IKN Chief Data Officer 2022

from democratization to integration: per una Data Driven Strategy value-based


30 June 2022


09:00 – 17:00


UNAHOTELS Expo Fiera, Milan



There is an increasing need to manage and apply data differently. The use of data will be even more crucial for business entities. We have already seen trends that have required businesses to take action to succeed such as growth or even movement of many activities into the digital world.  Now with different ways of dealing with customers, it is vital to address such topics.

This event is packed with insights and tips from leaders and we are delighted to be sponsoring and presenting at the event! The event is aimed not only at Chief Data Officers but also at all those business functions that deal with data management, governance, analytics and usage.

Watch our talk

Customer Analytics Powers Insights-Driven Business with Giovanni Lorenzoni, CEO

From Data Strategy to Data Execution

How to use Data for a purpose

Giovanni Lorenzoni at BitBang will be addressing how organizations need a data strategy that is broken down and made viable by an operational plan. With an agile plan, you can ensure your data can be leveraged for business purposes.

Leveraging data in today’s business environment can be a complex and sometimes confusing exercise. For this reason, organizations need a data strategy to guide them in the right direction. The days of having a one-size-fits-all data strategy and using one-size-fits-all guidance are long gone.

Organizations need to be quick-witted and agile in their approach, willing to accept challenges and failures, and able to adapt instantly to changes seen in consumer behavior. The many marketing initiatives, limited resources, and the constant pressure to achieve operational efficiencies by leveraging an ever-increasing volume of structured, semi-structured, and unstructured data are additional drivers of complexity.


Giovanni Lorenzoni
CEO, BitBang

Topics covered

  • Rethink Data Governance in a cloud-based, increasingly digital and AI-centric environment
  • Create a data analytics strategy that enables digital acceleration and agility
  • Implement the most appropriate data integration platforms from data assimilation, cleansing, mapping and transformation, to more usable intelligence processing
  • Bridge the gap between business and IT through data democratization and address the frequent dispersion and isolation of data
  • Review and optimize IT architecture to properly set access and coordination policies across data sourcesslator 

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