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Harnham is one of the world’s leading  providers of recruitment services and advice  to the Data and Analytics marketplace 

We support global corporations through to ambitious local start-ups, so whether you need a Credit Risk Manager in London, a Data Scientist in New York, or a Head of Analytics in Frankfurt we can help you achieve your business goals.

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

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Opportunity Knocks: Media Trading Desks Move In-House

It’s anticipated that by 2022, 80% of the advertising process will be automated. With the remainder of the process made up of elements that rely on human drivers, such as brand value and storytelling, we will have reached peak automation. Programmatic is playing a huge role in this transition, dominating the majority of mobile display and TV advertising. With the promise of more targeted ads, more and more marketers are pointing their budgets in this direction. The consequences of this, however, could have a lasting impact. Larger agencies are already introducing their own Programmatic teams, whilst Adobe believe that 62% brands will bring their media buying in-house by 2022, opening the door for an array of new opportunities. Moving Home There are several reasons that brands are choosing to bring their media buying in-house. First and foremost, with more and more budget directed towards Programmatic, the ability to automate their buying has a significant appeal. With the technology now available to do so, keeping this in-house has a number of benefits: Control: Brands can have greater control over how they spend their budget, giving them more autonomy over every stage of the process. Transparency: By owning their media buying, brands can gauge a better understanding of their ROI. Engagement: Customers continuously move from channel to channel. Keeping buying in-house helps brands keep up. Leverage: Brands can leverage their first-party data to create and execute in-house strategies. The last of these is particularly important. Following the introduction of GDPR, brands are under a significant amount of scrutiny regarding how they use customer data. By keeping this in-house, brands can have more control over how their data is both stored and used, without sharing it with third parties. Making the Investment Naturally, this change to the advertising landscape is already having implications across the wider industry. Sir Martin Sorrell, formerly of WPP, believes that brands moving in-house will be a “short lived trend” brought on by a reaction to “serious economic conditions”. However, this may not necessarily be the case. In addition to the benefits listed above, the significant investment required to move Programmatic in-house means that brands are likely to look to this as a longer-term solution.This not only involves investment in a DMP and the right technology but, more crucially, in building the right team. Without this team, any in-house venture is unlikely to succeed, regardless of technological investment. On Your Doorstep The good news is that this provides several new opportunities for Digital Analytics professionals. With 39% of Marketing Executives believing that a skills shortage is responsible for holding back Programmatic growth, there is a huge demand for the right talent, both permanent and contract. And, with this skills shortage, there is opportunity for Web and Marketing Analysts to expand their skillsets and move into the position of Media or Audience Analyst. By upskilling in media trading platforms such as AppNexus and DoubleClick, digital analysts can further enhance their expertise. When combined with the ability to visualise using Python or R they find themselves well positioned for some of the most in-demand roles around. If you’re looking for the opportunity to play an instrumental role in growing an in-house team, we may have a role for you. Take a look at our latest jobs, or get in touch by calling us on +44 20 8408 6070 or emailing info@harnham.com. This article was originally written for London MeasureCamp in September 2018. 

From Idea to Impact: How Charities Use Data

It’s that time of year again. As the festive season draws near and we pull together wish lists, many of us also begin to think about how we can give back. Given that the UK spent over £7 billion this Black Friday and Cyber Monday weekend, it’s not surprising that the idea of Giving Tuesday is becoming more and more popular.  But with 160,000 registered charities in the UK alone, institutions are turning to data to find new ways to stand out and make a greater impact.  Far from just running quarterly reports, charities are now utilising the insights they gain from data to inform their strategies, improve their services and plan for the future.  IDEAS Given that not every charity is lucky enough to go viral with an Ice Bucket Challenge style video, there is a need to find other ways to stand out in such a crowded market. As such, many are looking to the data they have collected to help create a strategy. Macmillan Cancer Support, one the UK’s biggest charities, wanted to see more success from one of their main fundraisers, ‘The World’s Biggest Coffee Morning’. The event, which sees volunteers hold coffee and cake-fuelled gatherings across the country was revolutionised by data. By engaging with their database and researching what motivated fundraisers, they refocused their marketing around how the occasion could create an opportunity for people to meet up and chat, such as swapping ‘send for your free fundraising pack’ for ‘order your free coffee morning kit’. Whilst these amends may seem superficial, they had a major impact increasing funds raised from £15m to £20m.  Some brands have taken this idea even further, using Data & Analytics tools to engage with potential donors. Homelessness charity Cyrenians’ data told them that there were a number of misconceptions about rough sleepers, including 15% of people believing that they were homeless by choice. To counter this they created an AI chatbot, named Alex, that allowed users to ask questions they may not have been comfortable asking a real person.  Another charity using data tools to counter common misconceptions is Dyslexia Association. Their Moment of Dyslexia campaign saw them utilise facial recognition technology; the longer a person looked at their digital poster, the more jumbled up the words and letters became. By harnessing both insights and the technology made possible by data, they were able to offer an insight into what dyslexia is like for people who previously didn’t understand.  INDIVIDUALS A big issue facing a number of charities is trust. Following a series of recent scandals, the public are more sceptical than ever of how charities are run, and their use of data is no exception. This ‘trust deficit’ has resulted in vast amount of potential donors staying away, with recent research highlighting that only 11% of people are willing to share their data with a charity, even if it means a better service.  Whilst charities with effective Data Governance are able to use their vast amount of data to enhance those business, those who mismanage it are likely to suffer. Following a cyber-attack that exposed the data of over 400,000 donors, the British and Foreign Bible Society were fined £100,000. As hackers were able to enter the network by exploiting a weak password, this serves as a timely reminder that our data needs not only to be clean, but secure.  Financial implications aside, improper data usage can also do irreversible damage to a charity’s reputation. St Mungo’s has faced criticism for passing information about migrant homeless people to the Home Office, putting them at risk of deportation. Whilst they were cleared of any wrongdoing by the ICO, this controversial use of data has had a negative impact on the charity’s image. With a decline in the number of people donating to charity overall, anything that can put people off further is bad news.  IMPACT Whilst there is more demand than ever for charities to share their impact data, there is also more opportunity. With Lord Gus O’Donnell urging charities to make data an ‘organisation-wide priority’, many are going beyond publishing annual reports and fully embracing a culture shift. Youth charity Keyfund have been able to justify how the spend their funds based on their impact data. Having heard concerns from fundraisers regarding whether their leisure projects were effective they looked at the data they had gathered from the 6,000 young people they were helping. What they found was that not only were their leisure projects effective, they had an even more positive impact than their alternatives, particularly for those from the most deprived area. This allowed them to continue to support these programs and even increase funding where necessary. Going one step further are Street League, a charity that use sports programmes to tackle youth unemployment. Rather than share their impact data in quarterly, or even annual, reports they moved to real-time reporting. Interested parties can visit an ‘Online Impact Dashboard’ and see up-to-the-minute data about how the charity’s work is impacting the lives of the people it is trying to help. This not only allows for the most relevant data to be used strategically, but also supports the business holistically, gaining donor both attention and trust. To stand out in the charity sector institutions need to take advantage of data. Not only can this be used to generate campaigns and streamline services but, when used securely and transparently, it can help rebuild trust and offer a competitive edge.  If you want to make the world a better place by harnessing and analysing data, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to see how we can help you. 

Fighting Crime with Data: An Ethical Dilemma

Can you be guilty of a crime you’ve yet to commit? That’s the premise of Steven Spielberg’s 2002 sci-fi thriller ‘Minority Report’. But could it actually be closer to reality than you think.   As technology has advanced, law enforcement has had to adapt. With criminals utilising increasingly sophisticated methods to achieve their goals, our police forces have had to continuously evolve their approach in order to keep up.   New digital advances have refined crime-solving techniques to the point where they can even predict the likelihood of a specific crime occurring. But with our personal data at stake, where do we draw the line between privacy and public safety?  Caught on Camera   The digital transformation has led to many breakthroughs over the past few decades, originating with fingerprint analysis, through to the advanced Machine Learning models now used to tackle Fraud and analyse Credit Risk.   With an estimated one camera per every 14 individuals in the UK, CCTV coverage is particularly dense. And, with the introduction of AI technologies, their use in solving crimes is likely to increase even further.   IC Realtime’s Ella uses Computer Vision to analyse what is happening within a video. With the ability to recognise thousands of natural language queries, Ella can let users search footage for exactly what they’re after; from specific vehicles, to clothes of a certain colour. With only the quality of CCTV cameras holding it back, we’re likely to see technology like this become mainstream in the near future.   Some more widespread technologies, however, are already playing their part in solving crimes. Detectives are currently seeking audio recordings from an Amazon Echo thought to be active during an alleged murder. However, as with previous requests for encrypted phone data, debate continues around what duty tech companies have to their customer’s privacy.  Hotspots and Hunches Whilst Big Data has been used to help solve crime for a while, we’ve only seen it begin to play a preventive role over the past few years. By using Predictive Analytics tools such as HunchLab to counter crime, law enforcement services can:  Direct resources to crime hotspots where they are most needed.  Produce statistical evidence that can be shared with local and national-level politicians to help inform and shape policy.   Make informed requests for additional funding where necessary.   Research has shown that, in the UK, these tools have been able to predict crime around ten times more accurately than the police.   However, above and beyond the geographical and socioeconomic trends that define these predictions, advances in AI have progressed things even further.   Often, after a mass shooting, it is found that the perpetrators had spoken about their planned attack on social media. The size of the social landscape is far too big for authorities to monitor everyone, and often just scanning for keywords can be misleading. However, IBM’s Watson can understand the sentiment of a post. This huge leap forward could be the answer to the sincere, and fair, policing of social media that we’ve yet to see. Man vs Machine  Whilst our social media posts may be in the public domain, the question remains about how much of our data are we willing to share in the name of public safety.   There is no doubt that advances in technology have left us vulnerable to new types of crime, from major data breaches, to new ways of cheating the taxman. So, there is an argument to be had that we need to surrender some privacy in order to protect ourselves as well as others. But who do we trust with that data?  Humans are all susceptible to bias and AI inherits the biases of its creators. Take a program like Boulder, a Santa-esque prototype that analyses the behaviour of people in banks, determining who is ‘good’ and who is ‘bad’. Whilst it can learn signs of what to look for, it’s also making decisions based around how it’s been taught ‘bad’ people might look or act. As such, is it any more trustworthy than an experienced security guard?  If we ignore human bias, do we trust emotionless machines to make truly informed decisions? A study that applied Machine Learning to cases of bail found that the technology’s recommendations would have resulted in 50% less reoffenders than the original judges’ decisions. However, whilst the evidence suggests that this may be the way forward, it is unlikely that society will accept such an important, life-changing decision being made by a machine alone.  There is no black and white when it comes to how we use data to prevent and solve crime. As a society, we are continuously pushing the boundaries and determining how much technology should impact the way we govern ourselves. If you can balance ethics with the evolution of technology, we may have a role for you.   Take a look at our latest roles or contact one of our expert consultants to find out how we can help you. 

What does it take to be a Chief Data Officer?

By Noam Zeigerson Noam Zeigerson is a Data & Analytics Executive and entrepreneur with over 16 years’ experience delivering Data solutions. What does the role of the CDO entail and how can we succeed? Researchers at Gartner estimate that 90 per cent of enterprises will have a ‘Chief Data Officer’ (CDO) in place by the end of 2019. It also predicts that by then only half of CDOs will have been successful. So, what does the role of the CDO entail and how can we succeed? The rise in the use of data in the enterprise to inform business decisions has led to a recent phenomenon - the Chief Data Officer. Organisations will have a CDO in place to handle the many opportunities and responsibilities that arise from industrial-scale collection and harnessing of data. Unfortunately, it is rare to be successful, due to a number of challenges. As a new role, the CDO need to be in a position to increase business efficiencies and improve risk management, especially since the General Data Protection Regulation (GDPR) came into effect in May 2018. This puts the CDO in a position where business expectations will be high, and we have to make tough and potentially unpopular decisions, because the CDO’s role sits at the crossroads of IT and business. We typically responsible for defining the data and analytics strategy at our organisation. The CDO becomes instrumental in breaking down siloed departments and data repositories, which makes information easier to find and also have ramifications for the IT team. As Gartner notes, many CDOs have faced resistance, but the successful ones are working closely with their Chief Information Officer (CIO) to lead change. To be a key part of any organisation’s digital transformation, the CDO need a wide range of skills. The skills required of a Chief Data Officer The role of the CDO is multifaceted. For this reason, CDOs need to be able to combine skills from the areas of data, IT, and business to be successful. Data skills: A background in data science is crucial. A passion for statistics and a clear understanding of how to interpret data to glean insights is core to the role of the CDO. The CDO then needs to be able to communicate what those insights mean in a business context and make information easily available to all. A knowledge of data security is also critical. In the UK, the Information Commissioner’s Office (ICO), whose job it is to enforce GDPR in the country, recommends the creation of a Data Protection Officer (DPO) at each organisation. This should fall within the remit of the CDO. The value of sharing data at a senior level is recognized by UK organisations, by and large. Further down the authority chain the picture is different, with about three-quarters of executive teams and nearly half of front-line employees actually need to have access to detailed data and analytics. The CDO needs to ensure that those who need data to further inform decision making can do so and are sufficiently trained to gain business insights from that data. IT skills: Understanding how information flows is an advantage as the CDO is well placed to recommend and implement technology to democratise and operationalise data, as well as improve security. The CDO will need to manage expectations across the enterprise, so appreciating what technology can deliver is the key. Artificial Intelligence (AI) and machine learning are going to feature heavily of UK data projects, so many CDOs need to get to grips fast with this technology. Business skills: Strategic business logic is essential to success as a CDO. If the expectation of the CDO is to influence strategy based on data, then consulting experience will be valuable. Project management skills is at the forefront of the CDO’s day-to-day role. Being able to bring siloed groups together and get them striving for the same common goal is a vital skill for any CDO. It’s clear that data analytics is only going to be deployed more heavily throughout the enterprise, so the CDO’s role is only going to become more influential and pivotal within organisations as different business units seek to gain insights to improve the business further. Making a success of the CDO role Every organisation will have different objectives and expectations of their CDO. Gartner estimates that four in every five (80 per cent) CDOs will have revenue responsibilities, meaning we will be expected to drive new value, generate opportunities, and also deliver cost savings. No pressure! Given those expectations, it’s no wonder that Gartner expects only half of CDOs to succeed. The core responsibilities of the CDO includes data governance and quality, and regulatory compliance. The CDO must also address the way that technology is deployed to address these issues. The CDO needs leadership and team building skills, as we are the chief change agent in the organisation for creating a data-driven culture. This means first-class communications skills will be valuable.The Chief Data Officer is going to be essential in delivering digital transformation. Organisations who create a CDO role must support that individual and make sure that they are integrated across departments, not isolated in a silo. The C-suite must lead from the front on this and, as we saw earlier, the support of the CIO will be critical. Harnham are the global leaders in Data & Analytics recruitment.  Take a look at our latest roles or get in touch with one of our expert consultants to learn more.