The global datasphere is exploding with hundreds of zettabytes of data produced every day. All the Big Data trends and predictions point to one undeniable fact: Big Data and data analytics will rule the future.
The rapid growth of AI, ML, and IoT have all fast-tracked the world toward integrating Big Data into every industry. We are seeing extensive use of Big Data analytics in healthcare, entertainment, banking, and pretty much wherever else you may look for it!
What’s more, the global revenue of Big Data and Business Analytics is projected to grow to $274.30 billion in 2022.
Image Source – IDC
As new technologies and approaches emerge, the application of data analytics will also evolve. Here are the 5 predominant Big Data trends with the potential to be drivers of change in 2022.
Let’s dive in and understand the latest Big Data trends.
Top 5 Big Data Trends You Should Watch For
To stay on top of your digital game, here is a quick run of the top Big Data trends you should keep your eye out for.
1. Predictive Analytics Gains Dominance
Predictive Analytics, in a nutshell, refers to mining and analyzing present data to provide projections for future events and trends. Such cutting-edge analysis of data is done using the latest statistical techniques and next-gen tools.
Can you imagine the lives we can save by using data analytics to predict a stroke?
With predictive analytics, businesses will not only be able to gain insights but actually create models and behavioral patterns. For instance, if you are using tools for lead generation, predictive analytics can enhance its accuracy. When you can predict both threats and opportunities with some authority, then your position in the game changes.
Big data also plays a crucial role in financial audits that help in data-driven strategy formulation.
2. Multi-Cloud Strategy Will Continue to Evolve
We already understand the enormity of unstructured data and its potential to help businesses grow.
When valuable data is scattered across clouds, it becomes difficult to manage costs, maintain performance, address risks and even render good customer service. Multi-cloud architecture is an attempt to bridge such gaps and provide seamless access to relevant data, no matter where it resides.
As more and more businesses rely on Big Data analytics for digital transformation, you can expect multi-cloud strategies to go mainstream.
Enterprise data warehouses are another solution to integrate data from multiple sources for centralized analysis and Business Intelligence.
3. AI Gets Stronger, but Humans Are Pivotal
Let’s face it, artificial intelligence is empowering businesses like never before. In 2022 and beyond, we can expect more and more businesses to rely on AI technology to address varied business scenarios, from improving mobile app performance to making more complex decisions.
But will AI wipe humans out of their jobs? Not really. In fact, AI and machine learning are creating opportunities for innovation and growth. Additionally, businesses will require experts with Big Data Analytics certification to analyze the data and strategize for growth.
As for the major Big Data trends, we will see AI and humans coexisting and relying on each other for unprecedented technological advancement.
4. Increased Adoption of Business Intelligence Software
One of the prominent Big Data trends this year is the increased adoption of Business Intelligence software. We have already seen businesses adopting BI platforms like Microsoft Power BI and achieving better results, faster.
Why is that?
Speed of implementation, ease of use, scalability, and enhanced performance are the main reasons, but it’s not limited to those! That’s why every leading sector is expected to employ this revolutionary technology to accelerate their business growth. Some of the future applications of BI may include self-service BI, data governance, collaborative and integrative BI, and prescriptive analytics. By adopting the business intelligence software and combining it with penetration pricing, be ready for a significant response.
5. ”’Right Data’ Analytics Will Pose Stiff Competition to Big Data Analytics
Let’s face it, Big Data really is too big, and leveraging it is getting harder. Enter ”’Right Data analytics, a game-changing concept. As one of the top Big Data trends, it refers to finding the right data, irrespective of where or who created it and consuming it for data analytics.
A SaaS marketer, for instance, can rely on right data analytics for tracking the right KPIs for SaaS marketing. As we go forward, we can see data experts leaning towards the right data analytics to enhance the precision and speed of data analysis. This may pose stiff competition for Big Data analytics as we know it.
Over to You: Gear Up with These Big Data Trends
These Big Data trends point to how important data analysis is becoming for businesses. We can be certain that advancements in AI and ML will reshape the way we use Big Data.
Businesses who take note of these Big Data trends and align their strategies accordingly can stay ahead of the competition and position themselves as trendsetters.
