Tag: analytics

The concept of diversity is well understood in most businesses, as is the negative impact of having leadership teams made up of people who are homogenous in their backgrounds, beliefs and cultures. Research has shown, for example, that greater diversity in start-ups is equated with greater likelihood of success.

The global economy is facing challenges on many fronts, with inflation and recession becoming the words of the day. As a result, budgets that are always tight (like IT) are under even more scrutiny than before. Any unnecessary spending needs to be curtailed, for obvious reasons, but does data management fall into this category?

Over two years beyond the pandemic, the skills gap remains high, affecting productivity. Leaders now focus on leveraging the full potential of data, technology and people to speed transformation and growth. They've put it at the top of their agenda, and according to our research, it's the priority.

Design thinking (DT) is transforming the way companies create value. But what is DT?

Many are turning to technology in hopes that a new digital approach will reshape their operations and keep them a step ahead of their competitors. But while over 95% of executives (in our recent survey) are accelerating their transformation, an astounding 97% of them acknowledge that, at best, this effort allows them to keep pace but will not on its own help them create new growth.

Meta – the owner of Facebook, WhatsApp and Instagram – and Google tower over the digital advertising landscape. Given their dominant position, it’s understandable that they attract criticism from consumers, regulators and businesses for everything from how they manage fake news and hate speech to their stance on data privacy.

It has become an accepted fact that data is the single most important resource organisations have, with the potential to transform companies, unleash organic growth, and even improve the human condition. And as consumers begin to voice their expectations for personalisation and customer experience, the need for data management has never been more strategic.

Decision intelligence is the evolution of data, analytics, and insights that drives smarter business decisions and strategies. Gartner defines decision intelligence as space, wherein a variety of decision-making solutions and approaches come together, to create a framework and discipline that the business can leverage to guide decisions and strategies.

Even though concepts such as DevOps and MLOps have gained support in recent years, FinOps is a relatively new discipline that has yet to become generally practised. And yet, its potential to enhance financial services through a reinvented data strategy is significant.

The massive surge in cybercrime, the ever-increasing number of threat vectors, and a critical skills shortage has left organisations feeling more vulnerable to cyberattacks than ever before. With exponentially more ransomware incidents being reported than there are skilled cybersecurity professionals available, progressive businesses are looking to Artificial Intelligence (AI) and Machine Learning (ML) to close the gap.