While the transformation to a data-driven culture needs to come from the top of the organization, data skills must permeate through all areas of the business. Rather than being the responsibility of one person or department, assuring data availability and integrity must be a team sport in modern data-centric businesses. Everyone must be involved and made accountable throughout the process.
With the release of Yellowfin 8, we launched our new Stories feature. It was supposed to solve a cutting and pasting issue, but we discovered it solved a problem far bigger than we knew existed.
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
