CINECA, Data Analytics consulting 

Data Analytics consultancy can cover any phase of a data value extraction process. Main consulting areas are: data acquisition and integration, data anonymization, data exploration and transformation, semantic metadata generation, machine learning, deep learning, data visualization, computer vision, natural language processing (NLP), data workflows implementation and management.

This service aims to facilitate the application of Data Analytics methods and best practices and their uptake by the companies. A Data Analytics consulting service is requested whenever a data application (or part of it) has to be developed, whereas the Cineca Technical consulting service is mostly involved when an application (or part of it) has already been developed and needs to be adapted to run on HPC/HPDA resources to improve performances or scale up.

Depending on the level of expertise of the customer, Data Analytics consulting may be limited to the suggestion of the most suitable tools, or to the implementation of a specific phase in the data analytics process (e.g. Machine Learning), up to the implementation of the whole process of data value extraction (business understanding, data acquisition and exploration, quality assessment, data transformation, visualization and analysis, model building, model evaluation, deployment).

This consulting service is cross-domain and over heterogeneous data sources, comprising textual, audio and video data. The service model may include training and collaboration on projects (co-development).

In particular, customers are supported in the pre-processing phase with anonymisation techniques, outlier detection, missing data estimation, features extraction, dimensionality reduction, structuring and cleaning data.

Support in the data analytics phase is provided through (guidance in the) application of clustering techniques (partitioning methods, hierarchical clustering, fuzzy clustering, density-based clustering, model-based clustering), association rules, sequential patterns, graph analysis, predictive modelling (decision trees, random forests, neural networks, DNN, KNN, SVM, naive Bayes, regression, regression trees, symbolic regression), econometric models, production of indicators, text mining, semantic annotation, keyframe extraction, speech recognition, image classification. Support is also provided in visualization, interactive virtual environment creation, rendering.

Users that need to extract value from data in any domain and need to be supported with data analytics competences.

Analysis of audience data for broadcasters (RAI – Italian Television Company)

Access to computing and storage resources, access to datasets, technical consulting, data analytics service.