Systems | Development | Analytics | API | Testing

The 3 things you need to create a data culture

I love data. I live it, I breathe it and I get excited about it. Recently, I started thinking about what creates a data culture when I read the Big Data and AI Executive Survey 2019. It said that 72% of respondents were yet to forge a data culture. While every business uses data in some form, they don’t all use it to truly understand the dynamics of their business and make strategic decisions.

This year has been a game changer for Yellowfin

The launch of Signals has been a complete game-changer for us this year. Yellowfin is doing something completely unique in the marketplace and we’re winning some great deals because of it. Signals is an automated data discovery product that delivers alerts to users about critical changes in their business. It’s not about dashboards - this is a completely different way of consuming analytics.

Data Pipelines and the Promise of Data

The flow of data can be perilous. Any number of problems can develop during the transport of data from one system to another. Data flows can hit bottlenecks resulting in latency; it can become corrupted, or datasets may conflict or have duplication. The more complex the environment and intricate the requirements, the more the potential for these problems increases. Volume also increases the potential for problems. Transporting data between systems often requires several steps.