Tableau data culture practice case
Scan code sharing case
Findings：A measure used to assess whether the company is ready to promote an analytical culture and develop a plan to help the company prepare properly.
Prototype and quick results：A time period for super users to acquire the support and training needed to become a confident analysis promoter. This stage is mainly about formulating "quick results" that can prove the value of business leaders' analysis and further copy and expand.
Procedures and processes：Prepare process, organizational structure, and technical infrastructure to support widespread deployment. At this stage, mature security, data supervision and other policies will be formulated, and extensive training and activation matters will be prepared.
Expansion：Become a company's own unique quantitative support analysis capability.
”When we first used Tableau, we only considered dashboards and reports. We never thought that Tableau would transform the entire organization. What it brings is not just a solution or technology, but a change in the culture of data”
DKM annual goal: is to add 100 analysts;
High-tech companies: Let 30% of thousands of financial staff have self-service analysis capabilities, and promote business financial support;
Real estate group in digital transformation: The average daily page views (average daily PV value) of the self-service analysis platform exceed 10,000;
State-owned enterprises into changes: Self-services data analysis to include provincial and municipal assessments, and data sharing implementation.
Socialization ability: Building of socialization capitals through training and empowerment activities - "Data Wisdom, Suitable for Everyone", 150 sessions have been accumulated, covering Beijing, Shanghai, Guangzhou, Shenzhen and Hong Kong, with more than 3,600 people trained.
Enterprise ability: Building of entrepreneur capabilities by helping companies to build professional data analysis teams by providing in-house company training for organizational capacity building.
Specialization ability:Professional capabilities by cooperating with consulting companies, guiding enterprises in in-depth application exchanges, and building core data applications for enterprise users.
Knowledge base sharing:Knowledge based sharing by optimizing users’ experiences on the product by organizing and sharing the knowledge through sharing platform "Shared a Lead".