Informationalities was created to analyse the complexity of an organisation’s employees’ behaviour: enabling executives and managers to see what is going on in their organisation – including what’s invisible. This allows them to analyse hidden problems and deal with them before they affect the organisation at the system level.Informationalities has developed its own multidisciplinary behavioural scientific diagnostic techniques along with a machine learning software platform to allow automatic, continuous, and seamless human behaviour analysis of the organisational data and content. This provides the leadership with datasets.

Combining 25 years of experience in leading edge IT, data scientific and business data analysis, Data Science and Analytics Limited helps business to develop their data into a core strategic asset.By helping companies to consider their data as an ecosystem - it’s interaction with the company’s internal (& external) functions - Data Science and Analytics Limited helps business gain a deeper insight into their competitive environment, their investment opportunities and even their own internal functions. Therefore, companies can better predict future trends, realise value from their analytics, and attain growth.Data Science and Analytics Limited experience is truly multi-dimensional, working with a huge variety of data sources from the very large (UK-Wide Utility billing, sales, and addresses), to the very fast (bank transaction processing). Its experience ranges from Business, Utilities and Healthcare, right through to the Environmental sector.Data Science and Analytics provides complex data & data science consultancy support to not only provide the enterprise Data architecture but to provide strategic and tactic data consultancy.• Providing a central contact for senior management and business sector stakeholders and both internal and external IT service suppliers of solution elements• Advise on the adoption of best practice in data use, across the enterprise, to meet rapidly changing demands during the transformation process.• Serve as an advocate for the use of enterprise data, strategy, and services in the organisation to encourage innovation in working practices together with an open communicative culture.• Provide Training, mentoring and guidance to permanent staff tasked to manage enterprise data after the transformation program completes.• Working with project managers, delivery teams and suppliers in a governance capacity validating the implementation against the architectural principles and target architecture.