Most business decisions today are driven by data rather than instinct. The abundance of data processing tools and platforms has made it possible for organisations to predict and solve future business problems well ahead of time.
Data or digital analytics will form one of the most important business operations in 2022. A recent report by IDC predicts the generation of more than 174 zettabytes of global business data by 2025, evidence of the fact that the data analytics industry can only grow in size and relevance in the future.
A career in data analytics can allow you to be at the forefront of technological advancements while earning a great pay package. A Glassdoor report suggests that an average data analyst can earn around €40,000 per year.
Getting into a data analytics job might be easy, but sustaining a career in the domain isn’t always a walk in the park, especially if you don’t update your knowledge regularly. As a data analyst, you are expected to be aware of all the latest digital analytics trends and data science developments happening across the world.
Let’s take a closer look at some of the leading data and digital analytics trends in 2022.
What kind of data analytics trends can you expect to dominate the data science domain in 2022?
The recent pandemic saw a shift from conventional analytics techniques that relied heavily on historical data. Instead, companies looked towards a class of data analytics that had its roots in short bursts of local data.
This shift has largely helped companies deal with the disruptive change and radical uncertainty that followed in light of recent events.
This shift, which is likely to continue in the future, has given way to the following data analytics trends and developments.
- The rise of more scalable and responsible AI: Artificial intelligence or AI has come a long way since its inception a few decades back. AI in 2022 is smarter, more scalable and responsive. Adopting smarter AI solutions can help organisations to develop better business algorithms, shorter data processing times and easier to interpret data processing.
- The increasing relevance of composable data and analytics: The aim of composable data analytics techniques is to use specific components from different data sets and combine them with AI solutions to provide a more flexible and user-friendly data experience. Not only that, companies adopting composable data techniques have reported better collaboration between data science teams as well as improved analytical capabilities between other departments.
- Increased focus on data democratisation: Data analytics has long been a playing field for a few elites with expertise in data science. Today, businesses and individuals are calling for the democratisation of data analytics which can empower anyone to make data-driven decisions. There is an increasing focus on automating data analytics procedures and techniques which allow even non-technical people to access data insights.
- Companies adopting more affordable data management processes: With the enormous amount of business data that even an SME produces, it can be difficult to manage and process all of it. Existing data analytics solutions can also be pricey for smaller companies and businesses. Hence, there is a growing demand for user-friendly data management processes that are also affordable.
- An increase in the number of public cloud solutions: Cloud computing solutions can be an affordable way to manage and process business data in 2022. Cloud solutions also provide a lot of scope for scalability and flexibility. This is why more and more companies are adopting cloud computing solutions. As per a Gartner report, public cloud services can reach a value of $482 billion by 2022 globally.
Other important data analytics trends include the rise of graph technologies, increased gaining a competitive edge, and analytics as a core business function. Some more worthwhile trends include the adoption of data fabric and the rising significance of augmented analytics.
A comprehensive data analytics course can introduce you to many of these trends and help you understand them in-depth. Additionally, you can hone your data comprehension and processing skills, which can boost your career prospects in this industry.
IBAT College Dublin offers a great Diploma in Predictive Data Analytics which can help you transform your organisation by suggesting data-driven strategies. The classes for this programme are held in the evenings, which can allow you to balance a full-time career on the side.
The diploma can pave the way for your academic skills in data analytics should you choose to pursue a master’s in data analytics in the future.
The USP of the programme is its well-designed curriculum and team of industry-experienced tutors. Through this course, you will learn to use multivariate techniques for data transformation, process ‘small’ and ‘big’ data, and present your data insights in a clear and persuasive manner.
Click here to enrol in the data analytics course in Dublin at IBAT College today.
This article was written by Sweha Hazari.