INFORMATION MANAGEMENT

The digital context produces an enormous quantity of different data.
Our approach, specialized in data analysis, aims at efficiently managing information, which is a recognized driver for innovation. We support companies and CDOs (Chief Data Officer), to identify the correct strategy on data and the most suited technology.

We work on Data Quality, Business Intelligence and development of architectures oriented to Big Data analysis, applying the most innovative technologies.

 

Key basics:

TRIAL

to identify the potential of the acquired data and extract the value useful for business

SEGMENTATION

of customers, processes, products and services, by applying a new logic

DATA VISUALIZATION

to use information in a simple, quick, intuitive and dynamic way

INNOVATION

to create value from information, creating new business and relationship models

Business Intelligence

Business Intelligence

We have experience in “working out data”; we are able to thoroughly analyse information, by evaluating its origin and intrinsic characteristics, with high sensibility toward the analysis requirements specific to a single organization area.

We apply B.I. tools which facilitate the continuous evolution of information management, and implement always new and different views and reports built to meet business and management specific requirements.

The reporting system becomes an efficient and usable system for controlling the most important KPIs, through dynamic dashboards or reports in different formats (e.g. excel, pdf, power point, etc.), which make it quicker to come to decisions.

Big Data & Analytics

Big Data & Analytics

“BIG Data in action” is our approach specialized on Big Data, aimed at extracting the data hidden potentiality and developing value added services, by using the power of information.

First of all, we design and implement the technological infrastructure which becomes the central point for every business or IT requirement bound to Big Data analysis – and not only.

Data quality, data fusion (providing aggregated information from indipendent data) and analytics become levers to extract value, develop one-to-one services, and monitor processes in predictive logic.

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