Vira,
Head of Data Analytics at Aristeem

Hello, everyone!

My name is Vira. I’ve gone from creating my first spreadsheets to building a functional analytics team at a company. Along the way, I’ve seen why many “perfect” dashboards go unused and why applications go unanswered. I’ve also seen why even strong analysts often feel overlooked.

Today, we’ll break down the 10 main mistakes that cause this to happen.

1. You build a pretty dashboard, not a useful one
   You check every metric, configure all the filters, but the dashboard gets opened 2–3 times and then forgotten.
2. Resumes without a track record of impact
   We write “created dashboards” and “analyzed data.” But we don’t show who used them, how often, or their impact on the business.
3. Excessive detail
   We add all metrics and filters — the dashboard becomes complex, the user gets lost, and closes it.
4. We only show “what happened”
   The dashboard doesn’t explain “why” or “what to do next.” So colleagues keep coming back with the same questions.
5. Lack of the “result → deviation → cause → action” logic
   The dashboard displays numbers but doesn’t guide the user toward a specific decision.
6. We build dashboards for ourselves, not for the user
   We don’t consider if users can understand it in 30 seconds or navigate it without guidance.
7. Technical summary with no real impact
   We describe the tasks, but not how our work helped reduce time, cut costs, or improve decisions.
8. The gap between knowledge and practice in BI
   You think clearly and work well with Excel/SQL, but real dashboards don’t instill confidence or deliver results.
9. Focus only on data, not on decision-making
   We know how to calculate and visualize, but we don’t create a tool that people actually use every day.
10. Delay in changing our mindset
    We keep making more charts instead of changing our approach to analytics.

The common cause of these problems is that we were taught to work with data and charts. We were hardly taught how to operate data analytics in a way that focuses on the user’s perspective or build analytics as a tool for action.

That’s exactly why I created my practical course.

In this course, you’ll learn:

• How to build dashboards that actually help make decisions, not just display numbers
• How to clearly demonstrate the impact of your work in your resume and during interviews
• How to feel confident that your analytics deliver tangible benefits to the business

You’ll get a clear system: how to build dashboards that the team uses every day, how to create the “result → deviation → cause → action” logic, and how to think from the user’s perspective, not just from the data.

After the course, you’ll:

• Understand how to turn your reports into a portfolio that attracts employers
• Be able to demonstrate your expertise through Power BI and analytics
• Go from “the person who makes reports” to an analyst who is valued and well-paid

If you want your analytics to finally start working for you — delivering tangible results, attracting recruiters’ attention, and earning proper recognition — this course is for you.

Click the link and join the course to learn how to start with data analytics the right way.