Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’ objectives. Siloed approaches are becoming

Following the success of our Creating Data-as-a-Service Products at Data Natives, Elizabeth Press from D3M Labs and Dataconomy are joining forces to give your organization the opportunity to jump start your next innovative data product. Contact us to book a training specifically designed for your organization. Even though analysts publish optimistic

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