You've probably noticed there's A LOT out there for Business Intelligence Tools. We're constantly being asked, "what sets Dundas BI aside?" and "how do I evaluate BI vendors in general."
The search might be a bit overwhelming if you are beginning to evaluate the plethora of Business Intelligence Tools on the market today.
There are many ways to add users to Dundas BI, depending on the scenario you find yourself in from an integration perspective.
Users often want to know how Dundas BI works and what is happening behind the scenes.
Reporting usually refers to financial reports, Quarterly Reports for the Board where high-level information about the entire company is presented and detailed information that historically got printed and achieved.
It's no surprise that people would have the goal to provide an easy user experience as historic BI tools have not exactly been easy to use in the past.
If your organization is collecting a large amount of text-based data, it might be worthwhile to perform machine-based sentiment analysis to help make sense of, and measure these values.
Believe it or not, there are still quite a few businesses that do not own any Business Intelligence (BI) Applications. Companies may not have BI because of a past failed experience, or sometimes they just don't see the benefits.
There are many ways to implement embedded dashboards, and it's good to understand the breadth of what is available before you dig in and attempt your own implementation.
The last thing you want in a Business Intelligence tool is a limitation regarding data connectivity.
There's a common ask when users are looking for multi-tenant Business Intelligence.
When you're looking to have advanced analytics, live web-based data, and generally unlimited customization - having Python in your Business Intelligence software is going to fill this need.
Why purchasing an entire Business Intelligence (BI) software suite outright is usually a better option.
Learn how Dundas BI manages enterprise use through functionality like version control, revision history, and change management in general.
When it comes to using a Business Intelligence (BI) platform, typically, a company will fall into one of two scenarios regarding the usage of these platforms.
What-If Analysis is the idea of changing input values to see the outcome of your data based on given adjustments.
It's time to stop thinking about Business Intelligence as a cost, rather than a way to save or make money.
Predictive Analytics is an often talked about feature in Business Intelligence.
Predictive Analytics is one area of Business Intelligence (BI) that users tend to have very high expectations about.
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