Clients

Travel and Tourism

As the planet becomes more connected tourism offerings similarly become more orientated to their consumers, yet the pandemic has severely stressed this sector. Working closely together there are critical data components which, when shared, improve all the participants business models and the tourists experience. Examples might include analysis to predict volumes and type of tourists for destinations and identification of the variables which matter most.

FINANCIAL SERVICES

Growth in new and current markets. products and customer segments needs careful planning using deep insights so that resources are targeting the most fruitful areas. Financial services clients including funds, trust companies, banks, insurance and others can benefit from data trusts. Example are regular reports and market segmentation analysis to look at global investment and spending and risk factors.

RETAIL

Retailers are needing to be nimble to respond to peoples online and offline needs and requirements. It’s a competitive environment and data breeds confidence in high speed decision making environments. Pooling data with others will give competitive edge. Examples are statistics based on transactions at country level, merchant level to inform consumer behaviour and reward schemes.

ENVIRONMENT

The wide geography and intense data collection from IoT can result in exceptional analysis for environmental, agricultural and other land based companies. Combined with other data such as weather, commercial data, and consumer information there are unique opportunities revealed in data models. Examples might include country wide unification of data feeds for predictive analysis.

TElecoms and media

Vast data collections from telecoms networks , communications infrastructure, and media organisations can provide inputs to strategy planning and business growth. When combined with other data sets its value is immense. Examples might include harmonisation of data sets for the purposes of Artificial Intelligence training.

Health

People’s health is personal yet affected by factors, many of which they cannot control, such as their genetic makeup, environment or society. The Coronavirus pandemic has placed health data sharing in the spotlight with politics or geography having an immeasurable impact on outcomes. Data Trusts and Foundations allow organisations to share critical information for data analytics. An example might be a patient’s records to look at large scale impacts to detect, as early as possible, mental health issues and to plan and implement effective interventions.