Ce diaporama a bien été signalé.
Le téléchargement de votre SlideShare est en cours. ×

Big Data for Beginners

Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Prochain SlideShare
Presentation on Big Data
Presentation on Big Data
Chargement dans…3
×

Consultez-les par la suite

1 sur 21 Publicité

Big Data for Beginners

Télécharger pour lire hors ligne

Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?

Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?

Publicité
Publicité

Plus De Contenu Connexe

Diaporamas pour vous (20)

Les utilisateurs ont également aimé (20)

Publicité

Similaire à Big Data for Beginners (20)

Plus récents (20)

Publicité

Big Data for Beginners

  1. 1. How Big Data is Changing the World
  2. 2. What is Big Data
  3. 3. First we must understand what data is… Data - factual information used as a basis for reasoning, discussion, or calculation
  4. 4. Companies have amassed enormous amounts of data such as.. -social media activity -financial transactions -location tracking -web behavior
  5. 5. In contrast to traditional data, big data varies in terms of the three v’s. Volume – the amount of data Velocity – how quickly data can be made available for analysis Variety – the different types of structured and unstructured data
  6. 6. “Big Data” is used to describe vast amounts of information. Most professionals in the industry consider multiple terabytes or petabytes to be the current big data benchmark.
  7. 7. No Fear… Data Scientists Are Here!
  8. 8. Data Scientists are professionals who possess deep analytical talent and can make sense of Big Data. Most are educated in data management and have strong backgrounds in mathematics or statistics. Many have trained to become certified in business intelligence, allowing them to creatively develop business solutions. Villanova University has a plethora of articles on business intelligence: http://www.villanovau.com/university-online- programs/#business intelligence
  9. 9. Big Data Benefits
  10. 10. Companies RunSmoothly N.d. Photograph. n.p. Web. 20 Jun 2013. <http://www.complex.com/style/2013/02/the-50-most-stylish-actors-of-all-time/james-dean>.
  11. 11. Increased Revenue
  12. 12. Improved Marketing
  13. 13. Barnes & Noble, Inc. A Case Study
  14. 14. The Scenario: With the advent of e-books and online book sales, Barnes & Noble needed a way to improve the in-store experience and to make the right merchandising decisions. The Problem: Millions of SKUs to keep track of and the data was insurmountable. Barnes and Noble had a “Big Data” problem.
  15. 15. The Solution: With the help of IBM and Big Data analysis, Barnes & Nobles can now look at customer trends and provide feedback to its publishers. Merchandising and planning employees now have the insight to make stocking and promotional decisions in real time. Big Data analysis allowed B & N to translate their data into actual customer reading patterns, which allowed them to make optimized inventory decisions that directly resulted in revenue opportunities.
  16. 16. The results: • Reduced the time required to run analytical queries by more than 95 percent • Reduced employee time required to administer the business intelligence solution by more than 70 percent • Improved publishers’ ability to understand and react to market trends, optimize print runs and reduce the cost of unsold book inventory • Enabled the company to optimize its
  17. 17. Big Data In The Future
  18. 18. The Big Data trend is not a phase. It is estimated that Big Data will be a $16.9 billion industry by 2015 and $50 billion by 2017. The enormous growth in the Big Data industry will create thousands of jobs for business intelligence professionals. However, experts believe that the us alone could face a shortage of 140,000 – 190,000 people with business intelligence capabilities.
  19. 19. The End
  20. 20. Sources • http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Ve ndor_Revenues • http://www.villanovau.com/university-online- programs/what-is-big-data/ • http://www- 01.ibm.com/software/success/cssdb.nsf/CS/JHUD- 92JRDT?OpenDocument&Site=default&cty=en_us • http://www.mckinsey.com/insights/business_technology/ big_data_the_next_frontier_for_innovation

×