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“BIG DATA CHARACTERISTICS, VALUE
CHAIN AND CHALLENGES”
Rabiul Islam Jony,
Musfiqur Rahman.
Abiduzzaman Rahat,
[University of Liberal Arts Bangladesh.]
[Primeasia University.]
Rakibul Islam Rony.
ICAICT 2016
Int'l Conf. on Advanced Information &
Communication Technology - ICAICT 2016
Contents
 Big Data definition
 Big Data Characteristics
 Big Data Value Chain
 Big Data Challenges
 Conclusion
 Bibliography
2
Big Data
 Big Data is high-volume, high-velocity and high-variety
information assets that require new forms of processing
to enable enhanced decision making, insight discovery
and process optimization [1].
[1] Beyer, M. A. & Laney, D., 2012. The Importance of 'Big Data': A Definition, s.l.: Gartner.
3
Big Data Characteristics (1/4)
 Volume
Year-wise Volume of Data stored in the world
4
Big Data Characteristics (2/4)
 Velocity
Kalakota, R., 2012. Sizing “Mobile + Social” Big Data Stats. [Online] Available at:
http://practicalanalytics.wordpress.com/2012/10/22/sizing-mobile-social-big-data-stats/
5
Big Data Characteristics (3/4)
 Variety
Growth of Data Variety by year
Botteri, P., 2012. Eastern European Champions & the 4 V’s of Big Data. [Online] Available at: http://cracking-the-
code.blogspot.fi/2012/10/eastern-european-champions-4-vs-of-big.html
6
Big Data Characteristics (4/4)
 Others
 Viability
 Value
 Veracity
 Huge Data with Heterogeneous and Diverse
Dimensionality
 Autonomous Sources with Distributed and
Decentralized Control
 Complex and Evolving Relationships
7
Big Data Value Chain(1/2)
 The Data-Information-Knowledge-Wisdom
hierarchy pyramid
8
Big Data Value Chain (2/2)
 Big Data Value Chain
9
Big Data Challenges
 Storage
 Complexity
 Management
 Preprocessing
 Analytics
 Utilization gap
 Lack of skilled people
 Privacy
 Security
 Real-time analysis
 Additional challenges
10
Conclusion
 Basic Characteristics of Big Data is identified
 Big Data value chain is presented as a result
of this paper
 Big Data challenges have been identified
 Results could not be verified
 Future research scope involves: verification of
result, practical implication of value chain
11
Bibliography (1/2)
12
 [1] The Economist, "Data, data everywhere," The Economist, February 2010.
 [2] Infosys, "Big Data: Challenges and Opportunities," 2013.
 [3] Eric Schmidt. (2010, August) techcrunch. [Online]. http://techcrunch.com/2010/08/04/schmidt-data/
 [4] S. Sagiroglu and D. Sinanc, "Big data: A review," in Collaboration Technologies and Systems (CTS),
2013 International Conference on, San Diego, CA, 2013, pp. 42 - 47.
 [5] Mark A. Beyer and Douglas Laney, "The Importance of 'Big Data': A Definition," Gartner, Analysis Report
G00235055, 2012.
 [6] McKinsey & Company, "Big Data: The next frontier for innovation, competition, and productivity," 2011.
 [7] S. Kaisler, F. Armour, J. A. Espinosa, and W. Money, "Big Data: Issues and Challenges Moving Forward,"
in System Sciences (HICSS), 2013 46th Hawaii International Conference on, Wailea, Maui, HI, 2013, pp. 995-
1004.
 [8] ATKearney. (2013, January) Big Data and the Creative Destruction of Today's Busniness Model. [Online].
https://www.atkearney.com/strategic-it/ideas-insights/article/-/asset_publisher/LCcgOeS4t85g/content/big-data-
and-the-creative-destruction-of-today-s-business-models/10192
 [9] S. Sicular, "Gartner's Big Data definition consists of three parts," Forbes, March 2013.
 [10] Neil Biehn. (2013) WIRED. [Online]. http://www.wired.com/insights/2013/05/the-missing-vs-in-big-data-
viability-and-value/
 [11] X. Wu, X. Zhu, G.Q. Wu, and W. Ding, "Data Mining with Big Data. Knowledge and Data Engineering,"
Knowledge and Data Engineering, IEEE Transactions on, vol. 26, no. 1, pp. 97-107, June 2013.
 [12] M.E. Porter, The Competitive Advantage: Creating and Sustaining Superior Performance. New tork,
USA: Free press, 1985.
Bibliography (2/2)
13
 [13] H. Miller and P. Mork, "From Data to Decisions: A Value Chain for Big Data," IT Professional, vol. 15, no.
1, pp. 57-59, February 2013.
 [14] R. Ackloff, "From Data to Wisdom," Journal of Applied Systems Analysis, vol. 16, pp. 3-9, 1989.
 [15] Jay H. Bernstein, "The Data-Information-Knowledge-Wisdom Hierarchy and its Antithesis," North
American Symposium on Knowledge Organization, pp. 65-75, 2011.
 [16] Andrew Stein, "Big Data and Analytics, The Analytics Value Chain – Part 3," Steinvox, October 2012.
 [17] C. Moorman, "The Utilization Gap: Big Data's Biggest Challenge," Forbes, March 2013.
 [18] McGuire. (2013, March) Youtube. [Online]. https://www.youtube.com/watch?v=Sc5FFY-IVDQ
 [19] Gartner, "Gartner Reveals Top Predictions for IT Organizations and Users for 2013 and Beyond," 2012.
 [20] M. Smith, C. Szongott, B. Henne, and G. Von Voigt, "Big data privacy issues in public social media," in
Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on, Campione d'Italia, 2012,
pp. 1-6.
 [21] Olaf Acker, Adrian Blockus, and Florian Pötscher, "Benefiting from big data: A new approach for the
telecom industry," Booz & Company, Analysis Report 2013.
 [22] Abdelghani Bellaachia, Data preprocessing, 1st ed. Washington, USA, 2011.
 [23] D Tanasa and Antipolis Sophia, "Advanced data preprocessing for intersites Web usage mining,"
Intelligent Systems, IEEE, vol. 19, no. 2, pp. 59 - 65, March 2004.
 [24] Fazel Famili, Wei-min Shen, Richard Weber, and Evangelos Simoudis, "Data Preprocessing and
Intelligent Data Analysis," Intelligent Data Analysis, vol. 1, no. 1, pp. 3-23, 1997.
14

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Big data characteristics, value chain and challenges

  • 1. “BIG DATA CHARACTERISTICS, VALUE CHAIN AND CHALLENGES” Rabiul Islam Jony, Musfiqur Rahman. Abiduzzaman Rahat, [University of Liberal Arts Bangladesh.] [Primeasia University.] Rakibul Islam Rony. ICAICT 2016 Int'l Conf. on Advanced Information & Communication Technology - ICAICT 2016
  • 2. Contents  Big Data definition  Big Data Characteristics  Big Data Value Chain  Big Data Challenges  Conclusion  Bibliography 2
  • 3. Big Data  Big Data is high-volume, high-velocity and high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization [1]. [1] Beyer, M. A. & Laney, D., 2012. The Importance of 'Big Data': A Definition, s.l.: Gartner. 3
  • 4. Big Data Characteristics (1/4)  Volume Year-wise Volume of Data stored in the world 4
  • 5. Big Data Characteristics (2/4)  Velocity Kalakota, R., 2012. Sizing “Mobile + Social” Big Data Stats. [Online] Available at: http://practicalanalytics.wordpress.com/2012/10/22/sizing-mobile-social-big-data-stats/ 5
  • 6. Big Data Characteristics (3/4)  Variety Growth of Data Variety by year Botteri, P., 2012. Eastern European Champions & the 4 V’s of Big Data. [Online] Available at: http://cracking-the- code.blogspot.fi/2012/10/eastern-european-champions-4-vs-of-big.html 6
  • 7. Big Data Characteristics (4/4)  Others  Viability  Value  Veracity  Huge Data with Heterogeneous and Diverse Dimensionality  Autonomous Sources with Distributed and Decentralized Control  Complex and Evolving Relationships 7
  • 8. Big Data Value Chain(1/2)  The Data-Information-Knowledge-Wisdom hierarchy pyramid 8
  • 9. Big Data Value Chain (2/2)  Big Data Value Chain 9
  • 10. Big Data Challenges  Storage  Complexity  Management  Preprocessing  Analytics  Utilization gap  Lack of skilled people  Privacy  Security  Real-time analysis  Additional challenges 10
  • 11. Conclusion  Basic Characteristics of Big Data is identified  Big Data value chain is presented as a result of this paper  Big Data challenges have been identified  Results could not be verified  Future research scope involves: verification of result, practical implication of value chain 11
  • 12. Bibliography (1/2) 12  [1] The Economist, "Data, data everywhere," The Economist, February 2010.  [2] Infosys, "Big Data: Challenges and Opportunities," 2013.  [3] Eric Schmidt. (2010, August) techcrunch. [Online]. http://techcrunch.com/2010/08/04/schmidt-data/  [4] S. Sagiroglu and D. Sinanc, "Big data: A review," in Collaboration Technologies and Systems (CTS), 2013 International Conference on, San Diego, CA, 2013, pp. 42 - 47.  [5] Mark A. Beyer and Douglas Laney, "The Importance of 'Big Data': A Definition," Gartner, Analysis Report G00235055, 2012.  [6] McKinsey & Company, "Big Data: The next frontier for innovation, competition, and productivity," 2011.  [7] S. Kaisler, F. Armour, J. A. Espinosa, and W. Money, "Big Data: Issues and Challenges Moving Forward," in System Sciences (HICSS), 2013 46th Hawaii International Conference on, Wailea, Maui, HI, 2013, pp. 995- 1004.  [8] ATKearney. (2013, January) Big Data and the Creative Destruction of Today's Busniness Model. [Online]. https://www.atkearney.com/strategic-it/ideas-insights/article/-/asset_publisher/LCcgOeS4t85g/content/big-data- and-the-creative-destruction-of-today-s-business-models/10192  [9] S. Sicular, "Gartner's Big Data definition consists of three parts," Forbes, March 2013.  [10] Neil Biehn. (2013) WIRED. [Online]. http://www.wired.com/insights/2013/05/the-missing-vs-in-big-data- viability-and-value/  [11] X. Wu, X. Zhu, G.Q. Wu, and W. Ding, "Data Mining with Big Data. Knowledge and Data Engineering," Knowledge and Data Engineering, IEEE Transactions on, vol. 26, no. 1, pp. 97-107, June 2013.  [12] M.E. Porter, The Competitive Advantage: Creating and Sustaining Superior Performance. New tork, USA: Free press, 1985.
  • 13. Bibliography (2/2) 13  [13] H. Miller and P. Mork, "From Data to Decisions: A Value Chain for Big Data," IT Professional, vol. 15, no. 1, pp. 57-59, February 2013.  [14] R. Ackloff, "From Data to Wisdom," Journal of Applied Systems Analysis, vol. 16, pp. 3-9, 1989.  [15] Jay H. Bernstein, "The Data-Information-Knowledge-Wisdom Hierarchy and its Antithesis," North American Symposium on Knowledge Organization, pp. 65-75, 2011.  [16] Andrew Stein, "Big Data and Analytics, The Analytics Value Chain – Part 3," Steinvox, October 2012.  [17] C. Moorman, "The Utilization Gap: Big Data's Biggest Challenge," Forbes, March 2013.  [18] McGuire. (2013, March) Youtube. [Online]. https://www.youtube.com/watch?v=Sc5FFY-IVDQ  [19] Gartner, "Gartner Reveals Top Predictions for IT Organizations and Users for 2013 and Beyond," 2012.  [20] M. Smith, C. Szongott, B. Henne, and G. Von Voigt, "Big data privacy issues in public social media," in Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on, Campione d'Italia, 2012, pp. 1-6.  [21] Olaf Acker, Adrian Blockus, and Florian Pötscher, "Benefiting from big data: A new approach for the telecom industry," Booz & Company, Analysis Report 2013.  [22] Abdelghani Bellaachia, Data preprocessing, 1st ed. Washington, USA, 2011.  [23] D Tanasa and Antipolis Sophia, "Advanced data preprocessing for intersites Web usage mining," Intelligent Systems, IEEE, vol. 19, no. 2, pp. 59 - 65, March 2004.  [24] Fazel Famili, Wei-min Shen, Richard Weber, and Evangelos Simoudis, "Data Preprocessing and Intelligent Data Analysis," Intelligent Data Analysis, vol. 1, no. 1, pp. 3-23, 1997.
  • 14. 14