The data is transforming businesses and organizations of all kinds. In the field of data analytics, there has been a huge change: Professionals are tailoring analytics based on their needs, rather than trying to fit data into traditional analytical methods.
Big data has an increasingly important role in decision-making, from the most “subjective” ones, such as branding, to those that have always relied on figures. And of course, all this environment of changes is great news for marketers who know how to take advantage of them. So, without further ado, let’s look at 12 big data and analytics trends for 2020.
12 trends in data and analytics for 2020
The automation is not only a trend in big data but in many sectors looking to increase their level of business and productivity. So much so, that it is estimated that by 2020 more than 40% of data-based tasks will be automated.
As a result, productivity is expected to increase globally and unskilled data scientists can take better advantage of available data.
Furthermore, data automation will also be a great help for decision-makers, who will be able to go a step further and contribute to the advancement of their companies with the appropriate information.
By 2020, it is expected that there will be more than 20,000 million active devices with the Internet of Things. And logically, the more connected devices, the more data will be available to analyze.
In large companies, where the Internet of Things devices are being incorporated into daily operations, the corresponding technology is also being implemented to be able to analyze the large volume of data generated.
The result is that we will see many more analytics solutions specially designed for Internet of Things devices, which will not only provide relevant data but also transparency around them.
But this trend also has its negative side, and that is that 75% of organizations will not achieve the full potential of the Internet of Things due to a shortage of professionals in the field of data science.
Another trend with a good chance of being influential in 2020 is in-memory processing (IMC). Since the cost of memory has been reduced in recent years, memory processing has become a very popular technological solution that offers multiple benefits for analysis.
New persistent memory technologies reduce the costs and complexity of memory processing. In this way, we have a massive, highly efficient memory that supports high-performance workloads.
For businesses, in-memory processing means much faster CPU performance, faster storage, and larger amounts of available memory. For this reason, many sectors are already adopting it to improve the performance of their current applications and be prepared for the future.
Up to 90% of large organizations are expected to generate some form of revenue from Data as a Service (DaaS) by 2020. Data as a service is a cloud-based technology that enables Clients to access digital files over the internet.
Also, since high-speed internet is easily accessible to most consumers, the service is available to a broader audience. The globalization of DaaS will also help to build bridges between different departments of the same company, offering them the ability to share data easily and faster. And with that, we will also see an increase in productivity.
The big data trend of augmented analytics is growing rapidly to become the dominant method in 2020. Augmented analytics has revolutionized the paradigm by combining machine intelligence and machine learning techniques to create a new way to create, develop, share and consume. analytical.
The augmented analytics market is experiencing a time of great growth, as it is projected to go from representing $ 8.4 billion globally in 2018 to $ 18.4 billion in 2023.
The advantages of this technology lie in the ability to automate many functionalities, such as data preparation, analysis, and model building. Furthermore, it is much easier to interact with the information they generate.
In 2015, less than 10% of large companies were using backups and “still photos” for more than just data recovery. But in 2020, more than 30% are expected to be used to improve security, privacy and reliability.
Many companies have large volumes of sensitive personal data in their backups, even if they have no intention of using it. In 2018, 10% of organizations considered backups and personal data files to be their main privacy risk; by 2020, this will be the main concern for 70%. Undoubtedly, a big data trend to take into account when choosing products and solutions for the coming years.
Mobile devices are being used in many situations: at home, at work, on the go … At the same time, there are more and more personal devices that incorporate technologies such as the Internet of Things or augmented reality.
The result of all this is that in 2020 it is expected that more than 50% of consumer interactions through their mobile phones will be contextual and hyper-personalized based on past and real-time user behaviour.
One of the most interesting data trends for 2020 is the technological advancement and the change of habits regarding personal devices. In addition to the increasingly powerful presence of voice assistants such as Siri or Alexa, it is estimated that next year around 5% of people over 65 will have their own personal healthcare robot. It is a very lucrative market, so many new developments can be expected in the coming years.
Once again, we see how the internet of things creates opportunities for big data analytics. Smart cities imply a need to collect, process, and communicate large amounts of data.
Smart cities will use the data to deliver healthcare, nursing care and prevention. According to the DatSci Awards , predictions say that by 2020 30% of smart cities will have smart robots and machines in their medical facilities.
Available data analysis applications and solutions make the Internet of Things can be leveraged to provide a good user experience for residents and improve their quality of life.
In 2020, it is estimated that 95% of content in the form of images and videos will be analyzed by machines. This market is expected to reach 59,870 million dollars .
In all probability, this 95% of content will never be seen by a human. Instead, the machine will use data analytics to provide detailed reports that support the company’s digital initiatives. And from these reports, companies will be able to detect opportunities in mobile, social and cloud technology.
Cloud storage has become a very popular way to securely store digital files. Currently, 30% of cloud providers are using third-party solutions, that is, infrastructure as a service (IaaS). In 2022, it is estimated that this figure will amount to 60% of suppliers.
Another prediction for that same year suggests that large cloud service providers, such as Microsoft, Apple and Google, will use cloud-based machine learning to acquire 20% of the market for data science platforms.
The latest big data trend for 2020 is natural language processing and speech as it is estimated to account for 50% of data analysis requests.
This will make analysis systems easier to use and accessible to everyone in the company through a simple search system, increasing the productivity of the entire organization.
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