Data is an incredibly valuable resource for organisations; however, its full value is not being realised. Our data analytics product enables organisations to derive value from data as a strategic asset, across the data lifecycle.
- As societies and organisations move towards increasingly connected and smart systems and devices, effective analysis and visualisation of data is key to achieving the stated benefits.
- As a trusted partner to some of the UKs most challenging data environments, Leonardo is best placed to help implement and manage effective solutions throughout the whole data lifecycle.
The Impact of Big Data
Big Data can support the development of government, industrial and commercial strategies. Large volumes of structured and unstructured data including voice, text, video etc are collected at an accelerating rate, and the exploitation of this big data and digital platforms can provide actionable insight etc.
Applying Big Data Expertise
Leonardo has significant experience creating digital infrastructures to support our high technology design, build and manufacturing capabilities. We gather knowledge and insight from data to support multiple domains including cyber and physical security, law enforcement, critical infrastructure, defence and intelligence.
Our pioneering big data solutions use open source and commercial technologies, appropriate to each scenario, enabling us to systematically extract actionable insight for our customers from the vast data sets they capture and own. This has seen us supporting policing, helping defend highly sensitive government networks using state-of-the-art techniques, and processing large-scale imagery using machine learning.
Delivering Value Through Big Data Solutions
As world-leaders in this field, Leonardo’s bespoke big data solutions allow our customers to manage their datasets alongside flexible, open and highly effective analytics tools. This enables them to explain, repeat and justify any outputs of the automated algorithm so they can robustly underpin any action required.
