1. What are the services provided?
2. What are the targeted user groups?
3. What are the services that users feel good about while experiencing the service?
4. Why these services are customer groups feel good
5, plus which additional services can make the user's experience better
6. Experience services to let users do not resent what value-added services, but also feel good value for money
7. Big Data analysis for customer group experience to update iteration of service product
8. Prepare a persistent, updated experience service process
9. Centralize a large number of user groups (intangible assets)
10. Fan thinking, iterative thinking, big data thinking, extreme thinking, platform thinking
11. Big Data analysis refers to the analysis of large-scale data. Big data can be summed up as 4 V,
Large data volume (Volume), fast speed (velocity), type-Multiple (Variety), authenticity (Veracity).
Big Data is the word of the hottest IT industry, followed by data warehousing, data security, data analysis,
Data mining and so on, the use of business value of big data has gradually become the profit focus of industry people.
With the advent of the Big Data era, big data analysis has emerged.
Internet thinking focus