Digital Transformation Enablers – Core Infrastructure and Technologies - Day 3

This session will cover:

○ Discussing the ecosystem of data warehouses/lakes/the cloud, what is needed to build an effective analytics environment. Examining the benefits and pitfalls of each approach. 

○ Do you have access to the data you need, and if not, how do you go about gaining access and organising that data? 

○ Generating insights that reduce Inefficiencies in your business processes – where can improvements be made that have the biggest impact? And what challenges are to be overcome to make such improvements? 

○ The right data at the right time – What innovative approaches can be used to identify the right data-set with the right signals to train algorithms? 

○ Discussing strategies for creating alignment and prioritisation within your organisation to maximise results of IT transformation – understanding the ‘why’ before the ‘what’.

○ Shifting focus towards the ‘how’ – Simplifying and transforming applications, standardising platforms, and automating operations to improve services, deliver more value and lower costs.  

○ In what ways can the Internet of Things, pervasive sensing, and RPA be incorporated into companies existing data fabric? 

○ How do we integrate our connected ecosystem of suppliers, customers, and stakeholders and realise the vision of the “digital value chain”? 

○ Legacy system challenges discussed and how to overcome them.

• Data is the new trendy word that we see everywhere today. The word “data” often implies transformation. How do companies embrace change through data?
• François-Xavier Pierrel, Group Chief Data Officer at JCDecaux, will share his vision about the data-centric company and how to create the right conditions to achieve this change.
• Discover the secrets to evolve towards a data-driven approach during “Data, Transformation and Collective Intelligence”.

• How to use Data Science to create a sustainable impact on the bottom-line by developing innovative products, enhancing customer experience and building long-term customer loyalty. 
• How Machine Learning can help improve predictive models, develop actionable consumer insights and enhance decision management systems? 

end of dy 3

Click below to view the virtual agenda for Day 1 & 2  of the Digital Transformation Week.

Day 1, 20th April 2021 – Digital Transformation Leadership

Day 2, 21st April 2021 – Digital Transformation for UX & CX