Your SlideShare is downloading. ×
0
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Becoming (Big) Data Driven presentation at BusinessMeetsIt Big Data seminar March 13th 2013

421

Published on

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.

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.

Published in: Technology
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
421
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
14
Comments
0
Likes
3
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  1. Becoming (Big) Data Driven
  2. Geert Van Landeghem 3 ▪ Big Data Consultant@DataCrunchers! ▪ geert@datacrunchers.eu ▪ From Vision to Implementation ▪ References
  3. 13 The Ubiquity of Data Opportunities ! Continuous investments in business infrastructure! ! Virtually every aspect of business can be measured! ! More and more External data is available! ! More interest into getting information out of data! ! Data mining versus data science
  4. 13 From Business Problems to Data Mining
  5. 13 Data mining tasks ! Classification! Regression! Clustering! Profiling! Similarity matching! Co-occurence grouping! Data reduction! Link prediction! Casual modeling
  6. Data Science Context 7
  7. 2 How DDD affects performance ! ! ! The more data driven a firm is, the more productive it is!! ! One standard deviation higher on the DDD scale is associated with a ! 4%–6% increase in productivity.! ! DDD also is correlated with higher return on assets, return on equity, asset utilization, and market value, and the relationship seems to be causal! ! ! ! ! Source: Study by Economist Erik Brynjolfsson and his colleagues from MIT (2011)
  8. 2 Data Driven marketeers outperform their competition Source: The State of Marketing 2013, IBM’s Global Survey of Marketeers
  9. Many leaders are data-driven 4
  10. What does it mean to be data-driven? ! The culture and capabilities that! operationalize capturing, processing, and! utilizing data to make timely decisions! that improve products, customer! experiences, operational efficiency and! competiveness. 2
  11. Data driven hurdles ! Disparate Data Sets! ! Data owned by different silos within the org! ! Lack of funding! ! Lack of time/resources! ! Legacy operating rhythm 2
  12. Embarking on your data driven journey ! Transformation will not happen overnight! ! Support of C-Level (top-down)! ! Requires cross-functional collaboration! ! Combination of people, process, tools! ! Cultural champion is needed 2
  13. How does big data fit in? ! 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 6
  14. Big Data Technical Drivers 7
  15. Big Data Business Drivers ! Do More (Analytics) with Less (Costs) 8
  16. Big Data Driven Roadmap 13
  17. 14 Source: Bill Schmerzo (EMC)!
  18. How to build the 360° view? ! ! ! Two-way data integrations across multi-channels! ! Data is always updated and ! accessible for use 2
  19. The Enterprise Data Hub
  20. Enterprise Data Hub Definition ! Contains all enterprise data! ! Internal & External! ! Processes all data in „near real-time” to generate views! ! Historic & Flowing! ! Views! Answers to business questions 2
  21. A Common Start Situation 16
  22. Our Vision #1 Focus on Data not on Derived Data 17
  23. Our Vision #2 Data is immutable! 18
  24. Our Vision #3 Query = function (all data) 19
  25. Conceptually 20
  26. 21 Lambda architecture
  27. View generation ! - Use machine learning! ▪ Recommendations! ▪ Clustering! ▪ Classification! ▪ Regression! ▪ R! ▪ …! - SQL Like (Hive)! - Data Flow Programming (Pig) 25
  28. 13 References
  29. 28

×