By applying sophisticated big data analytical techniques, we have developed a method for optimizing the customer experience investments that directly drive increased emotional connection and, thereby, greater customer value and financial returns.
Finally, new data analytical techniques are being used in the laboratory to analyze increasingly large quantities of data.
A class of multivariate data analytical techniques called multi-way analysis encompass techniques that have been designed to handle and analyse such data structures directly.
The amount of available single-case data analytical techniques has been growing during recent years and a general overview, comparing the possibilities of these techniques, is missing.
Moreover, we provide a set of recommendations for choosing appropriate analysis techniques, pointing at specific situations (aims, types of data, researchers' resources) and the data analytical techniques that are most appropriate in these situations.
To confirm the modelling data, analytical techniques, including micro X-ray tomography, thermogravimetric analysis and X-ray diffraction were used to study the morphology changes in the PTFE structure of the research samples.
Though the role of big data analytical techniques, platforms, tools are realized among various domains, their impact on healthcare organization for implementing and delivering novel use-cases for potential healthcare applications shows promising research directions.
By using a strategy where multivariate data analytical techniques are used in conjunction with statistical experimental design to select a balanced set of compounds for break-through performance evaluation, it was possible to develop QSAfR models with high predictive capability.
"By using 'big data' analytical techniques we are able to offer a fair, lower cost alternative to people who do not have access to traditional credit".
Although Baidu does not publish raw data on the number of searches, it has built separate indicators on the levels of media and users' attention on a topic by applying big data analytical techniques to the raw data.
