How to maximise value from data analytics
The best companies use data analytics to generate insight and make smarter, better-informed decisions which boost the bottom line. Find out how.
The best companies use data analytics to generate insight and make smarter, better-informed decisions which boost the bottom line. Find out how.
Businesses that harness the power of their data are not just more profitable in good times, they are also more resiliant in hard times. Here's why.
Find out why quality assurance is so important for analytical modelling and model risk management in the finance sector.
In the era of socially responsible investing, how can companies maximize business value along with ESG impact?
Despite everyone’s best intentions, diversity, equity, and inclusion initiatives often fail to go beyond checklist exercises. Can this change?
Find out what the current exam results crisis says about the role of algorithms in decision making and how we can ensure that those who take important decisions do not misuse these powerful tools.
Learn about the value that analysts can bring to a benefits management team and how they help with everything from planning to tracking to realizing benefits.
In this article, one of Hartley McMaster’s analysts shares the lessons he learned from his failed attempt at predicting football match scores. Warning: Do not try this at home!
Read more on how we helped the Royal National Institute of the Blind develop and implement a prioritisation approach based on MCDA.
Managers rely on analytical models to inform difficult decisions, but what happens when they fail? Here's how organisations can overcome this obstacle.
Procurement professionals know that it's tough to produce bespoke tender evaluation systems time and again. Here, we discuss how to generate bespoke score profiles to reduce risk and make the bidding process smoother.
Hartley McMaster has worked with Vodafone analysts for many years, helping to collect data and develop models used to identify the staffing required for stores.