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Blogs

Data Wrangling Series: Major League Baseball Play by Play Data in Azure Data Lake Gen2

October 2 2020

Azure / Power BI

This is a continuation of our series on “weird data wrangling” scenarios. In this blog post, I will tackle some interesting data on Major League Baseball play by play data.

5 Data Modeling Tips

August 17 2020

 

Power BI

 

Perhaps one of the most crucial steps in creating effective visualization tools in Power BI is modeling your data. As data analysts, our goals are to make data exploration faster, make reports more accurate, and make the data and reports easy to maintain over time. If you model your data correctly, then it makes it possible for these goals to be achievable. With there being so much that goes into data modeling, it can be difficult to know where to start.

In this post, I present 5 tips that can help you model data in a way that can help you be successful in visualizing data in Power BI.

How to scrape and analyze website data with Power BI

August 3 2020

 

Power BI

 

 

Power BI connects to 115+ data sources. A webpage connector is very useful and enables data stored on websites to be mashed up and analyzed. When several webpages in a given URL share the same structure and content (e.g., a page for each year or category), the creation of a parameter for the URL and a function to replicate the Power Query code can import all of the data into a single data-set. This blog post will demonstrate how to do just that.

 

You may not be selling the right thing to the right customers.

September 21 2017

Business is tough. Your competition is actively trying to bury you, customers are slow to pay you, and the government will abscond with a pile of your cash if you have the audacity to show a profit.  At times it can seem as if the deck is stacked against you.  If those factors weren’t bad enough, here’s another nugget of inspiration for you,

“You’re probably digging the hole, jumping in, and burying yourself.”

The good news is when you stop digging, your competition will become less relevant, and your customers will fuel your growth instead of consuming your cash flow.

 

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