Learn how BI & Analytics teams are moving from single-capability tools to a comprehensive automated BI intelligence platform that comprises data lineage, data discovery and a business glossary to get the full story on their data, and deliver faster and more accurately to the business.
In this webinar, we examine the real-life daily struggles and frustrations plaguing the data supply chain and discuss how these struggles can be eliminated (hint: it’s automation). The webinar also covers the fascinating insights from our recent survey conducted by Dataversity.
What does commission mean? What is an address? Is that a shipping address or billing address? In order to answer these types of questions, you need a business glossary - but that takes too much time and manual work. That is, until the Automated Business Glossary came along.
Migrating BI systems is no simple feat and requires endless amounts of manual work in order to lay the groundwork for an efficient migration. Hear how automated metadata management is a game-changer in this tedious process.
An insurance company had to implement a small (but actually HUGE) change in their system related to license plate numbers that they projected to take 7 months to complete. Hear how automated metadata management helped them do it in 3 days.
Hear real use cases of BI & Analytics teams who are leveraging metadata management automation on the cloud while working remotely - and delivering quickly and accurately, even under these extraordinary circumstances.
Most will agree that a Business Glossary is a critical document to keep everyone in the business on the same page. But organizations rarely end up building a business glossary as it can be an enormous undertaking. Automation changes all of that.
When the figures in reports don't match up, it's up to BI to figure out what went wrong. When it comes to how many deals were closed in a quarter, wrong figures can be costly - and finding the error is extremely time consuming. Find out how automation can find the root of the error in seconds.
Automation eliminates all of the manual work of impact analysis -something that usually takes hours, if not days or weeks to do when you make a change in an ETL process. Find out how Octopai's BI Intelligence platform is changing the way BI does impact analysis.
Octopai CEO Amnon Drori discusses the need for automation in the business intelligence sphere and what led Octopai to pioneer the technology to enable BI & Analytics teams to cope with serving the business as the amount of data within an organization grows exponentially.
We looked at the problems in the world of BI and analytics. When we look at the practice in the past five years, we've learned three things. Watch the video to hear our insights.
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.
