Under the pressure of this year’s epidemic, almost all enterprises realize that digital transformation has become an inevitable trend. Enterprises are no longer entangled in the multiple-choice question of “no transformation, no death, no good transformation”, but begin to firmly look for the goal and method of digital transformation. Huidu“Experts 1-to-1, helping 2021 enterprises to make digital decision-making transformation”The activity will help enterprises embark on the journey of exploring digital transformation and efficiency improvement!
This activity will provide one-to-one professional consulting services for enterprises that want to realize the transformation from experience decision-making to data-driven decision-making, and then combined with the needs of enterprises, with the help of the third generation of Bi, you can have a more thorough understanding of data and get decision suggestions at the same time.
Activity time:Today – January 31
- One to one communication with big data analysis experts
- Solve any problem of enterprise transformation from experience decision-making to data-driven decision-making
- Advantages and disadvantages analysis and free testing of BI products at home and abroad
- Popular solution materials or demo demo
To provide enterprises with production capacity, product quality, equipment maintenance, marketing, equipment efficiency, inventory management, financial analysis and prediction, break through the management blind area, build enterprise operation decision-making system.
Equipment failure analysis and prediction
According to the data analysis and prediction of equipment failure, equipment maintenance, equipment warehousing and so on, optimize the equipment maintenance plan and spare parts procurement plan, reduce the equipment maintenance cost and production loss.
Product quality analysis and prediction
Provide quality and defect trend, production process control, customer complaints and orders, equipment failure and spare parts analysis and prediction for enterprises, so as to improve production quality, reduce customer complaint rate and defective product rate.