Investigating the potential of Big Data Analyticv2
- 2. Big Data in one sentence Gartner “Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.”
- 3. Purpose of dissertation Is to investigate how perception of Big Data concept changed over the time and how Google and other company monetise this unbelievable hidden value inside Big Data.
- 4. The Progress of Big Data Growth Employee generated data User generate data Machine generated data
- 5. The ownership of Big Data Who owns the data? Is this a Division that collects the data; the business as a whole or the Customer whose data is collected? Forrester believes that for Data Analytics to unfold its true potential and gain end-user acceptance, the users themselves must remain the ultimate owner of their own data.
- 6. Application Delivery Strategies “ Trough 2003/2004 practices for resolving e- commerce data volume, velocity and variety issues will become more formalised diverse. Increasingly these techniques involved tradeoffs and architecture solutions that involved /impact application portfolio and business strategy decisions” Gartner Jan 2001
- 7. Case study Weather models There are satellites going around the earth that are measuring high and low pressure zones. They use sophisticated algorithms to determine when those zones are moving and what the weather patterns are going to look like.
- 8. Case study (Continued) Walmart’s stock control This retails stock analysis is based on weather – hurricanes in particular. All the normally expected sales products were on the list, but there was one consistent entry that they didn’t expect it - strawberry pop tarts. But it turns out that strawberry pop tarts consistently go up in sales when a hurricane is coming .
- 9. Case study 2 Wine stock Grocery stores typically have wines in the 10-$ range,25-$ range and 45-$ range. The truth is that nobody buys the 45-dollar bottles, but just having them on the shelf increases the sales of the 25-dollar bottles because people always want to buy the middle solution.
- 10. Secondary Research –Main Findings Important of common business definitions Technical requirement for successful Big Data Management (BDM) Merge of Big Data (BD) and Big Data Management (BDM) Driving source of Data Management Value of Data Analytic
- 11. Primary Research –Progress Big Data immerge as immature discipline with hidden value Necessity of Technical approach in Data Management Data Analysis as key factor for Big Data Management
- 12. Plans for Completion/Areas for Further Investigations Further investigation on Big Data’s case studies and academic journals. Investigate the potential of social media marketing as part of the Big Data revolution. Answering the question of “ What is the future of Big Data?” Highlight the problems with Big Data Conclusion and recommendation