Company Size Informationization Priorities
The information focus of enterprises of different sizes is not on the number of systems, but on the steps that have been taken to increase the complexity of management. Twenty-person teams first resolve the client, order and financial base records, 50 people focus on the cross-post process, and 100 people on the harmonization of master data, competencies and business analysis.
This video is used for enterprise-infomatic knowledge learning and internal discussions.
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The information focus of enterprises of different sizes is not on the number of systems, but on the steps that have been taken to increase the complexity of management. Twenty-person teams first resolve the client, order and financial base records, 50 people focus on the cross-post process, and 100 people on the harmonization of master data, competencies and business analysis.
The video content of this issue is read
The following are structured textual interpretations of the video for the current period, which allow for rapid reading, internal discussion and search; it is not verbatim subtitles. Around “20, 50, 100 people in the information focus of the enterprise”, it is suggested that a distinction be made between the appearances, business causes and system improvements before deciding whether process adjustments, data governance, system integration, automation or customization development are required.
1. Processes that were out of control first after the increase in the number of people
The focus of information for enterprises of different sizes is not on the number of systems, but on the extent to which the complexity of management has grown. Twenty-person teams first resolve the client, order and financial base records, 50 focus on the cross-post process, and 100 on the harmonization of master data, authority and business analysis.
2. System capacity to be built at different stages as a matter of priority
The focus of information for enterprises of different sizes is not on the number of systems, but on the extent to which the complexity of management has grown. Twenty-person teams first resolve the client, order and financial base records, 50 focus on the cross-post process, and 100 on the harmonization of master data, authority and business analysis.
3. Ways to avoid system over-front or long-outstanding accounts
The focus of information for enterprises of different sizes is not on the number of systems, but on the extent to which the complexity of management has grown. Twenty-person teams first resolve the client, order and financial base records, 50 focus on the cross-post process, and 100 on the harmonization of master data, authority and business analysis.
What should we do with this scene?
The first step in the project is to determine what information is to be done by the size of the enterprise, the route of construction, the product selection and the entry point for AI. The first step is to define what is to be done about the “different focus of information for enterprises with 20, 50, 100 people” and to define real inputs, expected output, tool privileges, manual clearance, unusual handling and operational acceptance indicators, before deciding whether to use rules, scripts, API, Codex or other AIAgents.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
The verification of conditions, liability, data sources and exceptions is done using real samples, and the presentation is not used as a substitute for production evidence.
Suggested paths for improvement
- 1Recovery status process and cost baseline
Selecting recent and representative tasks and anomalies, identifying participants, input outputs, time and current costs.
- 2Prioritization by value, risk and conditions of implementation
Distinction between actions that are self-executing, that require manual confirmation and that prohibit automatic processing.
- 3First, try a quantitative closed ring.
Start with the draft, a copy or a limited scene, and keep the abnormal transferer and retreat.
- 4Extension or re-routing of routes through data decisions
Continuous observation of accuracy, adoption, processing cycle, error and real business results.
How to automate the receipt and inspection is really effective.
The acceptance cannot be based solely on whether a single demonstration runs. The following results should be observed continuously using independent samples and real anomalies, and pre-modification baselines of the same calibre should be maintained:
- Whether core processes are really shortened
- Whether key data form a uniform calibre
- Continued use of staff
- Reconciling input, operating cost and business value
The authorization, approval, audit and manual takeover must also be verified when it comes to the amount, customer commitment, privacy, compliance, production change or deletion operations.
Continue to learn about the programmes
Information-building for enterprises
Informationalization route planned from business processes, data and systems architecture
See detailsRelated resourcesCustom Software Development
Understanding of needs, design, development, testing, deployment and delivery of borders
See detailsRelated resourcesRoute selection for system construction
Comparative standard products, open source adaptation and customization development
See details