Party turning to big data to help assess members
A GRASSROOTS unit of the Communist Party of China has turned to big data to help assess members’ performance.
The program is being piloted in Hangzhou, capital of east China’s Zhejiang Province.
The city’s Party committee has enlisted IT firms to help develop and apply a big data system to help manage its 661,000 members.
“We have sorted Party members’ assessment criteria into 136 categories. Through updating and analyzing the data, scientific intra-Party management can be achieved,” said Shang Liping, a researcher with the city Party’s organization department.
The national leadership adopted a regulation in June about an internal accountability mechanism, to be applied across all levels and divisions.
“By turning the code of conduct, rules and requirements into performance indicators, we can have a closed system to supervise members’ performance through monitoring and analyzing the data,” said Zhang Zhongcan, head of the organization department.
Zhang’s department oversees 37,000 grassroots branches.
Yang Fan, a Party member in his 30s, recently downloaded the Party management app to his phone.
“The system is so powerful. It keeps a record of everybody’s work evaluation and attendance. All app users can check their ranking based on the system’s monthly updates,” he said.
He said when he attends Party activities, he is required to use a fingerprint reader on the app to keep a record of his attendance. He also uses the app to study Party doctrine and complete assignments.
Zhang said the Party leadership has emphasized the comprehensive and strict management of the Party to improve the work style of the Party and governments. The big data system can stimulate members’ initiative in Party building through timely data upgrades and ratings.
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