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.
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.
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. Silicon republic: 5 things you need to know about Facebook’s new audio features There have been murmurs for a while now that Facebook was planning to launch a new range of audio features to enhance the experience for users of the platform. This move has now been confirmed, most likely as a result of the stiff competition Facebook has come up against from tools such as Zoom, Teams and more recently, Clubhouse. There are a whole host of established tech platforms that are already embracing (and continue to embrace) more audio solutions, thereby contributing to a more accessible, interactive and inclusive experience for users. So, for Facebook, the planned additions over the coming months include: There will be audio-creation toolsYou’ll be able to make SoundbitesPodcasts are coming to the appYou’ll get to listen to live conversationsUsers can make money through Facebook audio Read the full story here. International Banker: How the financial industry is using natural language processing The financial industry is beginning to lean into using natural language processing (NLP). Why? Well, firms across the finance market are increasingly relying on data and information to obtain a marginal edge, and the benefits that NLP presents cannot be underestimated. In this article from International Banker, Alexander Jones discusses how, “Whether for efficiency and accuracy gains in the compliance and back-office divisions or opportunities to explore new, untapped sources of alpha for fund managers, the powerful capabilities of NLP look set to help transform the finance industry permanently.” According to a research report from Quince Market Insights, the global NLP market was valued at US$9.2 billion in 2019, and with continued growth and advancements in its capability set to increase, it’s a good opportunity for the financial industry to adapt and enhance their own services. To read more on this topic, click here. Marketing Week: The pandemic has forced brands to shift from insight to intelligence Writing for Marketing Week, Andrew Geoghegan, the global head of consumer media planning at Diageo, looks at how the pandemic has forced an overhaul of research tools and approaches, making them quicker, more accessible and more focused on both long- and short-term KPIs. “We need insight at pace but with quality and consistency, and more time for interpretation and implications.” Some of the major points from this interesting article explore the importance of the marketing and insight function within a business to focus on the short term, while anticipating the long term. This involves being ‘agile’ and crafting strategy that allows business leaders to act efficiently with this intelligence. Geoghegan also notes the importance of a two-speed mindset, simple, focused KPIs, information curation, new research processes and future-focused insight teams. To read the full article, visit the website here. ITProPortal: Most business intelligence software isn't getting used Investing in technology and tools with which you can enhance the service your organisation provides, is critical, particularly so over the past year. However, as ITProPortal outlines, businesses are investing large sums of money into Business Intelligence (BI) software, only to have it collect virtual dust on their systems. Research from MHR Analytics states that just four percent of all BI software is being actively used. For a fifth of businesses, more than a quarter of their BI software lies idle. That's despite the collective $7.8 billion spent on data analytics tools by UK businesses. The article continues to discuss how BI gives them a competitive edge, and further research has highlighted that 64 per cent of business leaders use it for that reason. So, why aren’t firms making the most of these tools? Nick Felton, Senior Vice President at MHR Analytics has suggested that this is because “IT leaders need software and implementation partners who understand their needs better, match their exact requirements and are ready to provide the right level of training.” It’s important that decision-makers within the business work side by side with technical staff to ensure that business intelligence tools are used effectively. 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 firstname.lastname@example.org.
23. April 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. Express Pharma: The five biggest data challenges for life sciences Life Sciences has grown exponentially over the past 12 months. As the COVID-19 pandemic devastated the world, Life Science companies were in a race against time to create a life-changing vaccine and help us all back on the road to recovery. In 2019, the Life Science market was valued at around $7.5bn. After this year’s influx of activity, the market is estimated to grow by over double in the next decade, reaching $18bn by 2030. However, despite the positive growth the industry has had, this doesn’t mean Life Sciences will be free of challenges. In fact, with such a spike in the amount of data held by so many Life Science companies as they tried to work on a vaccine, data storage is now one of the main concerns for anyone working within the field. In this article by Express Pharma, Vimal Venkatram, Country Manager for Snowflake India, highlights the five key data hurdles Life Sciences will continue to have to overcome in the following decade. These include data performance, data exchange and collaboration, data quality, data management and scaling, and regulatory compliance. Read the full story here. Harnham: How can organisations tap into the huge pool of neurodiverse data talent? For many companies, the past year has led to an increased focus on diversity and inclusion within businesses – a fantastic step forward. However, when we think of diversity, we usually assume people are talking about gender, ethnicity, sexuality and perhaps even physical disability. One area that is regularly missed from discussion is that of neurodiversity. An umbrella term coined by sociologist, Judy Singer, neurodiversity can cover a wide range of neurological conditions such as dyslexia, autism, ADHD, ADD and dyspraxia. Our head of internal recruitment, Charlie Waterman, explores why neurodiverse talent shouldn’t be overlooked, and how Data & Analytics specifically can do more to tap into and harness this incredible pool of talent.` Exploring how employers can create a smooth recruitment process, successful onboarding programmes and retention schemes, this article highlights how all of this can be tailored to be accessible for anyone with an invisible disability. To read more on this topic, click here. Computer Weekly: What has a year of homeworking meant for the DPO? Employers in a significant number of industries across the world have had to uproot from the office to working from home because of the COVID-19 pandemic. For many of these employers, it appears that remote working, or a hybrid model of working, will become the norm post-pandemic. But what has this sudden shift meant for the likes of Data Protection Officers (DPOs)? Most of these professionals have had to get to grips with managing and handling sensitive data from the comfort of their own living room. According to data from IBM, 70 per cent of DPOs believe that the shift to remote working will increase the likelihood of data breaches. So how can DPOs enjoy the benefits and perks of working from home, without the stress of poorly managed or breached data? In this article by Computer Weekly, steps are outlined on how DPOs can work closely with IT teams to minimise any data risk that could happen. This includes: Not allowing DPOs access to everything if it’s not necessaryDiscouraging local storage of dataRegularly reviewing security standards To read the full article, visit the website here. Solutions Review: The three best Data Engineering books on our reading lists There’s no better feeling than getting stuck into a really good book. Not only can it be a great way to escape the stresses of everyday life, but by continuously absorbing new information, your knowledge on a specific subject can grow immensely. Any branch of Data & Analytics, but especially Data Engineering, requires employees to always be thinking one step ahead, staying on top of new trends and keeping up to date with specific coding languages. While everyone learns in very different ways, reading is a brilliant education tool. Whether you’re a visual learner, an auditory learner or a reading learner, books and audiobooks could be the key to expanding your knowledge. Solutions Review provides Data Engineers with three of the best books on the market at the moment to help you keep on top of your professional development. Data Driven Science and Engineering by Brunton and KutzData Engineering with Python by Crickard An introduction to agile Data Engineering by using data vault 2.0 by Graziano To read more about each of these books, 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 email@example.com.
16. April 2021
Ensuring that our workplaces are thriving with a diverse range of talent is, rightly, a topic that many organisations are focussing on. Yet, for the most part, this dialogue is centred around gender, ethnicity, sexuality and perhaps even physical disability. It is fairly uncommon therefore to see close attention given to exploring the challenges surrounding neurodiversity in organisations around the globe. Generally speaking, the term neurodiversity encompasses autism, attention deficit disorders, dyslexia, dyscalculia, dyspraxia and other neurological conditions. To hear a range of diverse viewpoints and perspectives is to contribute to an inclusive society and organisation. Leaving neurodiversity aside is no longer acceptable. Our research in the US highlights how 26 per cent of US adults have some form of disability, yet disabled individuals only account for 3.5 per cent of those working in Data & Analytics. As the global skills shortage worsens, it stands to reason that businesses will want to access this previously untapped talent pool. We know that in the UK, 56 per cent of organisations continue to experience skills shortages and in the US, two-thirds of employers hiring for full-time, permanent employees say they can’t find qualified talent to fill open jobs. An often-overlooked area of diversity is the impact a disability can have on an individual’s professional career. It’s no secret that all organisations would like to construct the best team – but are you doing enough to consider underrepresented talent? Creating a smooth recruitment and interview process One of the first barriers that neurodiverse candidates may encounter when seeking to enter an organisation is the recruitment and interview process. For these individuals, undergoing testing in this way puts pressure on communication skills, a tool that often allows us to better understand, connect and empathise with one another. When it comes to the recruitment process, the traditional in-person interview process — which assesses communication skills and personality fit — can be difficult to negotiate for neurodiverse candidates. In fact, this can be said to have been heightened by the pandemic too. The switch to virtual interviewing has added a new challenge to how neurodiverse candidates are able to participate in the process as miscommunication and interruptions come into the picture. For employers, tapping into the pool of data professionals with these invisible disabilities requires them to take the stress out of the interview and assessment process. It is critical to consider someone’s potential ability to do the job and the core skills that they have linking directly to the role on offer. Onboard a successful neurodiverse candidate efficiently Regardless of the size of an organisation, from global corporation to growing SME, they all share the same need to onboard new hires successfully and with limited disruption. It is this process that begins the relationship between an employee and an employer and although there will have been interactions through the recruitment process, it is the initial welcome into the organisation that will set the tone for the relationship moving forward. For neurodiverse employees this can be a daunting prospect; meeting new people while also familiarising themselves with a new environment and routine requires ongoing support and help from the employer. There are a number of ways that organisations can make this easier, from in-person or virtual meetings with smaller groups of the team to scheduled one-to-one chats with colleagues, the first few steps can be made more comfortable by promoting an inclusive culture. However, as there are such wide-ranging differences between neurodiverse conditions and individual requirements, employers need to implement policies that are tailored and highly individualised. Creating such policies and programmes can be complex and time-consuming, but it is critical to include your team in this. Ultimately it will boost your bottom line and the array of perspectives and views that are shared within the organisation. Retaining neurodiverse employees Neurodiverse candidates are capable, intelligent and have creative-thinking minds. To ensure their tenure within an organisation is lengthy and successful, we need to support these professionals and equip them with the tools and support they need to thrive. A standardised approach will not satisfy every need, and so it is important that every person in your organisation is accommodated as far as possible. The importance of this could not be clearer, as the BIMA Tech Inclusion & Diversity Report details how neurodivergent employees are more likely to be impacted by poor mental health (84 per cent against 49 per cent for neurotypical workers). This suggests that beyond attracting neurodiverse talent into the organisation, employers need to focus on the quality of the experience within the team. For example, take the time to book in regular meetings between the employee and their line manager. This will ensure that projects run smoothly, and any concerns or questions can be raised in a controlled environment. Listen to your team and their lived experiences to make informed and accurate plans to facilitate their growth within the team. After all, each employee brings a set of unique skills to a company. As more organisations realise the benefits of hiring neurodivergent candidates into their teams, employers have to act quickly to make routes into the business as accessible as possible. Ultimately, hiring neurodiverse people makes complete business sense. We know that diverse teams perform better, so now is the time to step up and tap into the huge pool of neurodiverse data talent. 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.
15. April 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: How data visualisation turns marketing metrics into business intelligence Gathering data is just one part of a marketer’s job but having the ability to turn this data into something visually stunning, informative and easy to use is another skill completely. Marketers, on the whole, are extremely visual learners along with around 65 per cent of the population. Most of us are able to absorb data more effectively if the information being presented to us is done in such a way that is pleasing to the eye. And this is why Data Visualisation exists; it allows us to group, organise and represent data sets in a way that allows us to analyse larger quantities of information, compare findings, spot patterns and extract meaningful insights from raw data. Not only does Data Visualisation allow us to learn more effectively, but we can then turn this understanding into much broader and deeper Business Intelligence. To read more on the positives of Data Visualisation and how to translate this into meaningful Business Intelligence, click here. ZDNet: The five Vs of customer data platforms According to ZDNet, Customer Data Platforms (CDPs) are the hottest marketing technology today, offering companies a way to capture, unify, activate, and analyse customer data. Research done in 2020 by Salesforce showed that CDPs were among the highest priority investments for CMOs in 2021. If you’re planning to invest in a CDP this year, what five critical things do you need to think about when developing a successful strategy? ZDNet tells all. Velocity - Your systems need to manage a high volume of data, coming in at various speeds.Variety - Every system has a slightly different main identifier or "source of truth," and the goal is to have one. This starts with being able to provision a universal information model, or schema, which can organize all of the differently labelled data into a common taxonomy. Veracity - Companies must ensure they can provision a single, persistent profile for every customer or account.Volume - It has been theorized that, in 2020, 1.7MB of data was created every second for every person on Earth. If you want to use those interactions to form the basis of your digital engagement strategy, you have to store them somewhere. Value - Once you have a clean, unified set of scaled data – now’s the time to think about how to derive value from it. To learn more, read the full article here. Towards Data Science: How to Prepare for Business Case Interview Questions as a Data Scientist When you think of Data Science, the first thing that comes to mind will be technical knowledge of coding languages and fantastic statistical ability; softer skills such as communication and exceptional business knowledge may be overlooked. However, this is where many budding Data Scientists trip up. It is these softer skills and business acumen that sets brilliant candidates apart from others. But how, when not usually taught at university, do you gather the business knowledge that will set you apart from the competition and showcase it in interview? Towards Data Science shares a few key pointers. Build a foundation – Brush up on your business basics. Research project management methodologies, organisational roles, tools, tech and metrics - all are crucial here. Company specifics – Research your company and its staff. Make sure your knowledge is tailored to the company you’re interviewing for. Products – This is where you’ll stand out above the rest if you get it right. The more you can know the ins and outs of products and metrics at the company, the more prepared you will be to answer business case questions. Read the full article here. Harnham: Amped up Analytics: Google Analytics 4 Joshua Poore, one of our Senior Managers based in the US West division of Harnham, explores Google’s new and improved data insight capabilities, predominantly across consumer behaviours and preferences. This exciting new feature of Google was born in the last quarter of 2020 and has now fully come into its infancy, and it’s an exciting time for Data & Analytics specialists across the globe. Joshua explores four key advantages of Google Analytics 4.0. Combined data and reporting - Rather than focusing on one property (web or app) at a time, this platform allows marketers to track a customer’s journey more holistically. A focus on anonymised data - By crafting a unified user journey centred around machine learning to fill in any gaps, marketers and businesses have a way to get the information they need without diving into personal data issues.Predictive metrics - Using Machine Learning to predict future transactions is a game changer for the platform. These predictive metrics for e-commerce sites on Google properties allow for targeted ads to visitors who seem most likely to make a purchase within one week of visiting the site. Machine Learning driven insights - GA4 explains it “has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms.” Machine Learning-driven insights include details that elude human analysts. To read Joshua’s full insights on GA4, 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 firstname.lastname@example.org.
09. April 2021