Forward-thinking PMOs recognize the need for project decisions to be supported by data. Here's what you need to know to become more data savvy in driving better project outcomes.

Worldwide revenues for big data and business analytics is expected to grow to more than $187 billion by 2019 and the project management industry is projected to hit $5.81 trillion by 2020.

Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

Advantages Offered by Graph Analytics A key advantage of graphs is the ease with which new sources of data and new relationships can be added. Graph databases using Resource Description Framework ...

In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.

DXCs career navigator uses a combination of a Neo4j graph database and the Neo4j Graph data science library. Combined with a similarity algorithm, not dissimilar to the algorithm Netflix uses, to make ...

As the graph data model is well understood and also shared with many other solutions, let’s examine the actor model and standing queries. Computation in Quine is built on the Actor Model using Akka.

Improvements in graph analytics by integration of Artificial Intelligence (AI), Internet of Things (IoT), and blockchain and increasing need for businesses to make data-driven decisions, optimize ...

In its latest investment to fill out offerings for project data management, software giant Autodesk has acquired construction technology firm Pype, maker of the Pype AI-analysis and project ...