One question that I’m often asked is ‘how do I justify funding for a BI project?’ The answer I give is that to win funding you need to stop thinking about BI as a project.

Every now and then you can't beat a bit of Meat Loaf, the singer not the food, as I've not had the pleasure to taste it. I recently found myself recalling a cult classic "Standing on the outside" not because of any failed break up but thinking about the abundance of data available externally that can be used in combination with your internal data. Unfortunately, many are still leaving this data standing on the outside.

Here is how Charles Drengberg built a simple client communication hub in WordPress that allows clients to check the status of their marketing at any time.

Since the release of Talend 7, a major update in our software, users have been given the ability to build a complete integration flow in a CI/CD pipeline which allows to build Docker images. For more on this feature, I invite you to read the blog written by Thibault Gourdel on Going serverless with Talend through CI/CD and Containers.

Realistically speaking, how many times do you redownload an application that’s buggy? Unless it’s a hugely beneficial app, which one might begrudgingly use (off the top of my head, I can’t think of any that aren’t replaceable), users tend to just switch to an alternative app that does the same thing — sans bugs.

Recently I watched a video by Mico Yuk where she explains her approach to BI storyboarding. Mico Yuk is well-known in the BI space specifically around SAP and Lumira. She runs her own consultancy predominantly helping SAP customers build out BI projects for their own internal use cases.

Creative Dock is a Czech startup studio where ideas for new businesses are born, and under their management these ideas become fully-fledged companies. As a client Creative Dock, therefore, represents several clients from different sectors with different needs. A client like this can be a tough nut to crack. When we won the proposal for Creative Dock it meant implementing several tools at a time, and we knew we were in for a rough ride. But we like a challenge.

In this blog post, we’ll share more on how we built the BigQuery Ethereum Public Dataset that contains the Ethereum blockchain data. This includes the primary data structures—blocks, transactions—as well as high-value data derivatives—token transfers, smart contract method descriptions.

Now you can visualize your performance data with fewer clicks and in less time than ever before.

Yellowfin has always been a data-focused organisation. But for far too long our finance team has relied on Excel as their core mechanism for analyzing our business. Recently, that’s changed at Yellowfin thanks to our new CFO, Keith Bold. Keith really understands the power of data and wanted to empower the finance team to join the rest of our organisation who use BI every day.