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She Loves Discovering Data

The Yellowfin team spent their Wednesday at the She Loves Data event in Melbourne. It was brilliant. If you’re not familiar, She Loves Data (previously called Data Girls) is a data analytics initiative, that focuses on teaching and encouraging women to learn about data, technology, and analytics. They hold regular workshops for women in 6 different APAC cities to build a community for them to come together to learn, connect with each other, and have fun.

AI will not show the "whole story" if your data is missing chapters

Data is the lifeblood of AI. An AI system needs to learn from data, as well as from humans, in order to be able to fulfill its function. Unfortunately, organizations are already struggling to integrate data from multiple sources to create a single source of truth on their customers, products, or other data. AI will not solve these data issues, it will only make them more pronounced.

How modern is your data warehouse? Take our new maturity assessment to find out

As more and more businesses turn to advanced data analytics to help them make smarter decisions, run real-time analytics, and improve business operations, an increasing number are modernizing their data warehouses to make it all possible. For many businesses, knowing how to modernize means understanding where their data warehouse sits on the spectrum between traditional and cutting edge. To help, we collaborated with TDWI to offer the data warehouse maturity assessment.

Fantasy Football

Remember that feeling right after your fantasy football draft, when you were certain that you had just drafted the championship team? Fast forward to the close of fantasy football week eleven, how is that team looking now? For me, I am battling for one of the last playoff spots in my league and I am holding my own in daily fantasy football – never quite playing the perfect combination of players.

Scaling Interactive and Insightful Dashboards with Data Studio and BigQuery (Next Rewind '18)

Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries piling up with repeated viewing and result in significant costs in BigQuery. Google Data Studio lets users build interactive shareable data visualizations using their BigQuery data.