This year’s epidemic forced almost all enterprises to realize that digital transformation has become a necessity. Enterprises are no longer entangled in the choice question of “waiting for death if they don’t transform, or looking for death if they don’t turn well”. Instead, they begin to firmly look for the goals and methods of digital transformation. Huidu “experts 1 to 1, power 2021 enterprise digital decision-making transformation” activity will help enterprises to embark on this journey to explore digital transformation and efficiency improvement!

This activity will provide one-to-one professional consulting services for enterprises that want to realize the transition from experiential decision-making to data-driven decision-making. Then, combined with the needs of enterprises, with the help of the third generation BI, you can have a more thorough understanding of data and get decision-making advice at the same time.

Date: January 31st

Highlights:

  • Meet with big data analytics experts one-on-one
  • Solve any problem in the enterprise’s transition from experiential decision to data-driven decision

Activity Benefits:

  • Analysis of advantages and disadvantages of domestic and foreign BI products and free testing
  • Information on hot solutions or demo presentations

Hot solutions

Management cockpit

To provide enterprises with production capacity, product quality, equipment maintenance, marketing, equipment efficiency, inventory management, financial analysis and forecast, break through the management blind area, the establishment of enterprise operation decision system.

Equipment failure analysis and prediction

Analyze and forecast the data of equipment failure, equipment maintenance, equipment warehousing and so on, optimize the equipment maintenance plan and spare parts purchase plan, reduce the equipment maintenance cost and production loss.

Product quality analysis and forecast

Provide quality and defect trend, production process control, customer complaint and order, equipment failure and spare parts analysis and prediction for enterprises, so as to improve production quality, reduce customer complaint rate and reduce defective rate.