You're an IT manager looking for data analytics tools. How do you know which ones are the best?

You need to consider several things to know which tool is the best. I will briefly highlight some of them 1. Your business goals and objectives 2. Your work approach and data architecture 3. The finance and business budget for the project 4. The size of your dataset 5. The type of data analytics to be performed

Clearly outline your organization's data analytics requirements. Consider factors such as the type of data you need to analyze, the size of your datasets, and the specific analytics tasks you want to perform (descriptive analytics, diagnostic analytics, predictive analytics, or prescriptive analytics).

Define your goals,look at for someone with data integration, compatibility,scability and flexibility skill with robust data modelling ability.

Understand the problems that need to be solved and the questions that need to be answered. This will allow you to pick a technology stack that best fits your needs.

When comparisons are made between various tools : Most important thing is what type of data are required and in which visualization format those must be displayed

Ease of Use: Evaluate the user-friendliness of the tools. Intuitive interfaces and easy-to-use features can enhance productivity and reduce the learning curve for your team. Compatibility: Check for compatibility with your existing IT infrastructure, including operating systems, databases, and other software solutions. You can avoid tools that may lead to integration challenges.

- Evaluate the total cost of ownership, including licensing fees, implementation costs, and ongoing maintenance expenses. Consider both short-term and long-term costs to make an informed decision. - You can assess the tools' scalability to ensure they can handle the growth of your data and user base over time. Scalability is crucial for long-term viability.

You can use trial periods or free versions to assess the tools in a real-world environment. This hands-on experience will provide valuable insights into usability and functionality.