I've found Power BI to be the smartest tool I’ve used so far. It offers great features for visualization and reporting. Additionally, AI tools like Copilot and integrated AI in document software are improving rapidly, even though accuracy is still a big question mark.Don’t underestimate the importance of clean, accurate data. Regularly check for errors and inconsistencies, as high-quality data leads to better insights.

When working with limited resources, managing data analytics effectively means focusing on essentials and making strategic, impactful steps. For instance, if your main goal is to improve student engagement, start by tracking a few critical metrics like attendance rates or assignment completion times. Tools like Google Sheets or free survey software can help you collect and visualize this data without needing to invest in advanced software. Automation can also be a game-changer—even setting up a simple form for data entry or an automated email to send survey results can save valuable time.

1. Keep data simple. Fancy graphs don’t always convey what you need to know. 2. You often don’t require data tools to produce a straightforward visual representation. 3. Someone in management may need to guide the analysis required to test a particular hypothesis. 4. Train one or more individuals to conduct simple but effective analysis, helping you evaluate what actions are needed to improve the current situation.

One thing I’ve found helpful is that a good analyst must never be content to do the same things the same way every time. They must aim to select the right tool for the job instead of relying on their go-to tools and making it work for every situation.The whole world of data analytics is very dynamic and it changes a lot. Hence to be distinctive amongst others, you have to continue to develop yourself and build capacity in term of technical skills.