5 Data And Analytics Trends To Watch Out For In 2022
Innovation in the field of data and advanced analytics is transforming a lot of industries and organizations today. Of course, I know it’s well past the point of our realization because almost everybody knows about it by now. Moreover, experts predict that our dependence on these technologies will increase in the year 2022 and the coming years.
It won’t be a great surprise, given the advantages that advanced data analytics brings. One great thing about advanced data analytics is that you won’t have to fit your organization’s processes to the traditional forms of analysis. Instead, you will adjust your analytics to your business processes.
That’s why if you want to make your company successful in this digital age, you should adopt such technologies in your operations. And, since the field of analytics is continually changing, you need to watch out for trends for you to not get left behind. So, here are the five data and analytics trends to look forward in 2022.
Infusion of Machine Learning with Smart Analytics
The automation of over 40 percent of data science tasks is expected to happen by next year. Needless to say, the progress in machine learning technology and its expanding capabilities will be a catalyst to that event.
A lot of people and tech experts are looking forward to this automation due to its myriad of advantages. For instance, automation with the help of machine learning solutions can provide insights that skilled analysts have difficulty to extract.
In this way, machine learning will expedite the entire process of extracting useful insights, increasing the company’s general efficiency as well as the reaction time to particular events.
As such, data analysts should always look to hone their skills and knowledge on experimental analysis and quantitative analysis, data scaling, automated solutions, and machine learning technology for that purpose. With the knowledge and direct experience with automation technology, a data analyst can provide the best results when it comes to data analysis.
The Rise of New Tools Related to Data Analysis
New tools and solutions related to modern technology will evolve and emerge, and we can expect most of them in 2021. These new solutions will inevitably provide data analysts with new opportunities, so they should keep updated with these emerging tools.
Even if you’re a data analyst with specialization, you must not rely on just one toolset, platform, or technology. For instance, with databases, you should include MongoDB, NoSQL, HBase in your arsenal. For frameworks and languages, you can include Python, SAS, Apache Hadoop, etc.
You should also learn data processing for you to stay relevant in the field of data analytics. Corporations and government agencies alike will hire data analysts who have expertise with data processing.
Of course, there will be a shift in the near future. It’s only up to you to keep abreast with the new technology solutions or get left behind. But if you want to stay relevant and expand your knowledge and skills, make sure to do your research always.
Continuous Confidence in Cloud Computing
Software engineers and data scientists are two different roles, but with the increasing confidence in cloud computing, we see collaboration between these two different fields in 2021. Collaboration and overlapping of roles are not new in this digital age, especially if you want to keep in part in today’s market.
Data scientists and analysts have to understand the growing demand for fluid infrastructure and how it impacts current operations and solutions. For instance, they have to provide a dynamic evaluation concerning the load on a server to meet performance requirements and deal with potential issues.
If they’re able to learn more about infrastructure and hardware, they will surely work their best when it comes to cloud computing. After all, machine learning, advanced analytics, and Big Data won’t be here if not for cloud computing and its consequent infrastructure.
At the moment, 30 percent of cloud vendors are utilizing third-party solutions to run their own infrastructures. A prediction has it that this number will rise by next year. Moreover, experts say that hyper-scale cloud providers like Google, Apple, and Microsoft will take advantage of cloud-based machine learning to get a 20 percent market share in data science platforms.
Natural Language Processing and Conversational Analytics
Another trend that we should all be looking forward in 2022 is the forecast that voice or natural language processing will be used to generate up to 50 percent of analytical queries. Of course, analytics tools should be more user-friendly and accessible to drive up this development.
The advantage of this trend is that key members of an organization will now be able to analyze complex data combinations with the help of an easy to use analytics platform. Using such a platform, you just have to enter a simple search, and then it will provide results. Users can also strike up conversations with virtual assistants to obtain or retrieve information.
Increase in Regulations
The General Data Protection Regulation served as an impetus for the call to prioritize data governance. The implementation of this regulation came out pretty quickly that it caused some difficulty for companies when it comes to its compliance.
On June 2018, another consumer privacy legislation was passed into law. This law is called the California Consumer Privacy Act, which will take effect next year. Such regulations are poised to affect consumer profiling, data processing and management, and data security.
Data scientists and analysts will play a significant role in helping companies understand these developments and navigate the rules that come along with these measures. With a better understanding of these laws, companies can handle the consequent impact of these regulations on their present and future operations.
It’s necessary that we understand and learn about future trends that will dominate the data analytics field. As we all know, data analytics plays a significant role in how businesses and organizations work their way in this digital age.
By 2021, you have to look forward and prepare for the trends mentioned above to stay relevant and keep you ahead of this evolving world.