4 Evil mistakes to avoid while using Power BI
Power BI career is in massive demand for business intelligence analyst job roles. Plenty of online courses and hands-on practice projects are now available over the internet for Power BI. Compared to other competitive BI tools like Tableau, Seaborn, etc., Power BI is quite easy to learn and offers numerous data filtration scopes, unique query generation, and customised data visualisation. However, most newcomers do five simple but evil mistakes in the Power BI tool usage without knowing it.
Let's see what those five mistakes are and how to refrain from doing the same.
1. Making the database layer clumsy with columns
It's a good idea to make your report available for reuse to analyse the future problem. But the idea of ignoring the present for securing the future is not at all appreciable.
What I mean to say, your present business problems can’t need all of the data tables and columns present in your database layers under consideration. So unnecessary addition of the same for future use can make your current report worthless and less precise from the following perspective.
● Changes of wrong insight generation become too high
● Presentation of data becomes hard to understand that may be a deal-breaker reason too.
● Unnecessary correlation can make the business senior more complex than the actual.
To avoid such inefficacy.
● Do column filtering before the generation of charts
● Use only those columns that matter to your current business scenarios and can be used to develop the same further.
● While omitting the column, don't forget to cross-check the availability of respected rows too.
2. Entertaining the visual cacophony
Becoming trendy is fine, but overemphasized it is not healthy for professionalism. Maybe your motto is helping your peer groups not to get bored, but your effort may also get wrongly interpreted as 'lack of professionalism'.
The use of multiple colours sometimes causes the illusion that can
● Make your presentation irritable
● Make your insights hard to understand
To avoid such circumstances
● Avoid using colour variation more than 4
● Use eye-shooting shades, not the eye Cathay-one.
3. Choosing Snowflex Schema for Tabular modelling
This is the most common mistake that the majority of New Power BI users keep repeating for years. You may argue that the Snowflex schema is better from the following aspects:
● It offers the maximum possible number of relationship
● It creates more foreign keys
While you think the above two aspects enrich your data analysis and visualisation, the hidden truth is that it ultimately makes your output more exposed to wrong insights. In addition, the increased number of foreign keys raises the costing too.
To avoid this mistake, always use star schema that offers
● Enriched user experience.
4. Ineffective use of calculated columns
Calculated columns expose your Data analytics courses in Bangalore process as well as the reports to the possibilities of severe errors. Besides, the dataset and reports become too heavy in size as all the associated columns, and rows of that particular calculated column get included under the database layer of Power BI.
The best solution to avoid such blunder is to use data columns that provide the following benefits:
● Improved degree of data consistency.
● Better accessibility for different models.
These are the four evil mistakes in the Power BI tool usage, making your everyday job role full of hurdles. But apart from that, you can have other simple tools that make your data analysis completely worthless.
To avoid those mistakes, you need to learn the Power BI tool from scratch, which you can do by joining Learnbay data science and AI courses. As per your year of working experience, you can choose a suitable Data Science Certification course. Our course comprises end-to-end training on top demanding business intelligence tools, including the Power BI tool.