Data visualization is the cornerstone of building data analytics capabilities for faster, more accurate decision-making and enhanced forecasting. If you are primarily a dashboard consumer rather than creator and frequent data analyst, this data visualization primer is for you.
Tableau Desktop 2020.1 was recently released, and it may be the greatest release since Hyper. This one is packed full of features both practical and salesy that viz developers have been clamoring for.
Tomorrow, February 4th, the latest Chrome update (v80) will make a significant change in how the browser handles cookie security. We want to make sure our clients and fellow developers are aware of this issue and know how to solve it.
Having company data but no way to dissect and understand it is just words and numbers jumbled on a screen or piece of paper. Well-planned dashboards are created in an effort to quickly and effectively understand data. The key phrase here is well-planned.
With data analytics playing a larger role in business performance each year, the ability to visualize results has become a useful skill for anyone looking to share the results of their work or anticipate future outcomes.
We’ve covered six ways to create effective dashboards, but it’s also important to discuss common mistakes. Why? To help you prevent having to fix issues later. Even knowing best practices you could still miss simple mistakes that should be avoided for your dashboards to be effective.
With data analytics playing a larger role in business performance each year, the ability to visualize results has become a useful skill for anyone looking to share the results of their work or anticipate future outcomes.Knowing which pitfalls and mistakes to avoid can make your visual reporting more impactful and helpful for your audience.
Around the Onebridge office, we have a lot of love for tools like Power BI because they allow businesses to use their data as an asset, and that’s what we’re all about. Stick around for a moment and let us give you a short introduction into the power of this tool.
It’s important to understand the various types of data analytics so you can identify where you are on your journey to data literacy and analytics empowerment.
There are so many amazing stories about data making life better, we don't want you to miss out. Check out our most recent favorites.
Power BI can not only import data from a variety of sources--it can even help with cleaning and formatting the data it pulls. But how easy is it to do this?
Every business should consider these options when building a mature data strategy. We’ve compiled the most important info about all three for your consideration.
Learn how to use Microsoft Power BI's variety of data visualization options to share powerful data insights with your team.
You’ve got your sources loaded and have started building visuals and exploring your data in Microsoft Power BI. Now it’s time to take your data analysis to the next level and start looking at your data with fresh perspectives.
Now that you’ve spent some time with visualizations, the most important step is sharing with your team. Power BI offers several customizable ways to share and collaborate on your reports.
Learn how to get your data loaded into Tableau so you can begin searching for valuable insights.
Learn the basics of how to explore and analyze data in Tableau.
Check out Tableau's options for easily finding interesting data points and focusing on specific results.
How exactly do providers work to deliver more preventative and cost-effective care? Learn more about enabling a data-driven population health program.