Every stage of a network’s lifecycle, from planning, rollout, to maintenance and restoration, needs to be built on solid data from multiple dimensions. This includes data not only from the services ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

We evaluate the effects of data dimension on the asymptotic normality of the empirical likelihood ratio for high-dimensional data under a general multivariate model. Data dimension and dependence ...

Dimension Data had moved to what was then a new development which is now the hub of major tech firms, the Wynyard Quarter in Auckland. Gillespie returned to Dimension Data in May.

We are stuck with an antiquated two-dimensional integration and implementation model which assumes that before value can be realized, we need to get components of that value into a more stable and ...

A flexible two-dimensional model was fitted to a collection of life tables from the Human Mortality Database. The model can be used to estimate full life tables given one or two pieces of information: ...

Part of the NTT Group, Dimension Data has a distinguished history of providing organizations with the multi-faceted IT solutions and services they need to address business imperatives, whether it ...