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Top 10 Disruptive Big Data Trends for 2022

The latest studies reveal that in just 2 years, Big Data has spurred a change in the business perspective across the entire globe.

It forced business organizations to rethink their:

The following visual shows the major potential applications of Big Data, AI, and other technology landscapes:

With more than 2.5 quintillion bytes of data being generated daily. it is more than safe to assume that Big Data is gearing up for changing the way we think!

Here, we are sharing the top 10 Big Data trends in 2022 that are going to be the major change drivers.

Hence, it will improve the human race and the way we live, work and grow.

However, in order to keep the social and economic divide contained, the stakeholders have to have some common goals to adhere to, such as:

Also, humans have a distinct way of learning, perceiving, and responding to things, incidents, and people around them. Hence, while the future might have smart AI-powered customer staff, the overall management of operations will still require humans.

BI software draws its strength from:

Take a look at some of the future applications of BI:

Big data is empowering business organizations and data analytics stakeholders with its fundamental approach for quite a time now. It helps them to gain a competitive edge and accomplish their goals, such as better services, more sales, more customers, happier customers, and so on.

Business organizations use multiple tools to achieve these goals and predictive analysis is a common feature of these tools.

Predictive methods use historical events and modern data to uncover hidden trends and present actionable insights, such as:

So, you will be able to predict customer response, churn, purchase behavior and optimize your brand offerings, services, and business agendas accordingly.

The visual shows how predictive analytics can identify the meaningful patterns of big data and generate future predictions to identify the value proposition of various options.

Some other additional responsibilities will include:

Some of the sectors that are in for a huge wave of change in the light of cloud-native analytics are:

Digital transformation stems from the ability of an organization to combine both automation and digitization.

As the global business landscape becomes more competitive, more sophisticated, and extremely data-centric, Big Data emerges as one of the key drivers of digital transformation. Businesses across the globe utilize huge chunks of unstructured data to discover the hidden patterns in relation to their business models and Big Data becomes all the more important.

Take a look at some ways Big Data triggers digital transformation:

Leaders in the data analytics segment utilize X analytics to solve the toughest challenges to humanity, such as disease prevention, wildlife protection, and climate change.

Big Data, in unison with other technologies, such as artificial intelligence can comb through millions of research papers, news sources, clinical trials, and academic content pages to help climate researchers. The researchers can find new ways to contain the massive climate change, create containment plans for severe outcomes in red zones identify the most vulnerable population pools via graph analytics, etc.

Take a look at the following visual that shows various ways big data can benefit climate change researchers:

Big Data analytics will also empower climate researchers to predict and plan for natural disasters and other such crises with its predictive models.

Medical experts use the term “precision medicine“, where medical experts are able to design a highly precise treatment procedure via big data analytics.

When it comes to developing the best treatment procedures, there are two ways:

Precision medicine is a synergistic result of the classical methodology and Big Data, as shown in the image below:

Big Data Fabric is an emerging concept of a platform that can accelerate and refine business insights.

Offering unparalleled analytical services, the big data fabric will empower the business networks with enhanced security across the cloud networks, on-premise systems, and edge devices.

A simple visual representation of big data fabric is shown below, with various components and functions:

ADM or Augmented Data Management is an application that enhances the ability to automate data management tasks. Hence, ADM is a worth-betting trendsetter in the big data landscape in 2022.

According to the industry experts, the areas where ADM has the most potential are:

Data-as-a-Service (DaaS) is not an entirely novel concept, as it has been in use for quite some time now. DaaS refers to a data management strategy using the cloud for delivering multiple services, such as integration, storage, processing, and analytics. All these services are delivered over a network connection.

However, earlier delivering these services was a daunting task as the network bandwidth was a limiting factor, and data processing capabilities were also limited.

While the majority of these models are enabled by SaaS tools, the trends are going to change in the times ahead. If you are a business organization with hoards of data that is useful to people in general and are facing issues maintaining and managing it, DaaS can be a lifesaver!

Some of the compelling benefits DaaS offers are:

With such promising trends and many more upcoming ones, big data is undoubtedly all-set to revolutionize multiple business sectors, processes, and public infrastructure in general.

However, with greater capabilities and functionalities, comes a load of developing better and more reliable security postures, and cost-efficiency models. While the world is still gearing up for embracing the set of new duties that are taxing enough, the hybrid data analytics and computing landscape are teeming with disruptions.

And, Big Data is the answer, irrespective of the question we have!

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