Data scientists typically are the ones who handle predictive analysis by using their extensive knowledge in data science, programming, and historical data to determine future… Read More »Going beyond the limitations of line charts
When using DAX, it is either in calculated columns or in measures. At the beginning of learning Power BI, it felt like calculated columns and… Read More »Power BI Measures VS Calculated Columns: The main differences
You know that DAX in Power BI is a powerful engine and must be used in your report to have exciting insights beyond the standards… Read More »Power BI Tutorials: Understanding Context in DAX
There are various ways when it comes to integrating Power BI dashboards into apps and websites.We will discuss in this article the different ways for… Read More »How To Securely embed Power BI in other Applications or Websites
We saw in our previous article how to use Microsoft Store to install Power BI, Download Power BI if you have a 32-bit operating system… Read More »How to download Power BI Desktop (Alternate method)
You’ve been working hard to gain access to your company’s data and set up Power BI Desktop on your computer, and now you’re excited to… Read More »How to Convince Your Boss to Use Microsoft Power BI
One of The biggest problems with the Power BI desktop is its performance, not when consuming data, Power BI does great on that, but when… Read More »The Biggest Problem With Power BI, And How You Can Fix It
Power BI is a set of software services, apps, and connectors that work together to help you manage and analyze your organization’s data in the… Read More »How to use Power BI Service for Free without a professional email (Step by step)
Often when our clients try to analyze their HR with Excel or another traditional analytics tool, they find the process complex, confusing and frustrating. Today,… Read More »The Beginner’s Guide To Recruitment Analytics
According to internet live stats, more than 5 million searches are conducted on Google every minute, that’s a lot of data to be stored, managed,… Read More »How “Big” is Big Data?