How we've built successful channel partnerships in Japan

Recently I was in the US and people were just blown away when I told them about the success of our business in Japan. Our Japanese business grew nearly 40% last year and this year is shaping up to be great as well, but it’s not something that has happened overnight. The reality is that it’s tough to do business in Japan and it’s taken us over four years to get it right.

How we've built successful channel partnerships in Japan

Recently I was in the US and people were just blown away by the success of our business in Japan. Our business grew nearly 40% a year last year and this year is shaping up to be great as well, but it’s not something that has happened overnight. The reality is that it’s tough to do business in Japan and it’s taken us over four years to get it right.

The $0 data integration project

Sometime ago, when I was with another software company, I was involved in a large implementation of our software. The deployment required our software to connect with a legacy customer application, so an integration between the two products had to be developed. When the Sales person put together the proposal, he quoted this integration for $0 because “it’s so simple, I could create it myself”.

Yellowfin Named Leader in the Use of Artificial Intelligence and Machine Learning for Business Intelligence

Melbourne, 06 August 2019 - Yellowfin, a world-leading and innovative analytics vendor, has been named Leader by Enterprise Management Associates (EMA) in the research report ‘Innovation in the Use of Artificial Intelligence and Machine Learning for Business Intelligence’. EMA selected Yellowfin as an innovation leader as the analytics suite featured eight of the ten AI-enabled capabilities evaluated in the report and best aligned with today’s customer priorities and pain points.

End-to-end monitoring of HBase databases and clusters

Running real time data injection and multiple concurrent workloads on HBase clusters in production is always challenging. There are multiple factors that affect a cluster’s performance or health and dealing with them is not easy. Timely, up-to-date and detailed data is crucial to locating and fixing issues to maintain a cluster’s health and performance.

Accelerate and Reduce Costs of Migrating Data Workloads to the Cloud

Today, Unravel announced a new cloud migration assessment offer to accelerate the migration of data workloads to Microsoft Azure, Amazon AWS, or Google Cloud Platform. Our latest offer fills a significant gap in the cloud journey, equips enterprises with the tools to deliver on their cloud strategy, and provides the best possible transition with insights and guidance before, during, and after migration. Full details on the assessment and business value are detailed below in our announcement below.