Data Monetisation | Euromoney Learning

How to get the best from your Data: Enterprise Value, Strategy and OrganisationData is ubiquitous. Organsiations generate millions of units of data every day. It costs money to create, store and dispose of. There are risks with its custody, it can be a critical determinant in the success or otherwise of a business, and it can be stolen or amended with ease, in some cases without anyone’s knowledge. And interestingly ownership of this critical business asset is not always clearly defined. Businesses are focused on their quarterly targets, and IT is focused on running technology.  For some organisations, ownership, and importantly, maximal leverage of data is either undefined or an abstract responsibility. In the worst case this responsibility only crystallises when there is some kind of breach. The role of the Chief Data Officer is emerging as a champion, albeit to date these remain very much first generation roles, with organisations still testing the ground and opportunities here. Nonetheless, the Chief Data Strategy, Organisation and Monetisation Officer, will be the main protagonist in the next wave of lean organisations emerging from the fourth industrial organisation. 5G, the Internet of Things, wearables, machine learning and AI will demand new strategies for the way data is understood, managed, valued and leveraged. Direct leverage of the mass of data an organisation holds is complicated by legacy IT systems, butting up against new technologies such as cloud, with organisational inertia further impeding the adoption of newer catalysing technologies, such as machine learning. All of this is further compounded the distinctions between data associated with the individual, and the attendant issues associated with privacy, such as GDPR, as well distinguishing between primary and secondary data, and the opportunities associated with other types of data, such as machine, environment and social. Start up organisations have the benefit of a blank sheet of paper, their IT being lean and agile, with direct, on demand access to these new technologies. And with barriers to enter traditional markets lower than ever, especially financial services, the threat of disintermediation through the explosion of connectivity and data is more real than ever. This course will enable delegates to:- Understand the principles of IT and Data, current and the future- Understand how data are generated for different types of organisations – The Data Footprint- Create a data strategy, both operational and value generative- Identify and value data as assets, primary and secondary data- Review data generating processes, assess efficiencies and find alernatives- Understand data market places to source and place data- Understand the legal issues associated with data all types from people through to machines- Build governance and data management frameworks The course is designed to present content, develop strategic data skills and develop them in a safe environment. It is based on real life case studies of how data has been used to build excellent businesses. The course is broken down into the modules below: Module 1What does the world of data and technology look like?Where is the data in an organisation?Mapping and organising data within Organisations Mapping and organising data within OrganisationsData Evils – spreadsheets/e-mail/paperPrinciples of Good Data StrategyMoving Data and Securing DataData Assets, their Classifcation – Opportunities and RisksKnowledge Graphs and Wardley Maps – Data flowing across the OrganisationPrimary Data and Secondary DataData Services – Internal and ExternalData Categories – Static, Transactional, Reference, Meta, Dynamic vs. StaticModule 2Valuing DataLeveraging Data Sets – Current Business, New Business, Adjacent BusinessData MarketsTooling – Analytics, Transfer, IngestModule 3A Data Strategy – Governance, People, Organisation, ToolingLegislationCyber SecurityCompliance and Permitted UseCase Studies