How to become big data driven? Wat does it mean to be data-driven and how data science and big data help to become more data-driven. Finally, how to build a near real-time (big) data platform.
2. Geert Van Landeghem
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▪ Big Data Consultant@DataCrunchers!
▪ geert@datacrunchers.eu
▪ From Vision to Implementation
▪ References
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The Ubiquity of Data Opportunities
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Continuous investments in business infrastructure!
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Virtually every aspect of business can be measured!
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More and more External data is available!
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More interest into getting information out of data!
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Data mining versus data science
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How DDD affects performance
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The more data driven a firm is, the more productive it is!!
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One standard deviation higher on the DDD scale is associated with a !
4%–6% increase in productivity.!
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DDD also is correlated with higher return on assets, return on equity, asset
utilization, and market value, and the relationship seems to be causal!
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Source: Study by Economist Erik Brynjolfsson and his colleagues from MIT (2011)
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Data Driven marketeers outperform their competition
Source: The State of Marketing 2013, IBM’s Global Survey of Marketeers
10. What does it mean to be data-driven?
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The culture and capabilities that!
operationalize capturing, processing, and!
utilizing data to make timely decisions!
that improve products, customer!
experiences, operational efficiency and!
competiveness.
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11. Data driven hurdles
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Disparate Data Sets!
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Data owned by different silos within the org!
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Lack of funding!
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Lack of time/resources!
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Legacy operating rhythm
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12. Embarking on your data driven journey
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Transformation will not happen overnight!
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Support of C-Level (top-down)!
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Requires cross-functional collaboration!
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Combination of people, process, tools!
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Cultural champion is needed
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13. How does big data fit in?
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Big data refers to data that is too big to fit !
on a single server, too unstructured to fit !
into a row-and-column database, !
or too continuously flowing !
to fit into a static data warehouse
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20. Enterprise Data Hub Definition
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Contains all enterprise data!
! Internal & External!
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Processes all data in „near real-time” to generate views!
! Historic & Flowing!
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Views!
Answers to business questions
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