Data Analytics & AI Solutions

This primer aims to distill the essence of AI in retail, offering decision-makers a clear view of how these technologies are shaping retail.

This article looks at the differences between data science and data analytics for C-suite executives to use in planning their data teams.

Understand the differences between Python and R and where and when to use them

Read about the role of data science and AI in sports, on and off the pitch.

A short digest of the kep implementation approaches available for implementing Generative AI in your business.

Understand and be aware of some of the pitfalls as your business introduces AI into its data analytics activities.

Quickly digest the key concepts and opportunities for AI in retail

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

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 how data analytics can be used as a force for good in the fight against the illegal wildlife trade.

In an era where retailers are battling shrinking profits we put the spotlight on the role technology has in surviving these times.

The emergence of AI technologies like ChatGPT has sparked a vibrant discussion around the future of work, especially in fields heavily reliant on data analysis. As we navigate through 2024, the question of whether AI will render data analysts obsolete is more pertinent than ever. This blog post explores the impact of ChatGPT and similar AI technologies on data analysis roles and offers insights into how professionals can adapt to these changes. Understanding ChatGPT, LLMs, an

Read about attrition modelling in the fuel cards market.

With the average bank spending between $200 million and $500 million a year on credit risk modelling – understanding how to make it more...

Explore the evolving landscape of Business Intelligence and Reporting in our comprehensive white paper.

Artificial Intelligence (AI) stands at the forefront of technological evolution, offering unprecedented advantages in enhancing sales.

In an era defined by data-driven strategies, leveraging descriptive analytics is pivotal for attaining enhanced business insight....

n this paper our data and strategy consulting experts outline an appropriate framework to measure a business's analytic capabilities