Clear data visuals are among the most powerful tools a foundation or nonprofit can use to communicate progress, inform decisions, and build trust with stakeholders. A successful chart shows at a ...

According to Gartner Peer Insights Reviews and Ratings, Microsoft (Power BI), Tableau, and Qlik are frequently the industry leaders in analytics and business intelligence platforms. However, how do ...

Data can feel overwhelming, can’t it? Whether you’re staring at endless rows in a spreadsheet or trying to piece together insights from scattered sources, making sense of it all can seem like a ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

You probably already have all the data, readily available, waiting to be viewed. The problem might be the tool to turn that data into maps, charts, graphs and tables. What software should you use? You ...

Marketers love a good line graph that goes up and to the right, but with overwhelming data, graphs alone can’t communicate complex data effectively. A good data display should do more than convey ...

I have been meaning to write about Grafana for years. I started a half-dozen articles on it but ended up abandoning them because I couldn't get it to do a relatively simple task: making a graph from a ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

Picture this, you're waist-deep in recruitment data - metrics, ad spend, and retention rates - and all you see is a whirlpool of figures and stats. How great would it be if this chaotic jumble could ...

Enterprises today collect unimaginable amounts of data. But if data is raw, enterprises cannot utilize it to its full potential. Data wrangling helps turn this raw data into valuable data for the ...