Use of Big Data Analytics in Advertising
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This document discusses how big data analytics is used in advertising. It defines big data as large amounts of organized or unorganized data, measured in petabytes which equals 1000 terabytes or 1000 gigabytes. Big data analytics involves analyzing raw data to make sense of it using tools like Hadoop, MapReduce, Spark and TiMR. The document explains how big data helps target customers with relevant ads, potentially increasing sales. It provides examples of major companies that have benefited from big data analytics through increased decision making, traffic, clicks and revenues. In conclusion, the document argues big data analytics will become necessary for companies both large and small to serve relevant ads and increase profits.
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Use of Big Data Analytics in Advertising
- 1. Use of Big Data Analytics in Advertising Sandesh N. Patkar PGDM B (15-17) Roll No. 100 SIES College of Management Studies, Nerul
- 3. What is Big Data? • Big amounts of data • Organized or unorganized
- 5. How BIG are we talking about? • In Petabyes – 1 Petabyte is equal to 1000 Terabytes – 1 Terabyte is equal to 1000 Gigabytes – That is, 1 Petabyte is equal to 1 Lac Gigabytes Storage
- 6. What is Big Data Analytics? • Raw data is useless • To make sense of the data
- 7. How do you analyze Big Data? • Hadoop • Map Reduce • SPARK • TiMR
- 8. Mobile How does Big Data help in advertising? • To target customers with relevant advertisements • Relevant advertisement=More sale Pizza! 50% off Buy 1 get 1 Free
- 9. Is it only for online advertising? • Yes and no
- 10. Which companies has Big Data Analytics helped? • Amazon • Facebook • Google • Walmart • Youtube • SumAll • Beats •Duetto •GrubHub •Sprig •Munchery and many more…
- 11. How has Big Data helped? • Aids in decision making • MROI up 15-20% • Traffic and clicks up 10% • Facebook – Ad revenues up 129% • Amazon – Additional 10-30% revenue
- 12. Can Big Data predict what I’ll buy? • Yes • Amazon anticipatory shipping • Sprig 15-minute delivery • Duetto
- 13. Conclusion • As screen size reduces, space becomes precious • Advertisements that matter, will increase sales • Big Data will soon become a necessity for all the companies; big and small BIG DATA = BIG PROFIT