What does a car that drives itself have to do with BI? The connection is stronger than you might think.
I often see two ends of the extreme when I talk to clients who are trying to deal with data confidence challenges. One group typically sees it as a problem that IT has to address, while business users continue to use spreadsheets and other home-grown apps for BI. At the other end of the extreme, there's a
It’s easy to foretell continued growth in big data investments next year. But proper management and governance are needed to derive real business value from all that info.
At Strata + Hadoop World, vendors scrambled to stake their claims in a big data market most analysts believe is still riding a rising tide of hype.
SiSense is taking its pitch directly to business users -- much like insurgent BI specialists QlikTech and Tableau did half a decade (or more) ago.
Thanks to big data and self-service BI, enterprises might finally be getting serious about data governance.
Big data is about mixing, mashing, and commingling all kinds of (seemingly unrelated) information together. This has big implications for BI and data warehousing.
Organizations implementing agile methods have to ensure that project schedules allow for enough iteration to enable agile teams to uncover and incorporate new requirements into their applications. Only then will the faster pace of development create a faster path to information advantage.
Expert Don Loden explains the different types of modeling in SAP HANA and how to approach building data structures that will support maximum performance at all levels within SAP HANA.
The advantages a large enterprise has over a small company are typically well understood: a deeper and more diverse pool of internal skill sets, greater potential for CapEx to support the business, etc. However, larger organizations often suffer from a phenomenon that small companies can avoid simply because of their size – the closing off [...]