Data-driven operations in action, a data analysis manual for products and operations

Data-driven operations implementation, data analysis training manual for products and operations. Resource introduction:

In the data age, whether it is product, operation, or any Internet business position, everyone is paying attention to customer acquisition, retention, and revenue, observing indicators around data, and then conducting business analysis to complete various operational actions.

The ability of "data-driven operation" is a thinking ability that every Internet person needs to possess. It can efficiently guide our "operational actions" and "decision-making directions", help us abandon the habit of "snap decision-making" at work, and solve business problems rationally and well-founded.

Course Catalog

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[6273] The opening words give you a set of "three-stage" standard paths for data-based operations.mp4

[6274] 01 Indicator system, the first step to think about business logic.mp4

[6275] 02 Say goodbye to confusion! North Star Indicator, providing direction for business.mp4

[6276] 03 How to avoid vanity indicators and reasonably define “effective registered users”? .mp4

[6277] 04 DAU, MAU, UV: Which is the most valuable activity indicator? .mp4

[6278] 05 Is it enough to focus on user retention? 3 more retentions worth your attention.mp4

[6279] 06 Four steps to a poem: a good way to quickly create an indicator system.mp4

[6280] 07 Analysis Breakthrough: How to capture the main features of data through indicators? .mp4

[6281] 08 Multidimensional analysis: How to use indicator dimensions to break free from the limitations of vision? .mp4

[6282] 09 Grasping the key to the problem: using correlation analysis to break down multiple influencing factors.mp4

[6283] 10 Operational evaluation: How to measure your operational strategy through data review? .mp4

[6284] 11 Business survey: How to infer the overall business situation from a small number of samples? .mp4

[6285] 12 Trend Forecasting: How to predict the future development trend of core indicators? .mp4

[6286] 13 Tools and Methods: How to use the 3A3R model to transform data into operational strategies.mp4

[6287] 14 Insight and customer acquisition: How to efficiently acquire new customers? .mp4

[6288] 15 Activity (Part 1): How to improve user activity through operational techniques? .mp4

[6289] 16 Active (Part 2): How to perform silent wakeup through user layering? .mp4

[6290] 17 Retention: How to improve user retention through data, social networking and content? .mp4

[6291] 18 Revenue: How to increase user revenue contribution through cross-marketing? .mp4

[6292] 19 Communication (Part 1): How to build a private domain operation system with tens of millions of users? .mp4

[6293] 20 Propagation (Part 2): How to formulate a million-level fission propagation strategy? .mp4

[6294] How to use the "pyramid principle" to write a data operation analysis report? .mp4

[6295] Conclusion: After work: Kung Fu is outside of poetry, data is in life.mp4