Faced with the huge digital economy market, most companies around the world have started the process of digital transformation, and more than half of domestic companies have regarded digital transformation as the next development focus, and have formulated a clear digital transformation strategic plan.
However, a considerable number of traditional industries, such as manufacturing, finance, energy, chemical and other non-digital native enterprises, have a relatively weak informatization foundation. Although there are some informatization systems, they are basically point-like applications, and there is no connectivity between systems. There are a large number of breakpoints between them, the quality of basic data is uneven, the problem of information islands is serious, and many data are still missing...
Under this current situation, should we first solve the problem of enterprise informatization, or go beyond informatization and directly start digitalization?
To answer this question, we first need to clarify, what is informatization? What is digitization? What is the difference between the two?
1
Informatization vs Digitalization
❶Informatization _
"Informatization" means "business digitalization", which is the process of digitally recording the business activities and processes of the enterprise's production process, procurement process, sales process, customer service, transaction processing, and cash flow.
"Informatization" focuses on business process optimization, and typical tools are information systems, such as: OA, ERP, CRM, SRM, PLM, etc.
❷ Digitization
"Digitalization" means "data businessization", which is to continuously integrate customer data, business data, product data, supplier data, operation data, etc. Find problems, discover rules, discover business opportunities, use data to optimize business portfolio, optimize business processes, optimize business models, and achieve continuous operation, continuous innovation, and sustainable development of enterprises. The focus is on "data-driven" business. Typical tools are Data system.
For example: data warehouse, data middle platform, master data management platform, data asset management platform, etc.
❸Digitalization ≠Informatization
It is not difficult to see from the definitions of informatization and digitalization that digitalization and informatization are a question of who dominates the real physical world or the digital world. Of course, the use of informatization cannot solve the problem of digitalization.
Regarding the difference between informatization and digitalization, the following figure summarizes the time of occurrence, technical architecture, demand characteristics, core objectives, delivery mode, etc.:
▲Informatization transformation vs digital transformation
2
Can enterprises skip informatization and directly enter digitalization?
Digital transformation is a systematic project, which requires not only an overall top-level strategic planning, but also a promotion strategy of "small steps and quick breakthroughs".
At this stage, the digital transformation of traditional enterprises is actually inseparable from the upgrading or transformation of informatization.
It should be noted that the informatization transformation here must be a "data-driven" transformation, through the reconstruction of the business operation model through "object digitization, process digitization, and rule digitization", starting from the process and ending with the process, and internalizing the digital results to the In the management system, digital operations are realized, traditional operation models are changed, data-driven, information silos and departmental walls are broken, and scientific decision-making based on data is realized.
To sum up, for traditional enterprises, informatization and digitalization are not contradictory. The realization of the goal of digital transformation is inseparable from the upgrading and improvement of informatization. The connectivity, synergy, and insight of digital technology need to be established on the basis of a certain degree of informatization maturity.
3
How to carry out the digital transformation of traditional enterprises?
Digital transformation is a systematic project that involves the transformation of an enterprise's business model, organizational mechanism, talent structure, technical tools, corporate culture, etc. It is impossible to achieve transformation through the implementation of a project. It is a long-term, spiral Continuous iterative optimization work.
The OceanMind Hai Ruisi data engineering expert team provides targeted consulting services to help companies choose a construction path that suits their own development according to their own digital transformation process:
Single-point breakthrough: "How can digital investment quickly bring me benefits?"
Realize the digital expression of key business links of enterprises, realize data aggregation, interconnection and interoperability in a certain link, solve actual single-point problems based on data, and abstract high-frequency repetition, low cost, and relatively independent business scenarios. Grasp the core driving factor of data, integrate the value of data into the key activities of the enterprise, and realize the process-driven to data-driven point-by-point.
Partial optimization: "How to digitally transform the specific business flow of enterprise operation and management?"
With the help of digital means, systematically integrate the data that was limited to a certain equipment, system or business link in the past, break the island of information, realize the integration optimization across departments, systems and business links, so as to achieve the purpose of reducing costs and increasing efficiency . With the key business of the enterprise as the core, it realizes the integration of related multi-business links, processes and data, and forms a data-driven business improvement mechanism.
Global upgrade - "All businesses are worth upgrading with digital means!"
Through the OceanMind Hairuisi data intelligence platform, the data resources of various elements are collected to form supporting capabilities, realize business optimization and data sharing across the enterprise, and apply digital technology to deeply integrate the entire production and operation process of the enterprise, realize the comprehensive interconnection of people, machines, and things, and efficiently allocate resources , Internal and external collaborative optimization.
4
Business-Driven Data Engineering Solutions
Today, when digital transformation has entered the deep water area, enterprises need to accurately locate the development status of their own digital transformation capabilities, and clarify the specific development direction and advanced path for transformation and improvement. At the same time, in practice, we continue to improve transformation awareness, clarify transformation goals, enhance the confidence of enterprises in promoting digital strategies, and customize "exclusive" transformation roads suitable for their own development.
▲Data engineering closed-loop management flow
OceanMind Hai Ruisi starts from the fundamental goal of enterprise management, provides business-driven data engineering solutions , is oriented by business needs, starts from data, realizes the value mining and application of data, and continuously drives business optimization to help enterprises in their digital transformation. Keep building!