When a business user discovers inaccurate information in a report, it's up to the BI team to figure out what went wrong. BI traditionally must manually reverse engineer the data in the report to try to understand how exactly the bad data landed in the report. Not anymore.
It shouldn't take a cell phone company (or any company for that matter) a month to explain why your bill seems much more expensive than it should be. With an endless amount of data in multiple systems, it's up to BI to make sure they are handing over trusted data to the business.
BI & Analytics teams share just how much easier their work has become with Octopai automated BI intelligence platform. Automated data discovery, data lineage and business glossary all in one comprehensive platform.
Now more than ever, companies need to rely on accurate, trustworthy data to make smart business decisions. This has become more challenging now that everybody is working from home. Find out how Octopai enables BI teams to work remotely, successfully.
Are you struggling to find and understand your data quickly? What if it were possible to see a complete data lineage map in seconds? Do you need a way to get IT and the business to speak the same language? If so, be sure to watch this demo of Octopai's BI Intelligence platform.
Break down the walls of dictionaries vs. glossaries. Find out how Octopai's automated BI Intelligence platform fosters real collaboration between tools and teams by providing complete visibility of the data flow.
Watch this webinar and learn what a business glossary is and why it's needed, how the automated business glossary tames BI chaos, and how organizations can ensure company-wide consistency with an automated business glossary.
Implementing a data governance project can be a huge undertaking. HUGE. Just think about how many reporting tools you have and how much data mapping needs to be done in order to get started. Find out how automation can greatly lighten the load.
Bob Seiner of KIK Consulting and TDAN.com, and Gal Alon of Octopai discuss the whos, whats, whys and hows of automating and leveraging your metadata environment to successfully govern your organization’s data.