Telecom companies were among the early adopters of location intelligence technology, due in large part to their need for spatial analysis to better understand network coverage and white space....

Organizations are dealing with higher volumes of data than ever before. To make matters more challenging, most enterprises are managing multiple systems, often loosely integrated, each of which has...

In the past few years, data science has benefited from tremendous new capabilities driven by cloud analytics platforms, artificial intelligence and machine learning, improvements in integration...

Business users agree that their first-party data is one of their most valuable assets, but one that is limited without third-party data enrichment. Advanced analytics make it possible for business...

At its core, the insurance industry is about accurately predicting risk, pricing policies to sufficiently cover that risk, and minimizing fraud. Enriched data such as geospatial data adds richness...

Business leaders in the telecom industry are acutely aware of the value of customer data in today’s world. As the adoption of location-aware mobile devices has increased, telcos have moved from...

The telecommunications industry lives at the leading edge of technology change. It comes as no surprise, therefore, that leaders in the telecom sector understand the critical role that data science...

Data analytics is ultimately about the insights you can derive from relationships within your data. In a scenario involving sales analytics, for example, most companies would like to better...

The value of geospatial data continues to grow as the volume of available information increases and data analytics platforms become more performant. For many companies, there is a strong case for...