2018 Top Five Data & Analytics News Stories

Joshua Carter our consultant managing the role
Posting date: 12/20/2018 9:13 AM
2018 has seen Big Data & Analytics come to the forefront on the public’s attention like never before. A series of scandals, new laws, and technological developments have opened up fresh conversations about who has access to our data, and what privacy really means in the 21st Century. 

In a year with a lot of news, it’s no surprise that some of the biggest stories have had a major impact on the Data & Analytics marketplace. As 2018 comes to a close, we’ve pulled together five of the biggest stories that have not only had a huge impact this year, but will continue to have repercussions in 2019 and beyond. 

#5. Apple Become the World’s First $1 Trillion Company


At the beginning of August, Apple became the first company to be valued at $1 Trillion. A result of the launch of their premium iPhone X, they beat rivals Microsoft, Amazon and Alphabet to the milestone. Initial fears that the death of Steve Jobs in 2011 would stall the company’s growth proved to be unfounded, highlighting that product and brand still play the largest role in consumer loyalty. 

This achievement has raised the bar for what a tech company can achieve, and expect to see numerous others attempting to reach this level over the next decade. For an idea of what they’ll have to achieve, however, take a look at the New York Times’ visualisation of what a $1 Trillion value really means. 

#4. Google Walk Out Over Women’s Rights


Following the #MeToo movement coming to precedence in 2017, businesses are now being properly scrutinised for their treatment of women. From the gender pay gap, to cases of sexual harassment, people are demanding transparency and accountability. Within Data & Analytics, the protests at Google were the leading example. 

Allegations surrounding the company’s handling of claims of sexual misconduct led to staff around the world walking out. Looking for several key changes, in particular the end of forced arbitration, employees highlighted Google’s key mission statement of ‘Don’t Be Evil’. 

Diversity and equality will continue to take centre stage in the years to come, with smaller businesses likely to face similar amounts of scrutiny. We’ll be releasing our report on the state of Diversity in Data & Analytics in early 2019, so come back soon to get your copy.  

#3. The Crypto Crash


Having peaked at $19,783.06 in December ’17, 2018 saw Bitcoin, and numerous other cryptocurrencies, finally crash. Whilst this had been predicted for a while, it looks as though it may take some time for any of the currencies to gather any new momentum and regain stability. 

Tough new restrictions in China, one of the biggest countries for crypto, as well as ICO Ad bans on Twitter, Facebook and Instagram will limit the number of new and returning buyers. Furthermore, initial moves into the mainstream, such as Barclay’s crypto trading project, appear to have stalled. In contrast to the past few years, the future of crypto is no longer looking so bright. 

#2. GDPR Comes Into Play


Anyone who works with any form of data couldn’t miss the introduction of GDPR, as it became enforced in April this year. A complete rewrite of the rules for data protection, we’re only beginning to see its true impact, as the first UK enforcement finally arrives. 

Many industries are already feeling a more specific impact, however. In particular, those working in Ad Tech have found the new regulations to be frustratingly limiting to their capabilities. Despite these issues, this is far from the end of GDPR, as both the US and India look to introduce similar regulations in the not-too-distant future. 

#1. THE CAMBRIDGE ANALYTICA SCANDAL


The biggest Data & Analytics story of the year is, undoubtedly, the Cambridge Analytica scandal. A watershed moment in the public’s perception of how their data is used, concern grew from privacy issues to potential large-scale election rigging. The resulting chaos has seen an immense amount of pressure on Facebook and, in particular, Mark Zuckerberg, who has been called in front of numerous governments.

Whilst the outcomes don’t appear to have ultimately been too dire for Facebook as a business, the consequences of the scandal will continue to be felt for a long time to come.  Data breaches now regularly make headline news and the way we scrutinise how companies use our data is forever changed. 

If you’re looking to make a big impact in 2019 and beyond, we may have a role for you. Check out our latest roles or get in touch with one of our specialist consultants. 

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

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

Our Top Five Tips For Your Data Scientist Interview

Our Top Five Tips For Your Data Scientist Interview

The role of Data Scientist is one of the most in-demand jobs in the tech world now. But, given that it is still a relatively new job, in a relatively new field, a lot of companies are still struggling to source enough quality candidates for their team. Despite the demand, tech companies are very specific about the candidates they’d like to hire. Passing a Data Science interview can be very tricky, especially considering that businesses are looking for the right technical knowledge, business sense, and culture fit.  With this in mind, here are five key tips for the Data Science interviewing process. By making sure you are prepared for the below, you’ll be able to ensure that you don’t sell yourself short. Have A Concise Overview Of Your Project Experience It’s imperative you prepare an overview of your successful Data Science projects. Hiring Managers aren’t interested in getting into every detail of your completed projects, but they do want to know that you have the right experience. Focus on key factors, highlighting the types of projects you’ve been working on and the successes you had as a result of those projects. Keep your achievements clear and concise. Show Your Communication Skills A good Data Scientist is more than just a good programmer. You need to be able to show that you can translate your findings into insights that can be understood by non-technical people in the business. During your interview, Hiring Managers may test your ability to step away from role-specific language. This is to asses whether you know how to engage with non-technical colleagues and parts of the business who may not understand the value of Data Science to the company. Bring Out Your USPs Companies will potentially be interviewing several candidates for a specific role, so it’s important that you are able to stand out. Consider what you have achieved that your fellow interviewees may not have. One good way to stand out is to have articles published on popular Data Science websites/blogs. From my experience, Hiring Managers see this as a big plus and it makes for a great talking point during the interview process. If you are looking to do this, you should always choose a unique topic and not something that is already explored a lot by others. On a similar note, you could highlight the Data Science projects you’ve achieved outside of work through platforms such as Kaggle.Know Your Computer Science Fundamentals Having a decent knowledge of Computer Science fundamentals, like algorithms is essential, especially if you are interviewing with tech companies. Whilst there are other elements to the role, you can expect questions related to programming, so for a Junior Data Scientist, I’d recommend practicing coding for a few days before your interview (if you are not doing this already in your day to day job). Have An Understanding Of How You’ll Fit In At The Company For some Tech companies, particularly start-ups, cultural fit is just as important, if not more so, than how good you are at coding. They’ll want to understand how you would react to different scenarios at work and whether or not you share the values of their company. For this reason, don’t be surprised to see a few team members join the interview as they look to see how you’ll fit in. Make sure you take a look at the company’s website, read their blogs and articles, and check their social media feeds in advance so that you have a good understanding of what the business is like. Remember, culture is a two-way fit so it’s about making sure the business is right for you, as much as it is right for them. The interviewing process can be tricky but, at Harnham, our expert consultants are here to support you through the entire recruitment process. We will always make sure you are prepared for your interview and will run you though the topics you can expect to come up. If you’re looking to take the next step in your Data & Analytics career, take a look at our latest opportunities or get in touch with one of our expert consultants to learn more. 

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