AI is the future for business analytics in regards to time-saving when searching for the root cause of underlying issues. Artificial intelligence-driven business analytics provide organisations with machine learning algorithms that can identify trends from complex data and extract insights over multiple sources.AI is quick to learn and adapt to changes in metrics and behavioural patterns, greatly helping business analysis. Along with this, it has more precision when detecting deviations and anomalies, which reduces false positives significantly.Artificial intelligence is not new, it’s been around for a while, and it can be found everywhere. It is thought that by 2024 AI will have been adopted by 75% of organisations, so if you don’t want to be left behind, now is the time to jump on board.Some of the main benefits of implementing AI-driven analytics include the following:
- Saving time;
- Minimising the efforts of humans;
- Improving the efficiency of businesses;
- Increasing productivity through delivering fast insights;
- Reducing the complexity of data;
- Being able to manage large volumes of data effectively;
- Continuous optimisation of data.
The first step towards accelerating business analysis with AI
The first step towards using AI to provide real-world applications in business is to get certified in artificial intelligence. The BCS Essentials in Artificial Intelligence course from TSG Training is the first stop.This essentials course covers the benefits of AI for accelerating business analysis, the different types of AI, the basic process of machine learning, the future of AI and much more.The best AI tools for business analysts
So, you know that the future of business analytics is AI but what are the best tools to implement?- Microsoft Power BI
- The way it integrates with applications that are already in existence;
- It assists in the publishing of secure reports;
- There are no speed or memory constraints;
- Personal dashboards can be created.
- Microsoft Azure AI Fundamentals
- Build and deploy your own AI solutions;
- Accessing vision, speech and language in high quality;
- Creating machine learning models.
- Tableau analytics and data visualisation platform
- The ability to support data blending;
- Complex computations;
- Dashboarding;
- Being able to create interactive visualisations quickly;
- It is easy to implement;
- Has the ability to handle large amounts of data.
- Akkio business analytics and forecasting tool
- Predictive analysis;
- Improving sales and marketing;
- You don’t need any prior coding experience to use it.
- MonkeyLearn AI data analysis
- Setting up of text classifiers;
- Set up text extractors for automatic sorting data;
- Extracting user data and product features;
- Saving hours on processing data manually;
- Easy sorting and processing of data;
- No coding knowledge is needed.
- Polymer for powerful, flexible databases
- Easy to transform data into a database;
- You don’t have to learn to code;
- Spreadsheets are interactive and can be searched;
- Data can be analysed, and the user’s understanding improved.