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Information Strategy as a key enabler for data Driven Organizations. Marcello Savarese, WIND TRE

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Machine Learning 2. May 19th 2018. Data Driven Innovation 2018. Engineering Department, University of Roma Tre

Published in: Data & Analytics
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Information Strategy as a key enabler for data Driven Organizations. Marcello Savarese, WIND TRE

  1. 1. April 19th 2018 Information Strategy as a key enabler for Data Driven Organizations Marcello Savarese – Chief Data Officer at Wind Tre
  2. 2. 2 Data Driven Organizations need to master these imperatives to exploit value from their information assets Reacting at speed to ongoing data variability Understanding uncertainty customers need Interpreting the ambiguity of multiple market scenarios Managing organizational complexity
  3. 3. 3 Data Driven Organizations effectively govern and manage all the three components of the “Data Supply Chain” How to govern, manage and enrich organization’s data assets How to apply analytics and machine learning to extract insights How to translate analytics insights into Business actions and results
  4. 4. 4 Rule the chaos: define a clear, fit-for-purpose Data Governance operating model
  5. 5. 5 Build a shared consensus on information assets semantic across all the organization
  6. 6. 6 Design and maintain scalable data models to link information definitions to existing metadata
  7. 7. 7 Leverage the ecosystem: data is all around your organization
  8. 8. 8 From technology platforms to open environments
  9. 9. 9 Data privacy and data ethics “by design”
  10. 10. 10 Critical success factors to develop an effective Information Strategy Operating model (governance structure, roles, responsibilities, processes, metrics, policies, …) Business glossary e scalable data models (e.g.: data vault) Open and scalable data management and processing architectures Metadata management e data lineage Top management commitment and cross-functional engagement Single-source-of-truth, data quality and data enrichment logics (open data, data services, …) Strength data privacy, data protection and data security frameworks
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