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Cadeon's Blog

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Why breakup with Excel and adopt a professional Analytics solution

Why does it seem so difficult to get accurate complete information? Data Insight isn’t just for large companies or at least it shouldn’t be. You don’t need to have a team of specialists either. It is quick, easy and only 2 steps to insight.

What Is Business Analytics And Why Use It?

The terms BI or business intelligence, Analytics, Visual analytics, data insight and many others are often interchanged and confusing, to both beginners and seasoned business users. To further add to this, businesses that are not currently using some sort of data analysis, aren’t sure why they need to start.

The Story of How Data Virtualization Became Data Virtualization

From time to time, we at Cadeon feel there might be some good or interesting articles, news or information that we want to share with the broader data community. We are passionate about helping our clients with their data challenges and with that we are continually searching for solutions that make a positive impact in a quick and cost-effective manner.

Oil & Gas Data Analytics Solutions

Successful oil and gas exploration and production require complete information access and analytics drawn from many disparate sources, which often reside in separate silos and can be challenging to accommodate. For example:

TIBCO is officially ending support for release 7.0.x and prior versions of the Spotfire product family

Cadeon is working with Spotfire clients to help them plan and upgrade to the latest Spotfire release. Now that TIBCO is officially ending support for release 7.0.x and prior versions of the Spotfire product family, it is important to understand the implications of this. More importantly, to see the opportunities this can bring to organizations with new features and functionality.

Predictive Analytics: Shifting To An Advanced Analytics Driven Business

Most can agree that you should care that you lost a customer and want to learn why you lost that customer. Yet, many businesses still struggle with addressing this problem. A solution is moving from diagnostic analytics (trying to figure out what already happened) to predictive analytics (trying to figure out what will happen).

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