Marketing in the Big Data Era
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Marketing in the Big Data Era
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Marketing in the Big Data Era
- 1. Marketing in the Era of Big Data January 10, 2013 #BigDataEra
- 2. Marketing in the Era of Big Data Shirish Netke Pradeep Ananthapadmanabhan President, Amberoon CTO, Vivaki Tweet your question using #BigDataEra
Editor's Notes
- AIPS Story for Amberoon Nov 20, 20124. Proof of Concept Frame Scope and schedule 1. Discovery 2. Definition/Validation of business process (use case), prototype spec and success criteria 3. Development and test 4. Delivery and training 5. Client evaluation of PoCExpectations and proof points Recommended next steps Include timeline/resources/technology etc. Prototyping This may be 2 slides instead of 15. How is this approach different from what may have been done before or what others may proposeComprehensive, end-to-end with a focus on actions, results and ongoing improvement.- Technology is an enabler for the solution and as such can be changed as needed - Solution designed to be constantly improved (via machine learning or otherwise), this is a critical design parameter in building the product otherwise it may have a limited life- Big data analytics based on supplemental/third party data (e.g., social media) may add predictability 6. General success criteria for POC and next steps recommended7. Summary , Conclusion and Ask for next stepsReferences:http://www.huffingtonpost.com/sean-devine/big-data-big-potential_b_2066184.htmlhttp://blogs.edweek.org/edweek/reimagining/2012/10/liberating_big_data.html?cmp=SOC-SHR-TWData, Model and Transformhttp://www.mckinsey.com/features/advanced_analytics