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

1. April 19th 2018
Information Strategy as a
key enabler for Data Driven
Organizations
Marcello Savarese – Chief Data Officer at Wind Tre

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
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
Rule the chaos:
define a clear, fit-for-purpose Data
Governance operating model

5. 5
Build a shared consensus on
information assets semantic across
all the organization

6. 6
Design and maintain scalable data
models to link information definitions
to existing metadata

7. 7
Leverage the ecosystem:
data is all around your organization

8. 8
From technology platforms to
open environments

9. 9
Data privacy and data ethics
“by design”

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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