Five key tips for building the data-driven customer apps that will define the next wave of the customer experience.
Real-time streaming data and visual data discovery are changing the world of BI.
- By Linda L. Briggs
- July 1, 2014
A look at the current issues surrounding advanced visualization, from big data to who needs more powerful features.
- By James E. Powell
- July 1, 2014
Prescriptive analytics using simulation techniques can increase our knowledge and level of confidence in making informed decisions.
When many vendors begin glorifying the same shiny object, you usually can be sure they've found one more way to make you nervous about falling behind your competition. Take big data, for example.
Hadoop has become the preferred choice for big data analytics; it can handle both structured and unstructured data at very high volumes with an unprecedented price/performance ratio. Hadoop's ecosystem advances now also make it suitable for real-time analytics. We explore how organizations can put Hadoop to work to improve operations and gain a competitive edge.
Just because information isn't stored in a database field doesn't mean it lacks structure.
What is decision management and how is it related to advanced analytics? What kind of decisions can be managed (and thus improved), and how can you identify them?
- By James E. Powell
- June 17, 2014
The Sapphire Now event this year was all about simplicity, the cloud, and millenials. That's the message that SAP CEO Bill McDermott wanted to drive home in his keynote. BI, meanwhile, took a back stage to HANA and cloud announcements.