Onebridge congratulates Alteryx for being named a Challenger in Gartner’s 2019 Magic Quadrant for Data Science and Machine Learning Platforms. This is the sixth time in a row that Alteryx has been recognized in this Magic Quadrant.
Technology continues to advance at a record pace – autonomous cars, a 5G Super Bowl Broadcast, cognitive services available in all major cloud providers for anyone to use, the list goes on. So why in the year 2020 do we still see such a gap in how we collect and manage polling data?
What makes your data valuable? What are the obstacles preventing rapid time-to-value? How do you truly achieve rapid value from Business Intelligence (BI) and Analytics? If you have found yourself asking these questions about your organization’s data, you are not alone.
The agile approach to software development focuses on delivering incremental value to customers in quick iterative product creation and enhancement. Agile methods push developers to gather feedback constantly so that they maximize the benefit of their efforts and minimize waste – rework and failed adoption by users.
Consulting firms charge $250 per hour to tell you what you already know, stating what you should do, and then they hope that because they confirmed your suspicions of replacing the 40-year-old-COBOL system that you’ll buy the execution as well.
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.
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.
Have you run across data-related terms that weren’t clearly defined? Do you want to understand more about the key components to building a data strategy? In this post, we’re focusing on Master Data Management (MDM).
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.
In this guide, you’ll find core information about data integration that any business user should understand before planning a data integration project.
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.
Learn how to drive a culture of quality throughout your entire organization.
Imagine your organization gaining insights with intention and involvement, making evidence-based decisions, and using data to unleash the potential of your people.