Analysis is easy. It’s rational and straightforward. Understand the relatively linear set of steps for populating an analytic model and you’re set for success. Finding insights is the part of the data process that is hard. It requires the non-linear skill of interpretation. Interpretation is inexact, it requires judgement and

Elizabeth Press from D3M Labs and Data Natives are joining forces to give you the opportunity to jump start your next innovation in one day during our 1-day workshop on October 26th  Creating Innovative Data-as-a-Service Products. What is Data-as-a-Service? Data-as-a-Service (DaaS) can be described as productized data-driven insight on demand.

With over 20 years growing and leading technology companies, Frank Bien built his career on nurturing strong corporate culture and highly efficient teams. Prior to Looker, Frank was SVP of Strategy for storage vendor Virsto (acquired by VMware) and VP of Strategic Alliances at big-data pioneer Greenplum, leading their acquisition

As of last week, the team of STORM was in China – being treated as movie stars, with young students fighting to take a selfie with the motor and the team, and several autograph sessions. The CAN data cannot be sent these days due to internet restrictions, and our analytics

Thinking about going the cloud-route for your big data analytics strategy? You’re not alone. Suddenly, the cloud has become a hot topic in the analytics software world and in particular big data analytics. While customer relationship management (CRM) software and other applications, like payroll and expense reporting, have steadily moved

Few things in technology outside of catching Pikachu on your iPhone have been hyped as much as big data. However, with any trending topic, new technology or invention that’s being called the “wave of the future,” it’s important to look past the hype and analyze what’s actually going on. Outside

Self-service analytics has become quite the buzz word recently. As organizations look to become more data-driven, the promise of self-service is certainly alluring: the ability for all users, regardless of their role or skills, to analyze data and make smarter decisions. And even though self-service analytics tools have become increasingly

Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data

Whether you run a small business with just a few employees or you are in charge of a multinational corporation, you can benefit from an effective big data strategy. Thanks to website analytics, geo-location services, data mining, and the constant stream of data flowing to and from us through everyday

Business intelligence has come a long way in the last 20 years. From its humble beginnings as a marriage between Excel and complex SQL queries to the latest user-friendly self-service functionalities, BI software has become the go-to resource for analytics and reporting. However, there’s still a gap in what companies