Big Data, Big True
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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.
Big Data, Big True
- 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 . 2
- 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. 3
- 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 4
- 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 5
- 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 6
- 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) 7
- 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 8