Analytics

At Qlik, we have a saying that an angel loses its wings every time data is exported to a spreadsheet. Don’t be responsible for an angel losing its wings.

As enterprises amass terabytes of complex data, they need tools to house and make better sense of their information. This is why we’ve built BigQuery, to help data analysts deal with large datasets. But not all of us are data wizards. Many of us use spreadsheets to perform ad-hoc analysis.

The energy industry supplies electrical power to consumers from a variety of sources, including gas-based and hydroelectric plants, as well as nuclear and coal-based power plants. As temperature, economic and political events occur along with changes in demography, preferences and technology, shifting demand and supply interact to form prices in competitive energy markets.

Technology continues to rapidly transform every industry. The world of BI and analytics is no different. We’ve shared five predictions every data leader needs to know about in 2019, but there were five more we couldn’t leave out. 6. Semantic models make a resurgence

Since announcing our new interface back in July, our goal has been to make it easier for BigQuery users and their teams to uncover insights and share them with teammates and colleagues. Whether you’re a veteran or brand new to BigQuery, we wanted to highlight some of the major improvements we’ve made to the interface in the past five months. Some of this functionality was previously available in the classic UI, while other elements are totally new. Let’s take a closer look.

As a key part of Yellowfin release 8, we recently introduced Signals. Signals delivers automated alerts to users about critical changes in their business. We’ve been using the product internally and have learned four things about how Signals can be used within your organization.

Ever been frustrated by someone having all the answers then realising they don't know why those answers are right?