Wil Reynolds talked about How Power BI Can Help You Bust Silos back in 2017. He showed how Power BI is changing every part of his job. You may even remember him talking about Bubbles and boxes. But since Wil’s 2017 SearchLove presentation have you downloaded Power BI and/or another data visualization tool? Well if not, Wil’s slides […]
SearchLove London 2018: 10+ New Ways to Visualize Your Search Data Read More »
When using Power BI for your analyses, you’re bound to create a few dashboards that you really love and use often. You can streamline your process and standardize your reports by creating templates that give you the ability to upload different data sources and automatically rebuild your charts and formats in a new, dynamic dashboard.
One of the greatest values of data visualization tools is being to connect different types of data tables to calculate results, illustrate trends, or discover outliers. Relationships between your tables are necessary to create these connections. Relationships in Power BI Relationships in Power BI have multiple configurations, including cardinality and cross-filter direction, which determine the
How to Join Many to Many with a Bridge Table in Power BI Read More »
I’ve been spending a lot of my time working in Power BI lately. Power BI allows me to quickly connect data that would have taken hours of stacking vlookups in spreadsheets. I can find new opportunities looking at the same data through multiple lenses. Power BI is a great data visualization tool to spot things
Amazon recently released their Q2 earnings report, listing what they’ve accomplished in the last quarter. At Seer, we’re continually monitoring Amazon to understand how our clients might be impacted by their expansions into new industries.Here, we’ll highlight where Amazon is most focused on expansion: voice, groceries, fashion, and international*. As Amazon keeps spreading into new
Where Amazon is Headed: A Quick Synopsis from the Q2 Earnings Report Read More »
Getting into data visualization for finding new opportunities and accelerating analysis? Me too! But there’s a few best practices I’ve learned along the way when connecting datasets by URLs. When might you want to connect by URL? Here’s a few outputs I find I’m generally connecting on the URL level where I need to really
