Big Data Pro Essentials
Strategic Approaches to Business Intelligence and Data Analytics
Just because you can do something doesn’t mean you should. Today’s data-gathering capabilities must be used with care and consideration to prevent the creation of a heap of useless information.read more
The goal of BI should always start with the business and serve the business. And all metrics have to be flexible enough to accommodate the BI solution that the business actually needs, rather than the one that’s easiest for an analyst to create.
By leveraging innovative data lake technologies, organizations can quickly and effectively take advantage of technology such as Hadoop to build powerful, agile, and insightful analytics platforms.
Companies capturing and analyzing machine-generated data, and formalizing an approach for IoT analytics, are finding themselves far ahead of the competition.
Using a cloud-only or hybrid analytical environment carries strong potential benefits that can be brought out in a variety of different ways.
According to recent research exploring companies that use Internet of Things (IoT) data frequently, quicker and richer decisions are being made by leveraging this data.
When analyst Mike Lock attended Inspire 2016, he came away with one big question: Why do people hate their data?