Top 10 Big Data Trends For 2021

Understanding the main Big data trends is a mandatory task for data leaders. It is these advances that will shape the future and it is necessary to adapt.

According to Gartner, despite the challenges of 2020, the big data industry continued to move to conquer new technologies in 2021. The consultancy listed the main big data trends that are emerging in 2021 and we will explain them in detail for you!

Keep reading to learn how to use them to your advantage.

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What are the big data trends for 2021?

If you want to know what the big data trends are for 2021, you’ve come to the right place!

Today, we all live and breathe data. Companies are increasingly relying on them to make decisions, and the pace of data generation will not slow down anytime soon.

With this in mind, let’s remember what big data is!

What is big data?

As we have already explained in this post, and as the name implies, big data is precisely the high volume of data generated at high speed and great variety, which cannot be processed by databases or traditional processing applications.

Seeing the importance of big data for the efficiency of organizations, let’s understand what are its main trends for 2021!

More insightful, quick and responsible artificial intelligence

Leaders focused on big data innovation for AI are now responsible for improving the experience of professionals, developing their skills, and building organizational competence in partnership with responsible artificial intelligence.

Furthermore, according to Gartner, by 2021, 80% of leaders will make their business decisions with Artificial Intelligence technology.

The evolution of the dashboard

Data storytelling is not only creating visual panel data of the “point and click”. The experience will be more automated and dynamic.

This means that there will be time savings for those using predefined dashboards and reports. Also, the most relevant big data information will be communicated to each person using the tool based on its context, function, or use.

Decision intelligence with big data trends

It is predicted that by 2023, more than 33% of large companies will have analysts using decision intelligence, including decision modeling.

The making of difficult decisions is made each day faster and with less human intervention. It brings together multiple disciplines by providing a framework to help big data leaders design, model, align, execute, monitor, and adjust models and decision processes in the context of their business.

And you can start making smarter decisions today, you know how?

With Indicium’s big data and analytics consultancy. Here your data is managed efficiently, scalable and securely, in robust frameworks capable of gathering and processing data in a single location. So you can make data-driven decisions in real-time and achieve extraordinary results.

X analytics, the key variable of big data trends

The consulting firm Gartner created the term “X analytics”, in which X represents a variety of structured and unstructured data (text analysis, video analysis, audio analysis, etc.).

“X analytics” is used to solve the toughest challenges inside and outside organizations, from sales forecasting to disease prevention.

What’s more, combined with AI and other techniques, this variable will be critical in identifying, predicting, and planning for natural disasters and other crises in the future, such as the current COVID-19 pandemic.

Improved Big Data Management

The most enhanced data management products examine large samples of operational data, performance data, and work schemas in real-time.

Using existing registries, improved mechanisms can tune operations and optimize the configuration, security, and performance of the organization as a whole. These can be as many cloud resources, connected data architectures, and metadata as automation of routine and non-routine tasks through the AI application.

The cloud is an indispensable factor

Cloud-based, cloud-based technologies are increasingly pervasive in the technology arena and are essential for anyone who wants to stay ahead of the digital world.

As a result, the adoption of the cloud will grow in the coming years. Thus, decision-makers will have to prioritize requirements that allow them to exploit cloud resources to their fullest and focus on cost optimization when migrating.

Data and analytics: two colliding worlds

Data and analytics are managed separately. The collision between the two affects the technologies and resources provided, as well as the people and processes that support and use them.

To turn this collision into constructive convergence, we need to incorporate diverse data and analytics tools and resources into what we call the analytics stack.

In addition to tools, a trend in modern data science and analytics processes is to work on communication and collaboration between these two universes.

Exchange data marketplaces

By 2020, 25% of large organizations will use online marketplaces to buy and sell data. And, by 2022, that number is expected to increase to 35%.

Why is it necessary to keep an eye on this trend?

Simple: Data marketplaces enable universal, centralized access to data, which can increase the scalability of products and services and reduce data costs for businesses.

Another important point to be highlighted here is the General Law for the Protection of Personal Data (LGPD), which has been in force since 2020 and guarantees protection, within the country and in the world, to the personal data of every citizen who is in Brazil.

In these new marketplaces, LGPD should be considered so that it becomes a data source with great credibility and accessibility. It ensures, among other precautions, the management of risks and failures, governance standards, adoption of preventive security measures, contingency plans, audits, and agility in resolving incidents.

Blockchain for big data

Blockchain technology brings numerous benefits such as financial transparency, combating fake news, and much more.

In the business world and in the world of data science, the blockchain introduces new possibilities for tracking and managing customer data.

In this sense, business leaders need to follow this trend and remain attentive to the evolution of this technology so as not to run the risk of falling behind the competition, losing business opportunities, and competitive advantage.

The value of big data is in relationships

The graphical analysis allows you to explore relationships between different parties, such as companies, people, and transactions. It facilitates quick contextualization of data.

This technique helps big data leaders find unknown relationships in the data and review difficult-to-analyze data without enhanced visualization.

Furthermore, when combined with machine learning, it can be used to link multiple data sources and documents that can help experts across different industries. A good example is a healthcare, which now, in the midst of the pandemic, is increasingly using this technology to develop solutions more quickly.

So consider graphing algorithms and technologies as a way to accelerate your business growth.

Big data trends can shape the future

So far, we’ve detailed the top 10 technology trends that big data leaders should focus on when making investments within their company.

The pandemic we are facing has a huge impact on innovation and digital transformation across the entire global business landscape. That’s what these top 10 trends are all about, the “new normal” we’re living.

As we all enter the new year with the effects of 2020 still present, experts are plotting analytics to turn data into decisions that improve lives and results in organizations.