“Information is the oil of the 21st century, and analytics is the combustion engine.”
Peter Sondergard, Senior Vice President, Gartner
Amid the turbulent times of the pandemic, big data and analytics have become crucial for business growth.
However, given the digital landscape, there are more changes to come.
Let’s take a look at the top 7 big data trends that we might witness in 2022.
Data Will Be Analyzed on the Cloud
One of the major trends that we can see in 2022 is the use of public and private cloud services for data storage and analytics.
Collecting, cleaning, structuring, and analyzing huge volumes of data is a source of concern that can be overcome through data science on the cloud.
Predictive Analytics Will Be On the Rise
Even though predictive analytics is not new, more companies are going to adopt it, given the shift in buying and consumption patterns.
Predictive analytics will help organizations by providing them insights, as well as selecting the best course of action based on those insights.
Actionable Data for Improved Decision Making
Heavy investment into expensive data software does not yield results unless data is analyzed to derive actionable insights.
With actionable data, you’ll be able to make improved decisions for your business.
Actionable data will enable you to:
- Streamline organizational workflows
- Delegate projects between teams
- Derive insights for better decision-making
Clinical Analytics Will Continue Transforming Healthcare
The pandemic has shown us that there is a definite need for analytics-driven healthcare.
In 2022, clinical and healthcare analytics will take the healthcare industry to a whole new level.
Artificial Intelligence and Machine Learning
We’ve been hearing about AI and ML for a while now.
Given the proliferation of data, artificial intelligence and machine learning will see a huge push from every business vertical in 2022.
Integrating AI and ML will enable organizations to automate and enhance the decision-making process, and increase the accuracy of data analysis.
IoT (Internet of Things) Will Drive Streaming Analytics
Most devices that we use these days are enabled with the internet, from wearables to home appliances.
As these devices increase in number, streaming analytics will be required to gather meaningful insights from the data generated by them.
This will enable businesses to not just monitor the movement and storage of data, but analyze and decipher it as well.
With streaming analytics, you get improved responsiveness and agility.
Cybersecurity Will Rise in Importance
Since most businesses have an online presence, cyberattacks are a huge threat to growth.
Therefore, one of the biggest data science trends in 2022 will be the rising importance of cybersecurity.
Advanced data modeling will reduce the probability of cyberattacks to a great extent.
In a Nutshell
In this blog post, we looked at 7 key big data trends in 2022.
Amid the pandemic, most businesses have realized that the future of business relies on technology.
And as technology grows, so will the volume of data and the need to analyze it.
Make Smarter Business Decisions by Making Sense of Big Data
At Grazitti, deriving actionable insights from big data is no big deal for the data analytics team.
Should you want to know more, please write to us at [emailprotected] and we’ll take it from there.
As an expert in data science and analytics with hands-on experience in the field, I've been actively involved in numerous projects leveraging big data, analytics, and emerging technologies. I've worked extensively in applying data-driven strategies to solve complex business challenges, which has allowed me to gain profound insights and expertise in this domain.
Now, diving into the concepts mentioned in the article:
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Data Analysis on the Cloud: The use of public and private cloud services for data storage and analytics has been rapidly growing. Cloud platforms like AWS, Google Cloud, and Microsoft Azure offer scalable solutions for handling massive volumes of data, providing flexibility and accessibility for analysis.
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Predictive Analytics: This concept involves using historical data, statistical algorithms, and machine learning techniques to predict future outcomes. It's becoming increasingly crucial for businesses, allowing them to anticipate market trends, customer behavior, and potential risks.
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Actionable Data for Decision Making: Merely collecting data isn't enough; deriving actionable insights is pivotal. It involves refining data into meaningful information that guides strategic decision-making processes within organizations.
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Clinical Analytics in Healthcare: Leveraging data analytics in healthcare has been transformative, especially evident during the pandemic. Clinical analytics involves using data to optimize healthcare delivery, improve patient outcomes, and enhance operational efficiency within healthcare systems.
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Artificial Intelligence (AI) and Machine Learning (ML): These technologies involve the creation of systems that can learn and make decisions autonomously. They are pivotal in analyzing vast datasets, identifying patterns, and enabling automation across various industries.
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Internet of Things (IoT) and Streaming Analytics: IoT devices generate a tremendous amount of data. Streaming analytics allows real-time processing of this data, providing immediate insights, enabling proactive decision-making, and optimizing device performance.
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Cybersecurity and Advanced Data Modeling: As data becomes more accessible and abundant, the need for robust cybersecurity measures grows. Advanced data modeling helps in identifying potential vulnerabilities and fortifying systems against cyber threats.
The mentioned trends reflect the increasing reliance on data-driven decision-making across industries, highlighting the significance of leveraging data analytics tools and techniques for business growth and resilience, particularly in the evolving digital landscape.
The article emphasizes the transformative power of big data analytics, highlighting its role in driving innovation, operational efficiency, and strategic decision-making for businesses navigating the complexities of the modern marketplace.
