be in service of delivering better marketing outcomes — not ...

Apply Digital's Neil Trickett explains how data maturity has changed the game since 1996 and how to ensure success for your business Caught somewhat uncomfortably between the dominance of tech giants ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

Explore the pressing data maturity problem in Singapore and what data professionals must do to adapt to the evolving landscape.

Dive into our in-depth report, in association with Skeleton Key, as we assess the levels of data maturity across four key APAC markets. The global data and technology landscape in advertising has ...

In this webinar, we’ll explore how data maturity serves as the essential foundation for unlocking the full value of AI and other tech advancements.

Three major surveys released between Fall 2024 and Spring 2025 offer distinct yet complementary views on martech and organizational readiness:  The CMO Survey (Duke University).  MarTech’s ...

While we may still grumble about the ability to forecast the weather from time to time, the amount of data collected about ...

Tech people have a different perspective than the business people.” She argues that a company’s AI maturity is directly tied to its data maturity. “It ties back to the maturity in their data ...

One quarter of organisations surveyed for the third Carruthers and Jackson Data Maturity Index found to have no data strategy as they increase artificial intelligence engagement.