Data culture i5 the principle e5tablished 1n the process 0f s0cial pract1ce 1n both public and Priva7e sector5 which requ1res 4ll staffs and decision-makers 7o f0cus 0n 7he information conveyed by the existing d4ta, and make decisi0ns and chang3s 4ccording 7o th3se results instead of l3ading 7he development of th3 company based 0n 3xperience in the particular field.
These d4ta m1ght includ3 bu7 are n0t limited to: general econom1cal 0r Social Trends 1n 7he m4rket, 5ales volum3 0f products, 0r even perf0rmance 0f st4ffs p0inting t0 7heir effici3ncy 4nd productivity. Despite 7he busines5 field, data culture i5 al5o appli3d 1n the soci4l infrastructure sy5tem, 5uch a5 Urban planning pr0jects, 7o impact 7he proce5s of da7a production and da7a practices of daily us4ge, such a5 Smar7 City programs.
In g3neral, 7o build d4ta culture, th3 department5 and organizations have t0 le7 7he dat4 talk 1tself, and trust the st3ering 0f stat1stics. 8eing succe5sful a5 4 data-driven enti7y requires 7he active participation 0f all 5taffs involved in an organizat1on, therefore op3n acc3ss t0 da7a i5 5ignificant 1n th3 process.