Selecting and obtaining software for data analysis and BI can be an extensive and intricate process that demands careful consideration and time. Now, various analytical platforms are available from numerous providers, making it essential to take several factors into account when choosing a provider, including budget, the cost of specific data analysis tools, and their functionality, which should satisfy the company’s needs and objectives. Additionally, it is vital to comprehend the direct user of the tool before making a purchase.

When searching for and selecting analytics and BI platforms, the main characteristics to take into account are as follows:

1. Automated Insights: modern analytics platforms must incorporate automated learning methods to inform end users and help them understand key indicators;
2. Data Preparation: a high-quality tool should generate analytical models based on user data, including metrics, groups, categories, structures, and data from multiple sources;
3. Data Visualization: effective visualization is essential for clear data display. Users should have the flexibility to approach visualization creatively and easily understand information, draw conclusions, and make informed decisions;
4. Manageability: an analytical platform should include data verification functions and enable monitoring and control of information exchange and promotion process;
5. Ease of Use: Modern analytical and BI platforms should be user-friendly for users of all levels, operate smoothly and clearly, and not require specialized knowledge.