article thumbnail

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3] To learn more about Creating an End-to-End Infrastructure for AI Success , read the IDC white paper and visit Dell.com/AI.

Analytics 133
article thumbnail

Self-Service BI vs Traditional BI: What’s Next?

Alation

A Short History of Business Intelligence. Modern business intelligence starts at the dawn of digital computing. Reports required a formal request of the few who could access that data. The expense and time required to create reports from transactional data sources including mainframes and minicomputers.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AI vs. BI for Business, What Do You Need?

Jet Global

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

article thumbnail

The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

article thumbnail

The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

article thumbnail

Beginner's Guide To Web Data Analysis: Ten Steps To Love & Success

Occam's Razor

I want to share where in your web analytics data you can find valuable starting points, even without any context about the site / business / priorities. Reports to look at, KPIs to evaluate, inferences to make. Note objectives, customer experience, suckiness. Note objectives, customer experience, suckiness. Let's go!

Reporting 139