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.
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?
Digital transformation is at the core of keeping a business competitive. Relying on the old formula of people, processes and technology alone doesn’t work. Organizations must now embrace the fourth pillar of digital transformation—data.
Whether it’s siloed information lacking in insightful connection points, massive quantities of data too daunting to process, or negative past experiences, key decision makers are making moves based on gut instinct rather than facts.
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.
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 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.