SAS italy - Per diventare un’organizzazione data-driven è fondamentale mantenere la Governance del “fiume” di dati a disposizione. Una gestione necessaria che deve strutturarsi attraverso 3 fattori chiave: Persone, Processi e Tecnologie. Scopri nella presentazione di Oliver Penel, SAS EMEA Data Management Business Director, le raccomandazioni, i focus e le giuste domande che le aziende devono porsi per non rischiare di farsi travolgere dall’ondata di informazioni a loro disposizione.

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Data Governance vs. Data Overflow
Becoming a data-driven organization in a fast-moving world
Olivier Penel - EMEA Data Management Business Director, SAS

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Are you data-driven?
Fact-based
Predictive
Automated
Real-time
Gut-feel
Reactive
Manual
After the fact
vs.
vs.
vs.
vs.

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Innovative ways to leverage existing and new data sources
New data sources New use cases
Operational
data sources
Unstructured data
Web & social media
Things, sensors data…
3rd party data

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Data Governance, as the formal orchestration of…
People
CDO, Data Governance Councils,
Data Stewards, Producers,
Consumers, Custodians
Technology
Data Access, Integration, Quality,
Entity resolution, Business
Dictionary, Lineage, Virtualization,
Streaming data, in-db processing
Processes
Data Acquisition, Sharing,
Lifecycle Management,
Monitoring, Remediation,
Impact Analysis, Consumption…

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Business Glossary

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Data Lineage

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Data Quality Monitoring

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New urgency to an age-old problem
• More information than
manpower to consume it
• More data doesn’t necessarily
mean better decisions

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With Big Data, Data Governance challenges escalate
in all possible ways
Data velocity and the risk of “fast
trash”
Disparate data sources
Lack of control over data production
Questionable Data Quality
Relevance & meaningfulness
Privacy & Regulations

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We The People
use big data
every day…
…But Organizations
are changing the way
they approach data

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Data Governance for Big Data
The questions it should answer…
• Can we trust our sources? How do we verify the authenticity of the
information? Do we know where the data came from?
• Who can access what data?
• Can we verify how the information will be used?
• What rights do those represented in data have?
• How long should data persist?
• Will we record the use made of big data in order to improve our Big Data
information gathering, context, analysis, and decision-making processes?
• How will we protect all of our sources, our processes, and our decisions
from theft and corruption?

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Data Governance for Big Data
Recommendations
• Relevance
• Data linking and lineage
• Meta-data
• Privacy & Regulations
• And….. Data Quality!
 Find the balance between control and velocity
 Keep it business / result driven
 Start with existing data before bringing new
data sources
Focus on…

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Olivier Penel – EMEA Data Management Business Director, SAS
Thank You!
Olivier.Penel@sas.com
@olivierpenel
@Olivier_Penel