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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

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. 

Weekly News Digest: 1st - 4th 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.      Computer Weekly: Why a cloud operating model matters Consulting firm Contino has said that, “successful cloud adoption requires organisations to go beyond tools and techniques to map out a cloud operating model”. Within this article from Computer Weekly, this idea is explored as greater emphasis is placed on the need for organisations to change the way they work to reap the full benefits of cloud technology. When looking to adopt a cloud operating model, companies should look to think about the cloud as a product, that serves a business need, and then align the team structures and relevant accountabilities accordingly. It’s a serious commitment – so reshuffling the team to make the best of the tech is critical. See more on bringing cloud tech into your business here. DevOps Online: Artificial Intelligence to play a more important role within DevOps We’re incredibly excited by this new research from GitLab, that has found out that Artificial Intelligence (AI) and Machine Learning (ML) are starting to play an important role within DevOps. Some of the top points from the study were: 84 per cent of developers and managers stating they’re releasing code faster than before and 57 per cent declared that code is being released twice as fast.12 per cent of respondents said that adding a DevOps platform has sped up the process, and 10 per cent said the same about adding automated testing.75 per cent of enterprises are using AI/ML to test and review their code before release, while 25 per cent use full test automation. The survey showcased that developers’ roles are shifting toward the operations side as they are focusing more on test and ops tasks, especially around cloud, infrastructure, and security.DevOps is an incredibly dynamic market, and one that we’re building our networks in, so we’ll be sure to keep an eye on how this develops. To read more on this topic, click here. Forbes: The five ways to build Machine Learning models Machine learning (ML) is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications. This insightful article from Forbes explores the five ways in which ML models can be built up: Machine Learning toolkitsMachine Learning PlatformsAnalytics SolutionsData Science NotebooksCloud-native Machine Learning as a Service (MLaaS) offerings. Knowing what different options are available and that there is no one-size-fits-all for ML will help businesses to make better decisions. To read the full article, see here.  CMI: How to become fluent in diversity and inclusion: keep practising In this interesting interview, CMI Companions talks about how leaders can move from othering and executive-level disinterest to action and organisational survival. The core questions that came up from this discussion covered: So why are we still seeing a lack of diversity in so many organisations?How can leaders and organisations move from seeing diversity as a challenge to seeing it as central to performance and survival?What can you do to become a leader who’s fluent and effective when it comes to diversity and inclusion? Through the panel discussion, the leaders explored creating inclusivity in a virtual environment, focusing on retention, promotion and growth and making diversity and inclusion a priority within the business. 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.    

Weekly News Digest: 24th - 28th May 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.     The Drum: 10 benefits of programmatic advertising to add to your marketing mix  The world of programmatic advertising is one that eludes many. In between the technical jargon and acronyms, it can be hard to get to grips with not only how it works but how it can really benefit your business.  Within this article for The Drum, Grace Johnson, media buyer for S3 Advertising, breaks down the top 10 positives of programmatic advertising for media and marketing into bitesize, digestible chunks. Here are just a couple of examples: Programmatic reach is huge “I don’t want to reach as much of my target audience as possible,” said no one ever. We’re all agreed that the most efficient forms of advertising reach their desired audience at scale. Programmatic advertising allows us to do just that.  You can show off your brand using funky formats Long gone are the days where click-focused banner ads were the only formats associated with programmatic. These days, brands can engage their audience with highly interactive digital creative units, drive them to store using in-built maps, or simply wow them with a beautifully-designed web takeover format, which – yes, you guessed it – can be bought and served on an individual user basis in real-time. To read all of Grace’s tips, click here.  Dice: Top 6 programming languages for Developers and Engineers There’s never been a better time to consider a role in Data & Analytics, more specifically in the Development or Engineering arms. As mentioned by Dice, a year on from the pandemic, the average rate of unemployment sat at 6 per cent however, the IT sector sat well below this at only 2.4 per cent.  But of course, this leads to an extremely competitive market where only the most knowledgeable and/or most motivated will make the cut for employers looking for work-ready talent.  So, what are the key languages that aspiring Engineering or Development specialists need to be clued up on to clinch that dream role? Looking at survey results from Burning Glass, Dice reports that the most desirable coding language is Java, followed closely by SQL. These are then succeeded by JavaScript, Python, Microsoft C# and C++.    Of course, these aren’t the only skills employers seek from Engineers or Developers. Development principles are key, as well as softer skills such as teamwork and communication.  To read more on this from Dice, click here.   Tech Explore: Twitter data reveals rhythms of people’s moods It’s not new news that our moods are very much dependent on our internal processes, namely our circadian rhythms. If we’re tired or hungry, we’re more likely to be irritable or low compared to when we are well-rested or satisfied.  However, two researchers from Switzerland believed that we don’t have to look as deep as people’s bodily functions or chemical balances to reveal the cyclical nature of human mood instead, we could turn to their Twitter posts.  After obtaining 25 million self-referencing tweets from people in the US, posts including ‘I want to do this’ or ‘I don’t want to do this’, the researchers found patterns.  To find out what they learned, click here.  KDNuggets: Top Data and Analytic Trends for 2021 We’re nearly halfway through the year and we’re about to enter another big change as the UK begins its route out of lockdown restrictions. As we head into this new phase, Data & Analytics experts have been exploring what the latter half of 2021 will hold for the industry. Key notions include: Edge Data & Analytics will become mainstreamThe cloud remains a constantData Engineering will become more relevant for sustainable Machine Learning initiativesResponsible AI will be keyIncreased personalisation will make the customer kingData Management processes will become further augmented The effects of the COVID-19 pandemic will undoubtedly have long-lasting consequences on all industries, and as we continue this ever-increasingly virtual world, it will be no different for Data & Analytics.  To read the full article, 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.     

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