BossNData

Early careers in the Data Sector are often defined rigidly as graduate roles, following several years of campus-based study. However, does this rigidity provide the diversity and breadth of experience and world view that the Data sector requires to be fully respondent to future challenges? Are we in danger of subconsciously blocking wide sections of the population from a potential opportunity to s...

Artificial intelligence, Blockchain, Cryptocurrencies and Data represent 4 amazingly powerful technological forces in the modern age. From an individual, organisational and societal perspective across the world – all 4 have had a massive impact. However, what are they really all about when you strip away the fake news and hype? What is the real deal? Vicky Byrom is an award-winning data leader and...

From personal, through team and departmental, to organizational – the importance of brand within the data sector has arguably never been more keenly felt than it is now. And with brand comes influence. Utilising brand to influence in areas like talent acquisition, self-promotion, side hustles and gigs and general thought leadership and community activity is now a key component part of a data leade...

Content Analytics is the practice of understanding exactly what content your organisation currently possesses, how effectively this content is being utilised and what influence this utilisation can have on your consumers or customer’s behaviour! It’s all about “reading the trails” that are left behind by people (and systems!) as content is delivered, discovered, and consumed. Megan Reutin is Globa...

We are all acutely aware of the need for the data industry to attract a constant flow of new talent. However, a quick glance at any available data will tell us that there’s a huge challenge in ensuring that the industry is able to educate, inspire, and attract young minds during their journeys from classroom to employment. Rachel Keane is the founder of the Data Inspiration Group and the digdata p...

Measurement in Data Science is a defining element of any proposed project. What, why and how we measure can often be some of the major factors in determining the success or otherwise of the piece of work that is subsequently carried out. The Measurement Mindset recognizes the critical importance of measurement and places it firmly alongside other factors such as domain expertise and communication...

Impact in Data projects is the alpha and the omega. It’s the reason why the Data function exists in the first place and the factor that causes so many people to study and work so hard to enter the industry. However, it’s not all plain sailing. When data projects go wrong, it’s often because they fail to deliver the impact that their owners and sponsors have promised. Impact is tangible, measurable...

The Data industry traditionally encourages strong links between commercial organisations and academia. From guest lecturing to internships to research posts and incubator spinouts, the lines between what can be two very separate and distinct communities in other industries seem to be blurring more and more every year. However, there are some recognisable differences between the two domains. Dr. Ja...

In this episode, we take a deeper dive into The Importance of Purpose in Work Our research has found that, over the last few years, data professionals have increasingly started to think about why they do the jobs that they do. If they can do the job that they want, for any company they choose, almost anywhere in the world, why stay at the one they are currently at — or what could potentially tempt...

In this episode we take a deeper dive into Diversity in the workplace. As increased globalisation and remote working patterns have presented themselves because of recent societal events, opportunities for organisations to attract and retain a more diverse and inclusive data talent pool have never been better. However, it remains to be seen whether some of the widespread gains in DE&I that the...

Globalisation has been a theme of data talent acquisition strategy for several years now. However, events such as Brexit, pronounced local talent shortages and the societal impact of the recent pandemic have accelerated many organisations towards more widely adopting work from home, work from anywhere and remote/hybrid work combinations. Stephen Garland is Chief Technology and Product Officer at T...

The data talent landscape has changed forever over the last few years with the impact of globalisation, remote working and the increasing demand for scarce human resources. These factors, and others, have caused a seismic shift in the ways in which organisations must structure their reward packages to both attract, and retain, data professionals. Increasingly, elements beyond a competitive salary...