Featured Insights

By Paul Alexander, CEO, Beyond: Putting Data To Work As Kirsty and Phil (and for that matter Kevin McC) never tire of proclaiming...

“Data are summaries of thousands of stories – tell a few of those stories to help make the data meaningful.” – Chip & Dan Heath Hotels...

General Electric (GE), in 2011, initiated a substantial plan to revolutionise its products and services through digital transformation. ...

Welcome to the First Edition of the ‘Challenges in Putting Data to Work’ Series IBM's Watson for Oncology was launched amidst great...

By Paul Alexander, CEO, Beyond: Putting Data to Work  Are you au fait  with Data as a Product (DaaP)? If not, read on because it’s about...

According to a recent Acxiom study, 99% of brands are planning martech changes next year. With more than a third ditching current tools...

How many times have you come across a situation where traditional qualitative research, let's call them what they are, surveys, just...

Beware GenAI snake oil! The assertion by Gartner (a company that frankly should know better) that by 2025, generative AI (GenAI) will be...

What do CDOs and dodos have in common? (Absolutely nothing) It seems Gartner is at it again. Not content with their somewhat alarmist...

Read about the surge in GenAI, what it means for your business and how to assess your levels of readiness.

Discover how to overcome challenges in digital transformation. Learn to align your team's objectives and KPIs for a seamless, successful tra

Understand how your business needs to consider cognitive diversity in its quest to drive up data literacy.

Discover the role of AI in retail banking of the future.

In today’s data-driven landscape, constructing a robust data strategy is a non-negotiable for any forward-thinking organisation.

Explore the use of data analytics tools and statistical modelling to forecast and anticipate customer behaviour

Discover the future of data science and AI in the fashion industry.

This paper will explore the use of data analytics tools and statistical modelling to forecast and anticipate customer behaviour in order to bring focus to business strategy more effectively and to tailor marketing and product offering for customers, to enhance their experience.  How can we improve customer experience? Improving customer experience should always come from a place of answering the needs of the user. Providing easy solutions to their problems, be that with a pr

Explore the transformative potential of integrating AI and Machine Learning with Data Fabric in our comprehensive white paper.

In the era of Big Data, businesses find themselves in possession of troves of data but are challenged by a significant proficiency gap.

The Executive Data Disconnect: Why It Exists and Its Implications