Enterprise Informationization Transformation Existing Systems Integration

First we'll diagnose the status from the business chain instead of the system list.

The list of systems only indicates what the enterprise has purchased, and how the business is run. The information transition should choose the end-to-end chain of “trace to pay back” “order to pay” or “issue to close” to take out recent normal and unusual tasks, recording roles, data, status, waiting, back-to-work and manual aggregation.

The same business may be the creation of clients in CRM, tabular recording of quotations, ERP entry orders, group chat tracking of delivery, financial software confirmation of refunds.

• Operational issues: cycle, backlog, back-to-work, error and client experience
• Process issues: handover, approval, anomaly and liability boundary
• Data issues: uniqueness, integrity, calibre and responsibility for updating
• System issues: capacity gaps, interfaces, performance, security and maintenance risks

Each stock system is processed using four types of decision-making

Systems that operate stablely, meet core rules and are still supported by manufacturers can be retained; systems that are largely functional but are fragmented from upstream and downstream are prioritized; systems that are old, unmaintainable but carry critical operations need progressive adaptation; and systems that are severely secure, compliant or operationally restricted and that are too costly to adapt to replacement plans.

Each decision is made to compare business impact, data migration, interface conditions, shut-down windows, user changes, licence costs and takeover capacity. Business rules that have been stable may be wasted simply because the interface is rebuilt; and critical data and human experience may continue to be locked down simply because the system is operational.

• Reservations: core competencies stable and borders clear
• Integrated: Connecting business links through API, messages or sync
• Retrofit: gradual replacement of high-risk modules and technical components
• Replacement: new systems established and data, process and personnel switching completed

Harmonization of primary data and state calibration, and start of large-scale integration

Clients, suppliers, commodities, organizations, projects and personnel need a single identification and primary accountability system. If the CRM “offer” is mixed, the ERP “audited” and the financial “received” are confused, the interface, even in real time, cannot produce reliable business analysis.

The enterprise should establish a catalogue of data, code rules, field calibre, updated liability and quality check. Cross-system processes are required to indicate who created it, who can modify it, which system keeps the final facts, how errors are retested or manually compensated.

Introduction of a phased structure to connect old systems to new capabilities

The first phase could build a single portal, process service, integrated layer or operating board, connecting critical systems in an API, news, task or controlled file. For old systems without interfaces, the addition of fit services, simultaneous only reading of databases or periodic document exchange could be assessed, but the impact on the production bank and the data consistency risks must be controlled.

When an old module needs replacement, the dependency relationship is first removed from the system, reduced by interface and unified data model, and then switched to the area of operations, organization or process ash. The data lead and the time of writeback is defined during the parallel period of the new and old system, avoiding that both sides consider the other as the final data source.

• First, connect to the high value chain, and not once to all systems.
• Interface design includes authentication, thioperate, overtime, retesting, compensation and audit
• Data migration through cleansing, mapping, trial migration and sample reconciliation
• We have surveillance, back-up and manual emergency procedures on the line.

Put the ICT transition and the AI transition in the right order

AI can help businesses process documents, retrieve knowledge, assist customers and analyse data, but if clients, orders, products, and privileges remain confused, AI will only produce inconsistent results more quickly. Business informatization will turn to AI to provide accessible, interpretable and responsible processes and data, and AI will then be used to handle tasks that require semantic understanding and knowledge judgement.

It is not necessary to wait for all systems to use AI. It is possible to select a local scenario with better data conditions, while incorporating knowledge sources, competencies and manual review into the information architecture. For example, a single worksheet status is established in the after-sales process, followed by AIS-subsidized classification and knowledge retrieval, with the result being that the worksheet is still written and processed by the responsible person.

ICIT for a receiver-receivable enterprise

The receipt and inspection cannot only confirm that the new page is online, but should cover processes, data, interfaces, privileges, performance, backups, back-up, training and system assets. The enterprise needs to obtain demand and process, data dictionary, interface contract, source code or configuration, deploy scripts, test reports, account lists and traffic description, and ensure that the designated person is able to search the log, export data and handle common malfunctions.

Example measurement: Projects, hours worked, billing and refunds for a service enterprise are spread over four sets of tools, requiring multiple manual reconciliations each month. The first stage can be based on project state completeness rates, data discrepancies across the system, time of consolidation at the end of the month and time of late discovery, with the same calibre comparisons being used after the greyscale has been up lined. The official target is confirmed by the enterprise on the basis of real data and the illustrative numbers cannot be used as a fixed effect commitment.

• Operations acceptance: end-to-end processes and anomalies capable of closing loops
• Data acceptance: the only, complete and traceable key object
• Technical acceptance: interface, performance, security, backup and back-up
• Asset acceptance: source-code configuration, account number, document and knowledge transfer completed