Big Data & Data Science

Bridge Consulting has a team dedicated to designing Big Data solutions and collaborates with the National Research Council and the University of Pisa to design innovative new algorithms.

The emergence of new frameworks for statistical calculations and machine learning, in addition to new tools for calculating parallel distribution, like Hadoop and Spark, as well as the availability of highly parallel infrastructures both cloud-based and on-premise, has led to a new category of software applications, known as ‘Big Data Analytics’ platforms.

‘Big Data Analytics’ applications are able to process quantities of data that were unimaginable in the past, and to apply statistical algorithms and machine learning to this data to a great level of detail.

This allows you to enhance your business data assets by making them more usable, discoverable and viewable, making predictions or revealing hidden patterns and correlations in time to perform evaluations and corrective actions.

PROPOSED SOLUTIONS INCLUDE:

  • Designing and creating corporate Big Data Analytics platforms
  • Knowledge Management and research systems
  • Data analysis over time, seasonal adjustments and automatic identification of anomalies
  • Analysis of consumer behaviour
  • Ad hoc thematic analysis and innovative KPI definition

CORPORATE KNOWLEDGE MANAGEMENT

Bridge has developed a search engine that can capture information from both structured (relational databases) and unstructured (text, spreadsheets, e-mails, paper documents, etc.) sources, presenting it to the user with multi-modal interfaces: ‘google like’, tables, graphs and charts. The system, leveraging on the world’s big data technologies such as distributed and parallel computing, database sharding, and specific text indices, allows for the acquisition of an entire business dataset, Procurement Logistics scaling as the quantity of managed data increases, without the limits imposed by storage and performance constraints of traditional architectures.

The system searches and analyses the entire business dataset horizontally, breaking down the silos of information and allowing cross-functional complex analysis and showing detailed information and statistical analysis of data in the same simple and dynamic manner.

The entire body of corporate knowledge, documents and structure, becomes accessible through a single dashboard that can guide an ‘ inexperienced ‘ user toward the information they seek.