Humans have entered the era of big data, and big data applications have penetrated into all walks of life, constantly shaping new formats.
For discipline inspection and supervision, big data technology helps to clear the "blind spot" of supervision. Big data technology can find high probability phenomena in massive data, find data anomalies through collection, comparison and analysis, and tap hidden clues to make supervision more accurate, thus reducing "dead corners" and "blind spots" in discipline inspection and supervision.
Big data technology is conducive to breaking through the "difficulties" of supervision. Through the construction of cross-departmental data interconnection and sharing mechanism, the innovation of supervision mode is realized. For example, all localities apply big data to prevent "corruption on wheels", establish a standardized supervision platform for official vehicle operation, and open up functions such as "real-time positioning, multi-vehicle management, historical trajectory, satellite capture, fixed-point parking, parking statistics" to accurately crack down on private use of buses.
Big data technology can also play an important role in finding the "key points" of supervision. Using the massive data generated by social public services, we can find new risks of clean government, new tricks of violating discipline and law, and determine the key points of supervision; The application of "internet plus supervision" mode can fully release the positive energy of mass and media supervision, form a ubiquitous supervision network, and realize the benign interaction between inner-party supervision and non-party supervision.
Big data has broad prospects in the field of discipline inspection and supervision. In the face of the wave of big data, we must not only "want to use it", but also "use it well" and "use it well".
To make good use of big data, start with "want to use it". First of all, we must firmly establish the awareness of using big data to solve key and difficult problems and actively use big data to seek solutions. In-depth understanding of the latest trends and trends of big data technology, and frequent collection and feedback of the latest information on hardware equipment, software systems, tool innovation, etc. Support the construction of big data application platform for discipline inspection and supervision system with mature technology and finalized results.
"Use" big data. On the basis of effective risk management and control, we dare to try, follow up new big data technology tools in time, and do a good job in the analysis, comparison and conversion of old and new methods. It is necessary to seek big data solutions for things that require a lot of time to repeat memories, liberate discipline inspection and supervision cadres from ordinary, cumbersome and heavy simple labor, and put more energy into work that requires subjective initiative to improve work efficiency.
Make good use of big data. Any scientific and technological means is just a tool, and it is up to people to find the most reasonable way to use it. You can't be hostile to tools, you can't be instrumental, and you can win the world with big data applications. To be a master of using big data, don't be kidnapped by big data. Make good use of bottom-up innovation ability, give full play to the advantages of young cadres in accepting and applying new things quickly, promote the normalization of big data application in discipline inspection and supervision system from point to point, and actively explore new ways to use big data technology to promote "power into the cage" to improve work quality and efficiency.