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. 

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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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Over the past year, pick up any paper. Flip to any news channel. Read any news reports. And you’ll notice a common theme. Data. Specifically, all the Data we use to help us determine elections (albeit with less and less accuracy), track pandemic cases, and even measure the health of our businesses. We all know Data is important. But the question is, what Data matters most?  If we’re not collecting the right Data, our predictions and forecasting could be skewed.  Seven Ways to Help You Make the Most of Your Data Here are a few things to consider when collecting the information needed to make an informed decision. Clarify your goals.Determine who will conduct the analysis once the Data is gathered and what should be expected of the results.Set indicators to help measure your results.Use the same variables as your collaborators. When the CDC, the WHO, and a variety of hospitals and healthcare providers around the world banded together to track pandemic cases, it was important they all used the same variables in their data. Ask the right questions. Determine what it is you need to know and focus your questions to that end.Feedback Offers Insight. In our remote working world, it’s more important than ever to communicate with team members both locally and globally. Offer and accept feedback to improve your data.Secure your data. The above offer best practices and things to keep in mind. But having open Data and Data collaboration offers more than teambuilding. When diverse voices, backgrounds, and ideas gather, we can create more broadly. We find solutions we didn’t see before.  Machine Learning, AI, and Sharing Can Move the World Whether we’re sharing Data to improve our city planning infrastructures to such global operations as environmental collaborations, we work better together. Opportunities which allow organisations to share Data can lead to economic, social justice, and environmental solutions the world over.  Just like we soak up information to learn, so too, do machines and AI. These systems need data to learn and grow. These learning systems improve with new and updated information. It is a collaborative effort between human and machine. When we ask the right questions, use the same variables as our collaborators, and have clear goals of our desired objectives, these technologies can help us make better, more informed decisions.  Data collaboration has shown us what can be accomplished when we have the right information. We gain new perspectives, new ideas, and new ways of doing things to find solutions for challenges we may face. If you’re looking to take your next step in the Data & Analytics industry, 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 learn more.  

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