Data analytics have helped many programmers to make the impossible possible. This process involves analyzing raw data to discover new information and come up with useful solutions, so it’s a necessity to all businesses—especially those with websites.

Programmers are in charge of improving the services and customer relations of the businesses they’re handling through data analytics. So, now and then, programmers are on the hunt for the most useful and popular data analytics trends that can improve the way they usually do things. 

If you want to boost your career in programming and find some generous clients at, here are some of the latest data analytics trends you need to watch out for: 

Data Analytics In IoT

Data analytics and the Internet of Things (IoT) are two of the most innovative technologies today. But what happens when programmers combine both technologies? 

From Forbes’ “Simple Explanation Of The Internet Of Things”, author Jacob Morgan defined IoT as “the concept of basically connecting any device with an on and off switch to the Internet (and/or to each other). This includes everything from cell phones, coffee makers, washing machines, headphones, lamps, wearable devices, and almost anything else you can think of.”

IoT is basically everything, so if Data analytics enter the picture, every single IoT device connected to a network can produce valuable data. Companies that after the data of their consumer market can now understand the buying habits and behavior of their target audience. 

One company that has joined the trend is Amazon. America’s biggest e-commerce company released its very own IoT analytics solutions called AWS IoT Analytics

AI For Small Businesses

The future of Artificial Intelligence (AI) is still uncertain, but the technology already gave notable contributions in the data science industry. As a result, many programmers are now eyeing the benefits of AI to startup and small businesses. Yes, revolutionary technologies like AI are not just for giant companies. Several small to medium enterprises (SMEs) today are investing in AI to improve their customer service support, production process, research objectives, and marketing process.

Some AI software today that is perfect for startups and SMEs include the Convolutional Architecture for Fast Feature Embedding (CAFE), Fastext, Diagflow, Pure Chat Inc., and Tensorflow. These applications have proven to be effective in transforming the solutions and services of any business. What’s more, they are affordable and accessible.

The Rise Of DataOpsfreelance_sell_sidelines

Another data analytics trend popular in data-driven industries is DataOps. Short for Data Operations, DataOps is an emerging practice or approach that helps reduce the time invested in data analytics. DataOps encourages all IT and software development teams in one company to collaborate. In this way, building, testing, and releasing new software would be faster than before. 

Other benefits DataOps can offer to business operations include real-time data insights, Business Intelligence (BI) analytics, risk management solutions, statistical process control (SPC), bug fixing, and improved product delivery and deployment. DataOps—if used effectively and strategically—can provide long-term benefits to any business or company.