Building your data driven business with Reactive Marketing Technology
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The document discusses data-driven business and reactive marketing technology. It begins with key questions about data-driven business, the benefits of analytics, and introduces the "9D" model for big data business. Tools for building reactive marketing technology are presented, including Apache Storm, Apache Kafka, Apache Spark, and the Hadoop ecosystem. A case study demonstrates how to build a digital marketing software using open source big data tools. The philosophy and a lightweight lambda architecture for building a reactive system is described.
Building your data driven business with Reactive Marketing Technology
- 1. Data-Driven Business with Reactive Marketing Technology Presented by @tantrieuf31 http://nguyentantrieu.info
- 3. Key questions for us today ? 1. What is data-driven business ? 2. Why should we apply analytics in business ? 3. Introducing model “9D” for big data business. 4. How can we do it ? 5. Case study: Building a Digital Marketing Software with Open Source Big Data Tools You will see how (innovation + marketing) = growing 2
- 4. Refer: http://gartnernews.com/gartners-top-10-strategic-technology- trends-for-2015/ Key points of this slide: 1. Analytics 2. Context Mining 3. Smart reporting
- 6. What is data-driven business? Ok, it’s just a business, which is driven by data analytics Refer: http://www.nytimes.com/2011/04/24/business/24unboxed.html
- 7. How ? It’s the Data- Driven Business
- 9. 1970s 1990s 2000s 2010s Data Management Technology and Trends ● rfxDB ● Apache Storm ● Apache Kafka ● Apache Spark ● ... ● Hadoop Ecosystem ● NoSQL Ecosystem ● Oracle ● MySQL ● PostgreSQL ● ...
- 10. Logical Concepts of Reactive Marketing (RM) http://www.mc2ads.com/2014/12/concepts-of-reactive-marketing-for-21st.html
- 11. Where do Reactive Marketing come from ?
- 13. Why is Reactive Marketing ?
- 14. Why should we apply data analytics in business ?
- 15. Why ? First, analytics help us organize data into an understandable structure
- 16. Second, growing our analytics capability means we could make better business plans, decisions and actions (1) collect all data you could have (2) define key questions for your business (3) Scenario planning for all decisions and actions
- 18. “Vision Without Execution Is Just Hallucination” Ok, cool ideas, but how we build it ? Our Our We are here
- 19. the model “9D” for big data analytics
- 22. How to make an elephant run faster than a leopard? Everyone has 6 seconds to think about this problem
- 24. Tools I used to build Reactive Marketing Technology
- 25. Philosophy
- 27. Front-end tools D3 helps you bring data to life using HTML, SVG and CSS NodeJs is perfect for data- intensive real-time applications that run across distributed devices
- 28. Back-end tools Apache Phoenix as SQL ad-hoc query engine on Hadoop RFX for reactive “Fast data” computation. It’s my framework from mc2ads Lab
- 29. Ok, but how can we build it ? Lightweight Lambda Architecture
- 30. Let's demo: Real-time Reactive Marketing 1. Collecting 3 types of data (b,b,c) → store data as stream 2. Stream processing → real-time behavioral analytics 3. Reactive processing → personalized product recommendations 4. Collecting feedback data → Send marketing email 5. Compute social trends → Auto tweet and share promotions to social media