At a high level, the Person Entity (PE) Project is essentially a database of everything applicable to a Person. This includes every kind of person – pre-applicant, applicant, admit, student, alum, donor, faculty, staff, etc.
Data exchange (sharing and compiling data) between industries is on the rise, meaning this trend is set to continue. The sharing of this intelligence represents an opportunity for some companies to better understand their audiences and improve customer experience, and for others to unlock new revenue streams.
Making a success of big data analytics is a bit like constructing a skyscraper. Foundations need to be laid and the land prepared for construction, or else the building will rest on shaky ground. Download your free book, "Driving Growth & Innovation with Big Data" The success of any analytics project depends on the quality and relevance of the data it’s built upon. The issue today is that companies collect an exponentially large volume and variety of information in many...
By using graph technology and the data you already have on hand, you can discover fraud through detectable patterns. Here we show you five examples of real problems and how graph technology and data are used to combat them.
Interactive data lake query at scale is not easy, but it's essential for truly understanding the value of your data. In this article, we’re going to take a look at some of the problems you need to overcome to make full productive use of all your data.
GDPR is fast approaching – May 25, 2018. And the implications for big data are, well, big. Essentially, GDPR is a regulation intended to strengthen and unify data protection for all individuals within the European Union, and it applies regardless of where the company is located.