The document discusses the impact of big data on business intelligence, highlighting statistics and trends from 2008 to 2013. It emphasizes that big data technologies enable companies to extract value from large volumes of diverse data, leading to improved productivity and profitability. Additionally, it addresses challenges in data management and the growing importance of analytical skills in leveraging big data for decision-making.

1. Big Data, Big True
IDC Big Data Conference II, Bologna 19 novembre 2013
Fabio Rizzotto
IT Research&Consulting Director,
IDC Italy

2. Il sorpasso dei Big Data sulla BI
Big Data
Business Intelligence
Worldwide
2008
2009
2010
2011
2012
2013
Business Intelligence
Big Data
Italia
2008
2009
2010
2011
2012
2013
Fonte: Elaborazioni IDC da Google Trends, novembre 2013
Il grafico esprime il numero di ricerche web eseguite con un termine specifico rispetto al numero totale di ricerche effettuate su Google
nel tempo. Non rappresentano valori assoluti di volume di ricerca, i dati sono normalizzati e presentati su una scala da 0 a 100 .
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3. Big Data: Definizione IDC
Volume
Value
Variety
Velocity
Big Data technologies
describe a new generation
of technologies and
architectures, designed to
economically extract
value from very large
volumes of a wide variety
of data by enabling high
velocity capture,
discovery, and/or analysis.
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4. Big Data: si fanno strada evidenze
concrete
Retailer is scoring
customers based on
their on- and off-line
behavior
Manufacturer of wind
turbines uses weather
data and big data
technology to identify
optimal locations
Telecommunications
company is improving
predictability of
customer churn
Credit card company is
improving fraud
detection capabilities
Data-driven
companies1
5% more productive
6% more profitable
45% of organizations
achieve quantifiable
benefits within six
months2
For 16% of
organizations benefits
exceeded expectations
For 61% benefits met
expectations3
Sources:
•1. Strength in Numbers: How Does Data-Driven Decision making Affect Firm Performance? MIT Center for Digital Business, 2011
•2. IDC and Computerworld 2013 Business Analytics Survey, June 2013
© IDC Visit Survey, July 2013
•3. IDC Big Data and Analytics Maturityus at IDC.com and follow us on Twitter: @IDC
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5. Data Management rimane una
grande sfida
Data Quality ► Do we trust the data captured?


Garbage IN, garbage OUT
Good data, bad data
Data
Governance
Data Storage & Retrieval ► How long to store?

Regulations
Data
Ownership
Uncaptured Data ► What to capture?

Machine data, social media feeds
Data Integration
Data
Architecture
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6. Competenze e Analytical Skills
How to Utilize the Analysis
of Big Data to Make Effective
Decisions?
 Data analysts and scientists
 Managers/executives with
analytical skills
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7. Le aziende italiane e i Big Data
 Aziende più propense a iniziative Big Data
vedono opportunità per innovazione di
business, cercano allineamento ITBusiness e migliore qualità dei Servizi IT
 Requisiti di business, Data Integration e
Competenze sono i fattori critici
 Sperimentazioni e prime iniziative
consentono di vedere lo sviluppo interno
delle Competenze anche come
un’opportunità
 Emerge correlazione positiva tra Big Data
e iniziative Cloud
 Big Data contribuiscono a ridefinire ruoli e
influencer a livello CxO
Fonte: Evidenze da Survey IDC Italia, 2013 (n=100)
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8. Conclusioni: Big Data driver per nuovi
scenari di mercato e competitivi
Big Data can allow companies not only carrying out existing analytical tasks
more efficiently, but doing completely new things that were previously
impossible, driving up long-term strategic organizational value
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