Throughout the new year, many businesses are going to start using AI to handle and manage analytics. Why? AI offers a ton of benefits for businesses, including cost savings, faster results, a reduction in errors, and more. With the increased use of AI in analytics, there will be changes to how analytics is done and used. Some of the ways AI is helping to shape analytics in 2022 include the following.
More Efficient Analysis
AI can be automated, allowing for a less expensive and faster analysis of data. Employees are going to take time to do an analysis, so it’s not going to be completely up to date because of the amount of time needed to compile data, analyze it, and create a report. An ai-powered bi tool is able to get the job done a lot faster and at a lower cost compared to an employee doing the work. With automation, it’s possible to have the AI look for specific triggers and then automate actions or send reports of what is discovered. This allows for any issues to be caught faster, for management to stay on top of the data, and for employees to be notified if anything is found.
It is costly to hire an expert to review, analyze, and report on the data for the business. Along with taking time, companies can end up spending a huge amount of money to have this done and use it to determine what steps to take next or what changes to make. AI-powered analytics, on the other hand, is far more accessible. Newer programming languages can be used with AI to make it easier to automate and use AI for analysis. AI now uses NLI systems, which mean anyone can form request using natural language instead of needing to understand and use a specific programming language. Any business can start using AI in analytics when it’s easy to learn and use.
Analytics that was automated in the past could only work with structured data that did not include any personally identifiable information. This limits what the analysis would include, which could lead to mistakes or issues in determining how to use the information. With only relying on structured data, there was a lot missing. With AI, however, it’s possible to analyze unstructured or semi-structured data. Unstructured data like audio and images can now be analyzed, as can semi-structured data like invoices or receipts. This gives business owners the opportunity to fully understand their business and the impact potential changes can have.
Instead of just automating the analysis of data and requesting information when there are any triggers discovered, AI is becoming a lot more powerful. It can do a lot more, such as using the variables in the data to enhance potential forecasts. This helps businesses better predict the future for their business. AI can also help with understanding the normal trends of the business, which allows it to spot if anything is different. This can help detect fraud or potential issues that need to be corrected quickly. It can also be used to help group and organize the data created by the business, making it easier for employees to review the data and use it as needed.
AI is becoming more accessible and is starting to do a lot more for analytics, so many more businesses will want to start using it. With the cost savings, the reduction in time needed to analyze the data, and the ability to automate a variety of different tasks, AI is leading to new changes in the way analytics are done and how businesses can use the data. Take a look at how AI can be used for analytics in your business to learn more about all of the benefits you’ll be able to see, as well as how easy it can be to get started.