What’s Changing in Data Analysis in 2022

One thing is certain – data analytics will only gain momentum for the foreseeable future and will be at the core of countless new technology solutions. Reliance on Business Intelligence (BI) and Analytics now outweigh strategy as the key requirement in business planning.

But what will business analysis look like in the coming years? How will today’s version of BI and data analytics evolve over time, and how can you ensure that your business stays competitive by using new resources that emerge?

Data Specialist Shortages Will Create Challenges

There is a noticeable shortage of qualified data analysts and data scientists in the market today, and this issue is expected to worsen in the short term.

Companies must plan ahead by creating unique incentives to attract talent or by identifying internal candidates and funding their training programs.

Wider Adoption by Business Users

BI and analytics tools will increasingly focus on usability. Natural language processing will allow business users to extract insights without needing to understand complex algorithms.

Growth in Machine Learning Will Accelerate

Machine learning and artificial intelligence will continue to unlock new opportunities. Many experts predict ML will soon dominate customer service, automation, and predictive analytics.

Managing Company Data Becomes Even More Challenging

As reliance on analytics grows, ensuring data accuracy, consistency, and security becomes non-negotiable. The quality of input data directly impacts the value of insights generated.

“The validity of the data going in determines the usefulness of the data coming out.”

The Cloud Will Become a No-Brainer

Cloud adoption continues to accelerate due to its flexibility, cost efficiency, and scalability. Gartner predicts that public cloud services will be essential for 90% of data and analytics innovation.

To stay competitive, companies must invest in talent, infrastructure, and processes that support clean, connected, and intelligent data systems.

This is just the beginning. Organizations that adapt early will be best positioned to turn data into their most powerful competitive advantage.