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Enterprises are divided into: decision-making level, management level, executive level.

Therefore, enterprises will also have: decision-making software, management software, and execution software.

(1)

What is analysis? Analysis is to think about the reasons based on the current situation, which is a typical attribution: from the present to the past, this is called analysis. This is what causal inference algorithms are good at.

What is prediction? Prediction is based on the current situation and pushes forward to the future, which is called forecasting. Timing prediction algorithms are good at doing this.

What is a decision? It is based on the severity and urgency of the forecast, and based on the attribution of the analysis, to propose a solution with feasible capabilities and resources, and a cost-effective ROI input and output, and decide what is the right time to implement it, who will lead the implementation, and what kind of solution will be built. Organization, what resources to invest and how many resources to implement, how to ensure integration and coordination, and controllable quality/cost/risk. This package is called decision-making. Game theory-operations research-optimal solution algorithms are good at this.

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(2)

What is data? It is the most primitive.

What is information? It is generated from the most primitive, with key points and concise features identified.

What is knowledge? It is to associate information to form a structure: such as stack structure, chain structure, tree structure, graph structure, group structure... .

What is wisdom? Permanent memory and fast calculations are not wisdom, and knowing how to choose is not wisdom. Wisdom is invention (not deduction) based on knowledge.

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(3)

After production, supply, sales, research and sales, this is the typical business value chain of a general enterprise.

Where there is product life cycle management software, there is CAD product design tool software.

With supply chain management software, there is sourcing and B2B electronic mall business.

Where there is inventory management software, there is WMS warehousing software.

With MRP production management software, there is MES manufacturing execution system software.

There are sales management and distribution management software, offline retail business development software, online retail e-commerce platform and online independent online store SaaS.

With maintenance management software, there are remote monitoring and remote diagnostic tools.

With human capital management software, there are recruitment websites, training services, assessment services, and employee welfare services.

There are financial management software, there is accounting tool software for bookkeeping and reporting, and there is an integrated service of online purchase-reimbursement for business travel.

(4)

Enterprise management software, after 50-half a century of development, and a century of scientific management theory development, is almost mature.

With the support of Internet-e-commerce, CNC-PLC-HMI-DCS-intelligent hardware-sensor-5G IoT access-AI visual recognition technology, business execution software/hardware/services have become a new market.

Under the technical support of Internet data crawler-search recommendation engine-machine learning-deep learning-deep neural network-pre-training large model, decision-making software, people began to think about its possibility (this makes SPSS, which has not been popular in China, How embarrassing is SAS, neither Party A's business department-IT department nor Party B's implementation consultant-customer developer-product manager can do it).

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Origin blog.csdn.net/david_lv/article/details/129434194
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