
Four Data Capabilities for Telecommunications
This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.
This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.
In this post we introduce our new data maturity model, and include a link to the assessment.
In this post, we will look at driving product engagement with behavioral data, as well as building an integrated analytical environment.
The promise of data and analytics for product companies is that they can help you understand usage, and improve your ability to build, deploy, and service products to customers much more accurately and efficiently. In this post, we look at understanding the customer life cycle.
In this post we look at the three components you can use to determine your data strategy’s ROI.
Being data-driven means breaking down silos within organizations, promoting communication, and being deliberate about the data you collect and use. Here are five articles that illustrate how modern organizations are tackling this challenge.
In this post, CTO John Akred looks at the practical ingredients of managing agile data science.
Any technology is only as good as the way in which you use it.
Data strategy matters to both business and tech. It’s a problem that sits in the center of a Venn diagram, and if we get stuck thinking of those two domains as existing solely in completely separate silos, we’ll lock ourselves out of that key middle ground where the really important problems get solved.