Weekly News Digest: 10th - 14th May 2021

Joshua Poore our consultant managing the role
Posting date: 5/14/2021 11:14 AM
This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.      

Personnel Today: Mental Health Awareness Week: Concerns up 24% from last year


It was Mental Health Awareness week this week, and this year, the focus was on the theme of nature. Personnel Today revealed some worrying statistics on the back of research from Close Brothers into the state of the population’s wellbeing in 2021. 

Reports of mental ill-health has increased by nearly a quarter since this time last year as a direct consequence of the stresses and strains of COVID-19. From yo-yoing in and out of lockdowns to extended periods of isolation, job uncertainty and illness, this year has been like no other and it’s most certainly taken its toll. 

  • 63 per cent of 16–34-year-olds report mental health worries, up a seventh from last year.
  • For those who are 55+, this worry has risen by a third.

In this piece, it is made clear that the underlying issue lies not only with COVID-19, but the lack of support given by employers. The research revealed that 70 per cent of employers don’t have a wellbeing budget in place, and only 8 per cent of firms invest more than £126 per employee each year in health and wellbeing. 

To read the full research, visit Personnel Today here

Towards Data Science: 5 unique skills every Data Scientist should know


We know that career tip articles for Data Scientists can all feel pretty ‘samey’. But this article in Towards Data Science mixes up the usual advice, looking at how those in, or aiming to be in, the industry need to brush-up on their softer skills if they are to be successful. 

Tips include:

  • Cutting down the jargon in order to communicate effectively with stakeholders.
  • Don’t be hasty to overpromise, or you’re at risk of seriously under-delivering.
  • Become friendly with your team’s software engineer, they’ll only be able to help you be more efficient and effective in your role. 

Of course, there has to be some mention of coding in there – it wouldn’t be a data-based article without it.

  • Make sure you’re mastering your SQL Optimisation.
  • Don’t leave your Git out in the cold, become familiar with the practice to ensure you can update your model code quickly. 

To read the full article, click here

Analytics India Mag: What SMBs can learn from Big Tech’s AI playbook?


AI has come on leaps and bounds in a short space of time, and its popularity has boomed. For the monster-sized companies, where budget is of no question and innovation can happen overnight if need be - embracing AI has been a total no-brainer. Workflows become more efficient, technology becomes smarter, and the scope of growth seems infinite. 

However, despite all the benefits of AI that are so regularly shouted about, it’s been clear since the birth of the technology that there’s a huge divide in those who can and those who cannot afford to implement this innovation. 

Up until now. 

In this piece from Analytics India Mag, author Ritka Sagar, highlights how SMEs are finally finding ways to become ‘inventive’ with how they implement and use AI systems without breaking the bank. 

To read how SMEs are managing this, click here.

Silicon Republic: For smart cities to work, they need to be neutral and objective


The concept of a smart city seems like something out of a futuristic, sci-fi film but, in fact, they are closer to becoming a reality than we may think. 

The idea being that urban areas use sensors and other electronic methods to collect data. From citizens to traffic, water supply networks to crime detection, all of these assets of life, and more, are monitored, data collected, and insights given to make ‘life’ more efficient. 

On the surface, it’s all very cool, but there are, of course, worries that come with it. In this Silicon Republic article, Computer Scientist, Larissa Suzuki, discusses the importance of ‘neutral and objective’ smart cities if they are to work. 

She says; “Data and services in smart cities must be neutral and objective when reporting information about the city environment. They should encompass the entire population and respect data licences, regulation and privacy laws,” she said.

In a similar fashion, the digital services and the backbone technology – including algorithms – should be free from any ideology or influence in their conception, operation, integration and dissemination.

To read more on the future of smart cities, visit Silicon Republic here.

We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.     

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Weekly News Digest: 14th - 18th June 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. Gov.uk: Five signs of a good data quality culture Particularly post-pandemic, we all want to know that our data is fit for purpose. In this article from the Government Data Quality Hub, they look at five ways to ensure that your data's quality is right for your's and your users’ needs. This includes: Everyone is involvedData quality is a commitment, not a taskYou know what works for your organisationYou know why quality mattersYou are proactive not reactive We know that committing to a good data quality culture is a continual process. This core advice allows us to take a step back and think about how you can understand your unique challenges and involve the right people, so you can prevent bad quality data before it damages your work. See more on this here. Analytics Insight: 5 types of artificial intelligence that will shape 2021 and beyond We really like this article from Analytics Insight that explores the future of technology, and specifically the rise in uses of artificial intelligence (AI). AI is often seen to be disruptive as there is an assumption that robots could take over and jobs are wiped out, but it’s more likely that humans and machines will work together to streamline processes across a range of industries. The different types of AI to keep an eye on include: Customised technology providerChoosy algorithmHuman-machine interactionReciprocating machinesTheory of mind We’re always excited to learn more about new technologies, click here to read more on this. KD Nuggets: Five types of thinking for a high performing data scientist In this piece KD Nuggets look at how the way our approach to problem-solving may be guided by your personal skills or the type of problem at hand. As a Data Scientist, appreciating different approaches can help you more effectively model data in the business world and communicate your results to the decision-makers. Whether this is model thinking, systems thinking, agent-based thinking, behavioural thinking, or computational thinking, taking the time to understand your approach will significantly help the way you complete the function of your role. To read the full article, see here.  TechRepublic: These 220+ courses will help you master tech skills and prep for IT certification exams We know that there is a digital skills gap. According to Boston Consulting Group, there will be tens of millions of job vacancies by 2030 that will be hard to fill because not enough workers have the required skills, many of which are in technology. One of the best ways to upgrade your skillset is to complete extra training and qualifications to ensure you’re always learning more about your market and providing yourself with the best opportunities to achieve your next career step. ITU Online has over 200 courses covering cloud deployment, cybersecurity and more. Of course, this isn’t the only way in which you can level up your skills, but it’s a good place to start! To read more about this, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.    

How Will Embracing Flexible Working Help The Life Science Sector To Grow?

COVID-19 has drastically changed ways of working in the Life Science industry. Overnight, teams moved online, while new research had to be prioritised. Life Sciences were already moving towards more remote working, and the pandemic has only quickened this shift. There is no doubt these changes have fundamentally changed the Life Science sector and how professionals working in this space operate post-pandemic.  However, uncertainty still remains about the viability of remote working for the sector and there is a divide between those able to work remotely and those who need to go into ‘wet labs’. Is remote working a step too far for Life Sciences? Collaboration  2020 saw an increase in collaboration between professionals working across different areas of Life Sciences. Interestingly, organisations who may usually compete came together to share data and work towards a shared goal. Collaboration is essential in Life Sciences, yet for many, remote working reduces spontaneous teamwork and creativity.  New flexible lab spaces may be the future for Life Sciences though. RUNLABS have recently opened their first fully equipped flexible lab space in Paris for scientists and companies working in Life Sciences. This space hopes to builds on the existing collaborative approach in the industry and encourage further cooperative innovation. Efficiency  Many employees noticed a spike in employee efficiency when working remotely. By eliminating commutes and increasing flexibility, employees were able to be more productive with their time. Remote working also allowed organisations to streamline processes and reduce time spent in meetings.  However, insight from McKinsey highlights that research and development leaders estimate productivity has fallen by between 25 and 75 per cent due to remote working. Those in pharma manufacturing have reported lower levels off efficiency, as well as the potential for lower-quality outputs.  Research The pandemic forced remote trails to become a necessity, and since then, they have increased in popularity. While face-to-face research is still preferrable, remote trials can reduce costs and improve efficiencies. Indeed, on-site monitoring accounts for a significant portion of the costs of bringing a new product to market, yet this is no longer necessary in remote trials.   Not only are remote trials more cost-effective, but they can open research to a wider range of patients and can increase the communication between trial participants. Diversity Flexible working can run a risk to diversity and inclusion though. McKinsey also notes that, ‘when faced with a crisis, leaders often revert to relying on the core team of people they already know and trust. This disproportionately affects women and minorities because they are often not part of that group. Differences in perceptions and experiences of inclusion results in individuals or communities being disenfranchised, which can be devastating to careers and create a two-tiered culture.’ We know that 27 per cent of D&I leaders say their organisation have put all or most of their initiatives that embrace diversity and inclusion on hold because of the pandemic. However, remote work unlocks new hire pools and opens up the workplace to a more diverse workforce. Workers are no longer restricted by their geographical location or personal circumstances. Flexible working is an opportunity for Life Science organisations to harness a wider talent pool and increase their diversity. There is no doubt that Life Science is one of the most cutting-edge sectors globally and the pandemic has only cemented this. COVID-19 has shown the potential for remote working in life sciences, and in-person health care professional access may never return to pre-lockdown levels. But, going forward life sciences need to remember remote working is not practical for everyone nor every role. Organisations will need to consider individual wellbeing and role efficiency as they decide their next step.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

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