Easier, Smarter, Better: What Does The 2019 Data Landscape Look Like?

Lucy Hughes our consultant managing the role
Posting date: 12/11/2018 1:32 PM
Data & Analytics have played a larger role in 2018 than ever before. A key talking-point, this year saw the Cambridge Analytica scandal, resulting in increased pressure on the biggest names in tech. With Mark Zuckerberg being summoned before various governments worldwide to answer privacy and security concerns, it’s unlikely that we’re going to stop talking about the impact of Big Data any time soon. 

Fortunately, 2018 also appears to have been a turning point. Whilst we’ve seen a greater number of threats from Data, we’ve embraced the technology it supports more than ever before. As a result of this, 2019 is looking brighter than ever for the Data & Analytics landscape. 

Easier Access to Data


As businesses start to look at keeping their data closer to home, access has become more important than ever. Edge Computing has dramatically increased in popularity, and it doesn’t look like we’re going to see it slow down any time soon. BI Intelligence are estimating that, by the end of 2019, there will be 5.6 billion business-owned devices that access data in this way. 

A result of the speed at which technology is advancing, Edge Computing is also seen as a more secure and private way to hold data. Whilst it was initially feared that the ‘Edge Will Eat the Cloud’, we’ve actually seen both perform strongly enough to stand on their own two feet. Far more than just being a stepping stone as we move away from Data Centres, we’ve seen Edge Computing play a role in everything from the Internet of Things, to everyday fuel efficiency.

And, in 2019, we can expect it to play an even bigger role, as platforms emerge that will combine edge, multi-cloud and hybrid technologies.

Smarter Tech Than Ever Before


Whilst we all know that next year will introduce us to smarter technologies, they’re a few places where we can already some 2019 standouts. Natural Language Processing (NLP) has leapt forward over the past year and will continue its acceleration in 2019. Advances in Machine Learning (ML) will see BI tools feel the biggest benefit from this. In particular, the ability to ask programs questions around Data Visualisations and improve our insights will play a huge role. 

Off the back of this, we’re likely to see Automated ML play a huge role. Falling between cognitive APIs and custom ML platforms, Auto ML will offer analysts the flexibility to deal with complex issues without having to go through the typical ML training process. 

AI and ML will also revolutionise the DevOps world as 2019 sees AIOps become mainstream. This multi-layered technology will automate and streamline significant amounts of IT operations as the speed, and demand, of data continues to increase, but accountability remains the same. 

Becoming a Better Society with Data


Unsurprisingly, GDPR has had a huge impact on the Data & Analytics landscape in 2018. And, with the USA and India looking to embrace similar regulations in the new year, we’ll continue to feel the repercussions of this in 2019. 

Companies are now no longer being assessed on the black and white of the legality of their practices, but how ethically they use the data they have access to. As a result of issues that have arisen over the past few years, how social media giants handle their data is now a leading discussion point during every major election. Whilst Facebook are already taking some steps to address this, expect to see the pressure on them and their contemporaries continue to increase in 2019. 

It’s not only major networks that are having to adapt either. The number of leading businesses who now have their own data code of ethics has dramatically increased in the past few years and shows no signs of slowing. Plus, new technologies mean new risks and new principles. For example, as Facial Recognition technology becomes more and more prevalent, public concerns will lead to both fresh regulations but also increased responsibilities for firms

However, it’s not all rules and regulations. The rise in the amount of Data we have has led to a rise in the possibility to utilise it for social good. Enterprises like Orange and The Hutch Data Commonwealth are looking at how we can share data and insights to achieve common goals and make the world a better place. Despite an increase in risks, 2019 is also offering a plethora of opportunities to use data for good. 

If you’re looking to embrace the new and take on a fresh challenge in 2019, we can help. Take a look at our latest roles or get in touch with one of our expert consultants to find out more. 

Related 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.

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How Big Data Is Impacting Logistics

How Big Data is Impacting Logistics

As Big Data can reveal patterns, trends and associations relating to human behaviour and interactions, it’s no surprise that Data & Analytics are changing the way that the supply chain sector operates today.  From informing and predicting buying trends to streamlining order processing and logistics, technological innovations are impacting the industry, boosting efficiency and improving supply chain management.  Analysing behavioural patterns Using pattern recognition systems, Artificial Intelligence is able to analyse Big Data. During this process, Artificial Intelligence defines and identifies external influences which may affect the process of operations (such as customer purchasing choices) using Machine Learning algorithms. From the Data collected, Artificial Intelligence is able to determine information or characteristics which can inform us of repetitive behaviour or predict statistically probable actions.  Consequently, organisation and planning can be undertaken with ease to improve the efficiency of the supply chain. For example, ordering a calculated amount of stock in preparation for a busy season can be made using much more accurate predictions - contributing to less over-stocking and potentially more profit. As a result, analysing behavioural patterns facilitates better management and administration, with a knock-on effect for improving processes.  Streamlining operations  Using image recognition technology, Artificial Intelligence enables quicker processes that are ideally suited for warehouses and stock control applications. Additionally, transcribing voice to text applications mean stock can be identified and processed quickly to reach its destination, reducing the human resource time required and minimising human error.  Artificial intelligence has also changed the way we use our inventory systems. Using natural language interaction, enterprises have the capability to generate reports on sales, meaning businesses can quickly identify stock concerns and replenish accordingly. Intelligence can even communicate these reports, so Data reliably reaches the next person in the supply chain, expanding capabilities for efficient operations to a level that humans physically cannot attain. It’s no surprise that when it comes to warehousing and packaging operations Artificial Intelligence can revolutionise the efficiency of current systems. With image recognition now capable of detecting which brands and logos are visible on cardboard boxes of all sizes, monitoring shelf space is now possible on a real-time basis. In turn, Artificial Intelligence is able to offer short term insights that would have previously been restricted to broad annual time frames for consumers and management alike.  Forecasting  Many companies manually undertake forecasting predictions using excel spreadsheets that are then subject to communication and data from other departments. Using this method, there’s ample room for human error as forecasting cannot be uniform across all regions in national or global companies. This can create impactful mistakes which have the potential to make predictions increasingly inaccurate.  Using intelligent stock management systems, Machine Learning algorithms can predict when stock replenishment will be required in warehouse environments. When combined with trend prediction technology, warehouses will effectively be capable enough to almost run themselves  negating the risk of human error and wasted time. Automating the forecasting process decreases cycle time, while providing early warning signals for unexpected issues, leaving businesses better prepared for most eventualities that may not have been spotted by the human eye.  Big Data is continuing to transform the world of logistics, and utilising it in the best way possible is essential to meeting customer demands and exercising agile supply chain management.  If you’re interested in utilising Artificial Intelligence and Machine Learning to help improve processes, Harnham may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  Author Bio: Alex Jones is a content creator for Kendon Packaging. Now one of Britain's leading packaging companies, Kendon Packaging has been supporting businesses nationwide since the 1930s.

Data & Analytics in Munich

Three Reasons Why Munich Is The Place To Be For Data Analysts

As one of the world’s largest economies, Germany continues to attract tech talent from all over the world, and has even overtaken the UK in terms of intra-Europe tech immigration in recent years. Whilst Berlin may be the first place that comes to mind when thinking of places to live as a Data Analyst in Germany, with its numerous start-ups and international culture, there are several reasons why you should also consider the southern gem of Munich. Here are three of the best: A First-Class Quality Of Life While the first thing that comes to mind when thinking of Munich is often the world famous Oktoberfest and the beer induced crowds packed into small beer tents paying the equivalent of a year´s salary for a pint, this is not the only thing Munich has to offer. During the other 349 days of the year when Munich is not packed with Lederhosen-wearing crowds from all over the world, it is a tranquil, green place to live.  Munich is home to a number of large parks, including the beautiful Englischer Garten, Museums and a number of non-beer related cultural events throughout the year. It’s also the third largest city in Germany and, as such, has all the benefits that big city life has to offer. However, nature is never far away, with a beautiful mountain landscape just on the horizon, including the tallest mountain in Germany, the Zugspitze, which sits only 90 km away. On top of this, the transportation system in Munich is one of the best in the country; clean, efficient and so simple to use, it actually makes commuting bearable.  Expansive Opportunities  Most major European cities have seen a boom in the tech market in recent years and Munich is no exception. Not only home to some of the biggest global and German players such as Amazon, MunichRE, Man, Allianz and Linde, the city is also seeing an increasing amount of investment in tech start-ups.  This has led to tech talent, particularly Data & Analytics talent, being highly sought after by a number of the country’s biggest and best employers. And healthy competition means even healthier salaries. Even though Munich doesn’t have the lowest cost of living around, the average pay for Data Analysts is higher than in most other German cities, meaning you’ll get to make the most of your time away from the office.  A Thriving International Culture With 25-38% of Munich´s residents originating from other nations, more and more companies, big and small, are open to welcoming English speakers into their teams. While the culture in Munich still makes it easy to immerse oneself into the German language and culture, the city is also very welcoming to its international inhabitants.  Of course not everyone can speak English, but it is surprising how many people do. This makes getting around as a non-German speaker that much easier, especially considering that the Bavarian version of German can sometimes feel like a completely different language to what is spoken by the rest of the country.  Like every country, different cities attract different personalities and find the right place for you is crucial before making a move. But, with its high quality of life, great job prospects and international culture, Munich certainly has a lot to offer for any Data Analyst looking to move to or within Germany.  If you’re considering making a move to Munich, take a look at our latest opportunities, or get in touch and we can discuss what could work best for you. 

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