AI is increasingly being used in many areas of business, including data analytics, which has resulted in a range of data tools to help manage the process. By looking at the different features they offer, you can select the best tools for your business.
Using data AI tools
There is a wide variety of AI tools, including free options such as Rapid Miner and Google Colab. These are great to use when your business is first starting to use AI, as they can help you see what features you need without a major investment.
It is important to remember that these data AI tools are just that. They are designed for use by data analysts and will not yield good results for those without this expertise. If you do not have anyone in your business who knows about data analysis tools, it is worth using a data analysis company such as https://shepper.com/.
Features to consider
Automating routine tasks in data analytics, such as reporting, cleaning, and predictive analysis, frees up data analysts for more in-depth work.
Look for a user-friendly interface so you don’t have to spend a long time trying to work out how to use it. A good interface will be intuitive, making the process more efficient.
You will also want a tool that can integrate smoothly with data visualisation platforms to seamlessly deliver reports and dashboards.
Data can be varied, so you want a tool that works as well with small datasets as those with millions of rows. If a tool is not scalable, you risk incurring the expense of further tools.
While these are the key features you will be looking for, you should also consider the advanced features the tools offer when making your decision.
Some options
- Microsoft Power BI is good for business reporting and intelligence.
- Google Cloud AI is good for machine learning at scale.
- Tableau has an interactive dashboard and is good for data visualisation.
- Alteryx provides good, advanced analytics and data blending.
- KNIME is good for machine learning and data mining.