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区块链bdhc,区块链bd什么意思

发布时间:2023-12-11-13:13:00 来源:网络 比特币基础 区块   DBT

区块链bdhc,区块链bd什么意思

区块链BDHC,是指区块链商业发展和应用中心,是以区块链技术为基础,将区块链技术融入到商业发展和应用中的一个综合性的研究机构。它致力于推动区块链技术在商业领域的应用和发展,为区块链行业提供技术支持,为企业提供技术咨询服务,促进区块链技术的发展。

拓展关键词1:区块链技术。区块链技术是一种分布式账本技术,它能够记录数字资产的所有交易,并且这些交易不可篡改。它可以帮助企业更好地管理他们的数据,提高数据安全性,提高数据完整性,减少数据丢失的风险。它还可以为企业提供更加安全、可信赖的数据,以及更高效的业务流程处理。

拓展关键词2:商业发展。商业发展是指企业根据市场的变化,以及自身发展的需要,不断推进企业的发展,以达到更高的目标。商业发展需要企业做出合理的规划,制定出合理的发展策略,并且要有较强的实施能力,才能够实现企业的商业发展。商业发展的成功,不仅需要企业有良好的管理水平,还要有良好的市场拓展能力,以及良好的技术支持。

拓展关键词3:应用中心。应用中心是指一个集成了企业应用的中心,用于支持企业应用的开发,部署,维护和运行。应用中心可以帮助企业更好地管理应用,减少应用开发和部署的时间,提高应用的可用性,并且可以实现应用的集中管理,提高企业的效率。应用中心可以帮助企业更好地利用资源,提高企业的经济效益,为企业的发展提供更多的可能性。


请查看相关英文文档

『一』 Is DBT a dual-chain concurrency technology?

DBT is a dual-chain concurrency technology

『二』 Understanding of digital transformation

Digitization converts the atomic world and analog data into binary information represented by 0 and 1, and represents the physical world through bit information. This process is digitization. There is also a concept called data twin, which can also be used as another alias for digitalization.

With the development of computers and networks, digitalization is rapidly changing the operating models of many traditional industries and even giving birth to new industries. The digital transformation of Internet companies is also guiding the pace of digital transformation in many other industries.

In practice, Taobao and JD.com have changed the retail industry through e-commerce. Alipay and Tenpay have changed the business model of the financial industry. Didi Taxi has changed the business model of people’s transportation. News media The digital transformation of the industry has changed beyond recognition. These changes have even changed people's lifestyles. The people with low heads in the subway, the ubiquitous payment codes, and the couriers walking around the streets are all products of these changes. Whether it is "Internet +" or digital transformation, it is becoming an industry-wide trend. Perhaps one day the world will be like the scene described in The Matrix, where the physical world and the data world achieve true integration.

In recent years, "digitization" has quietly replaced "informatization", and the concept of informatization is not unfamiliar. Traditional informatization moves the information that was originally written on paper within the enterprise to the computer. Information is transmitted through people and between computers through the network, which improves the efficiency of information transmission and processing. Furthermore, information transformation generally requires optimizing an enterprise's business processes (BPM) and solidifying and automating them through information systems, thereby reducing process management and control costs and providing business decision support. The transformation of enterprise informationization represented by OA, ERP, and CRM systems has actually existed for many years and has been widely used. Enterprises generally have informationization departments within them, and CIOs have become important positions in many enterprises.

Many so-called "digital" transformations are actually old wine in new bottles. They are not essentially different from the previous "information technology" content, including system integration, data integration, data analysis and decision-making, upstream and downstream Opening up information is not a unique task of digital transformation. However, the new concept is also somewhat different. By definition, information work can be regarded as the basis of digitalization. The scope of digitalization is wider, and the transformation of IT infrastructure with the help of the latest technology will also give birth to Some new value propositions and business models.

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. It's also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure.
Digital transformation is the integration of digital technologies and their application across all areas of an organization, fundamentally changing the way it operates and delivers value to customers. At the same time, digital transformation is also a cultural change, which requires organizations to continue to challenge the current state, experience, and face possible failures calmly.

Another explanation I saw is "Digital transformation is the use of digital technology to promote enterprise organizations to transform business models, organizational structures, corporate culture, etc. Digital transformation aims to use various new technologies, such as mobile , Web, social, big data, machine learning, artificial intelligence, Internet of Things, cloud computing, blockchain and a series of technologies to conceive and deliver new and differentiated value for enterprise organizations. Enterprises that adopt digital transformation generally go to Pursue new sources of revenue, new products and services, and new business models. Therefore, digital transformation is the deep integration of technology and business models, and the final result of digital transformation is the change of business models."

The government’s definition of digital transformation is quite accurate, that is: deepening the government’s digital transformation and accelerating the construction of a digital government is an inward-looking government governance revolution, which is based on the government’s goal of better serving the people. , proactively adapt to the trend of the digital era, follow the four-in-one structure of "government concept innovation + information technology innovation + government process innovation + governance method innovation", use digital technology to comprehensively, systematically and comprehensively implement governance concepts, processes, methods and tools. Reshaping changes and promoting the process of modernizing the government governance system and governance capabilities.

The definition given by the Global Digital Business Transformation Center (jointly established by Cisco and IMDb, hereinafter referred to as DBT): Digitalization is a variety of technological innovations achieved through connections. Digital business transformation is the use of all-digital technology to build new business models to achieve organizational changes, thereby improving business performance.

What is digital transformation? A brief summary of my understanding:

I also saw two statements and quoted them:

“All businesses are digitalized. ", all data will be commercialized" is a sentence often mentioned by many Internet companies. I checked some information on this hot term and found two explanations that I agree with.

Refers to the process of achieving business goals for customers is being digitized, Business digitalization has actually started a long time ago, or it was called informatization before. The benefit of business digitization is that the business can be described mathematically to a greater extent, thereby achieving more sophisticated operations.

Completing the digitization of business actually requires two steps: simple digitization and process digitization (Figure 1).

The common view in the industry is that data businessization refers to: through secondary processing of data accumulated in business systems, we can find out the patterns in the data, make the data understand the business better, and use the data to drive each business. With the development of the company, data will be penetrated into the operation of each business, allowing data to feed back the business, ultimately releasing the value of data and completing the closed loop of data value operations. The above definition focuses on explaining the businessization of data from an operational perspective, emphasizing the understanding, penetration and feedback of data on the business. However, this definition does not reveal how data drives business operations, nor does it explain its principles and processes.

The author believes that the focus of data businessization lies in the word "business". On the surface, it means turning data into a business. In the final analysis, data businessization should belong to the category of product or business, and should start from the product of data. Data businessization is defined from the perspective of commercialization and commercialization. Based on this, the author redefined data businessization. The author believes that the so-called data businessization refers to: on the basis of data integration, data is packaged into products and upgraded to new business segments, and professional teams conduct commercial promotion and operations in a productized manner. From this definition, we can see that the essence of data business is the productization, commercialization and value of data. As shown in the figure below, data businessization actually emphasizes productization, new business and professional operations, that is, using data as the main content and production raw materials to create data products and follow the routine of product definition, research and development, pricing, packaging and promotion. Commercialize operations to build data products into emerging businesses that can generate revenue for enterprises.

Data businessization is a natural extension of business dataization. It can also be said to be a sublimation, that is, using the collected data for the business or product itself. There are two main levels here, one is data intelligence and the other is data innovation. The former mainly uses big data technology to improve product experience, such as recommendation systems, credit ratings, etc. The latter mainly uses accumulated data to launch new businesses.

Data is transformed into suggestive signals and becomes content to achieve business goals for customers. Therefore, analysts conduct operational funnel analysis, propose optimization plans, and promote product iteration. This is not data businessization. Because we are not facing customers, but businesses. However, if a website packages user data and sells it to customers, it cannot be called data businessization, because the data has not been transformed into customer-oriented business implementation.The content of business purposes is called data reselling at best. NetEase Cloud Music, based on my previous music listening records, uses algorithms to determine my preferences and pushes playlists to me. This is data business. Business digitization belongs to the operational category. Data businessization is considered a product category.

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