Appropriate tools are needed to move to the new format, and digitalization is perhaps the main one. It is the process of introducing modern technologies, services, and solutions into various areas of life, from agriculture to commerce. In the digital economy, digital transformation serves several functions at once. Preparation At this stage, modern technologies are used primarily to collect and analyze data. Transitioning to a new economic model involves enormous amounts of information.
This includes information about: - the state of infrastructure (network coverage, number of active computers and mobile devices, number of servers, etc.); - citizens and businesses (population, demographic data, production and sales turnover, economic indicators); - consumers and their expectations, including expectations for public services; - the level of digitalization of municipal and commercial organizations; - the legal level of readiness.
Most of this information falls under Big Data, and it is simply impossible to process it manually. This is where digital transformation comes in. Collection, analysis, modeling, and forecasting - these and other tasks are now handled by robots. This cuts time costs many times over, reduces the workload on specialists, and eliminates the risk of errors such as data loss or, on the contrary, duplication.
Automation of data handling is also important because data is used to develop strategy, so it must be highly reliable. Implementation The next stage includes measures that directly move the state and society from a traditional economic model to a digital one. Most of them are also part of digital transformation projects: 1. Modernization or construction of infrastructure. This includes laying new fiber-optic lines and installing related equipment, as well as telecommunications and servers. 2.
Digitalization of services and documents. As a result of government digital transformation and the implementation of the 2018 national project, most public services became available in electronic format, and EDI was introduced in all major corporations and municipal bodies. 3. Introducing innovations in production. Large factories are now equipped with robots, smart sensors, and CNC machines, while artificial intelligence helps manage Big Data, supplies, procurement, and other areas. 4.
Development and integration of digital platforms. Digitalization helps create services that make a range of services more accessible and efficient, from education to public procurement. 5. Improving cybersecurity. The threats of online fraud, data leaks, and infrastructure cyberattacks are an inherent risk that accompanies any process involving the move of activity into an online format.
To protect citizens, businesses, and digital economy assets, digital transformation provides for the opening of monitoring and prevention centers for such risks, software development, the introduction of multilevel encryption, and other tools. 6. Working on the population's financial literacy. Digitalization includes seminars, lectures, and training sessions that teach people to recognize scammers before they are deceived.
Evaluation When the state and society move to a digital economy, it is necessary to understand how effective the process was and what results were achieved. Digital transformation technologies help by simplifying and speeding up work with data.
The most important tools: - Big Data collection algorithms; - artificial intelligence; - online forms for monitoring social change and business development; - interactive platforms for collecting feedback, wishes, and questions; - advanced technologies that help prevent risks. Often, evaluation uses not one but several digital transformation technologies together. For example, if you need to determine whether the move to EDI was beneficial, Big Data collection will be required.
However, information by itself will not help assess effectiveness: it must be analyzed and weak points identified. Artificial intelligence can handle this successfully. But if it lacks feedback data, the analysis results will differ from the real situation. Such data can be obtained directly through: - monitoring social networks and review aggregators; - surveys; - complaint records from chats; - customer inquiry history.
Solving problems In almost every case, analyzing the results of the digital economy reveals weak points and shortcomings. To address them, different tools can be used, including those introduced through digital transformation. Examples are shown in the table below.
| IT solution | Effects |
| Artificial intelligence, RPA | staff optimization; automation of repetitive processes; predictive maintenance for equipment failures; notification of an upcoming software update; 24/7 access to consultations; protection from information overload; resolving customer requests; |
| Blockchain | transaction transparency; minimal risk of hacking and data leaks; the ability to automate transactions; ensuring the legality of voting, insurance, and other processes in government; |
| Integrated CIS | automation of customer service and internal business processes; efficient management of resources, personnel, procurement, etc.; driving sales; |