In his book "Seeking Better than Unknown", Ram Charan believes that what is really terrible about the uncertainty in the market is structural uncertainty, because it originates from fundamental changes in the external environment and has a fundamental impact and radical change on

2025/07/2020:43:37 hotcomm 1018

In his book "Seeking for Better than the Unknown", Ram Charan believes that what is really terrible about the uncertainty in the market is structural uncertainty, because it originates from fundamental changes in the external environment and has a fundamental impact and radical change on the industrial structure.

has entered the post-epidemic era. The ever-changing wave of digitalization, the normalized epidemic and the complex external environment have all caused the market's structural uncertainty to increase sharply. How to face the various uncertainties in the market and learn to seek growth in an uncertain market is becoming a must-answer question for growth companies.

There is no doubt that the answer to this must-answer question is: the power of data. In the big wave of digitalization, data is reshaping the operation, management, decision-making and even innovation of enterprises. The huge value contained in massive data is regarded as the fuel for growth of all enterprises.

How can we truly exert the value and role of data for growth enterprises? In recent years, the industry generally believes that a strong data infrastructure foundation is crucial, and it is the ballast for growth companies to resist market uncertainty and seek future continued growth.

What is the most needed for growth enterprises

In the commercial market, there are a large number of growth enterprises, small and medium-sized enterprises, and branches. These enterprises/organizations are often groups with full vitality, both the main force in the development of the digital economy and the main battlefield for the transformation and upgrading of the real economy. However, due to the huge differences in demand, the digital transformation of many enterprises faces complex challenges.

Specifically, many companies in the commercial market lack top-level design and unclear paths in digital transformation. According to the data from the "Digital Transformation Analysis Report on Small and Medium Enterprises (2020)", 89% of SMEs are in the stage of exploring digital transformation. Especially considering that data is becoming the "fuel" of the digital economy era, enterprises are more eager to accelerate their own digital transformation, build data-driven enterprises/organizations, and become the growers and leaders of digital transformation.

In his book

In addition, although enterprises in the commercial market are not as large as those in the industry, they are also "small but small, all-in-one" with complex scenarios, complex demands, and rapid data volume. They generally hope to use digital technologies such as AI, big data, edge computing, etc. to achieve data-driven scenarios and maximize data value. They are extremely eager to have a strong data infrastructure to support the application of new technologies and meet changes in demand.

Third, enterprises in the commercial market are subject to factors such as cost, and have weak digital capabilities and poor digital resilience. IDC believes that more than 80% of Chinese companies have poor digital resilience and are more difficult to make full use of digital capabilities to quickly adapt to the impact of business disruptions, and to innovate with market changes and the value of data to seek new business opportunities.

Ultimately, enterprises/organizations in the commercial market need to build digital capabilities with continuous growth, be able to fully utilize the value of data, and turn business to data-driven. The most important thing is to build a competitive data infrastructure and make it an engine for data value release and innovation.

Hyperconvergence: Data foundation for users in the commercial market

Nowadays, hyperconvergence is becoming increasingly popular in the commercial market and has become an important choice for users to build a strong data infrastructure.

The reason is that hyperconvergence integrates computing, storage, networking, management software, etc., and provides users with out-of-the-box methods. It has the advantages of low-starting and high-scaling, greatly reducing the complexity of infrastructure deployment, use and management. In addition, hyper-converged deployment is flexible and has rich application scenarios. In addition to private cloud/hybrid cloud environments, various edge scenarios are also very suitable for deployment. In scenarios such as smart mining, intelligent transportation, smart retail, etc., hyper-convergence is regarded as the first choice for infrastructure.

Take Huawei as an example. As a manufacturer that has been ranked first in China's hyper-converged market for many years, its hyper-converged full-scene solution has played a key role in supporting the digital transformation of enterprises, matching the diversified needs of enterprises, and maximizing data value.For example, although Huawei FusionCube 500 is just a "small box", it has the advantages of high integration, simplified operation and maintenance, and wide adaptation, and is perfectly adapted to scenarios such as coal emergency, smart transportation, smart oil and gas, smart parks, and power grid inspections.

First of all, FusionCube 500 has the full stack capability of All in 1, and supports virtualization and container environments, two nodes are equipped, and linear expansion is supported. FusionCube 500 has the industry-leading EC+ re-deletion compression technology, and the data storage capacity can be increased by 3 times, which can not only reduce the consumption of processor resources and its impact on the business, but also improve data protection and data storage resource utilization. Moreover, FusionCube 500 supports 4 AI cards, which can easily help users achieve cloud training and edge reasoning, greatly improving the intelligent accuracy of branch scenarios.

The digital person in charge of a domestic coal mine group introduced that FusionCube is deployed in edge scenarios, which not only collects data from various end-layers on coal mines and controls and manages equipment, but also provides cloud-edge collaboration, increasing the accuracy of AI recognition of coal brains to more than 98%, greatly reducing false alarms and missed reports.

In his book

Secondly, FusionCube 500 has wide environmental adaptability, no professional computer room is required, can be deployed in a regular office environment, and has multiple forms of deployment methods such as racks, towers and outdoor cabinets, which can match the demands of various edge scenarios; and the full-stack modular design greatly increases the procurement flexibility of commercial market users, just purchase functional modules on demand; plug-and-play whole machine delivery methods and powerful management software are very in line with the lack of professional IT talents for commercial market users. It is reported that the equipment launch cycle of FusionCube series products has decreased by 50% compared with conventional equipment.

Third, FusionCube 500 builds seven lines of defense from secure connection to host security and traffic suppression to help users achieve end-to-end security protection. FusionCube 500 also adopts a multi-level, multi-layer, high-reliability design, truly allowing customers to worry about business data. For example, the FusionCube 500 adopts a redundant architecture design, with full redundant software and hardware, and can realize lossless control control takeover of server performance, that is, if a single point fails, another can take over the hard disk of the failed node in seconds without the perception of the front-end service, and can achieve lossless performance under non-load; DIF guarantees data integrity, and core fault-tolerant code correction technology, end-to-end data checking and strong consistency replication protocols, etc. also further improve data reliability.

Gartner predicts that by 2025, 75% of the data generated by enterprises will be generated and processed outside traditional data centers or cloud platforms, and branches and edge scenarios will become the main battlefields for data production and analysis. It can be foreseeable that solutions like hyperconvergence will definitely assume the heavy responsibility of data base in the commercial market in the future, helping growth enterprises and others to build future-oriented data capabilities.

empowers the commercial market, and can move forward steadily by taking multiple approaches

Nowadays, the digital economy has become an irreversible trend of the times. The data from the Institute of Information and Communications Technology predicts that in the next 5-10 years, my country's digital economy will account for 60%, and a large number of growth enterprises will be the best soil for realizing digital technology application and business innovation.

In fact, the commercial market is a market with extremely complex scenarios, demands and changes. Faced with ever-changing changes, growth enterprises/organizations need partners to be able to fully empower products, technologies, solutions, scenarios and ecology, etc., so as to truly transform into a data-driven organization.

Taking Huawei Storage as an example, in response to the current situation and needs of the commercial market, it has begun to take three aspects: comprehensive products, scenario-focused solutions and partner ecosystems to truly inject continuous data vitality into commercial market users.

At the product level, in addition to the hyper-converged series of products, Huawei Storage has focused on products from multiple dimensions, expanding its boundaries, and supporting changes in the application of the commercial market. At present, Huawei Storage has created a variety of products such as OceanStor 5110F/5210F, OceanStor 2810 computing storage, OceanStor 2210, DPA data protection all-in-one machine for the commercial market, covering intelligent all-flash memory, intelligent hybrid flash memory, full-scene data protection, etc.

In his book

At the solution level, in view of the characteristics of complex business market scenarios, wide applications and many needs, Huawei Storage has joined hands with its partners to build scenario-based solutions for five key industries such as small and medium-sized enterprises, district and county medical care, general education and vocational education, hazardous chemicals/gas stations, and video storage, creating a short, flat and fast delivery experience. At the same time, it uses OpenLab to fully open cooperation and compatible certification, and effectively cover the applications of edge mainstream vertical industries.

For example, FusionCube hyper-converged full-scene solution can provide full coverage from edge to core data center products for five application scenarios: virtualization, desktop cloud, database, smart park, and enterprise branches, and meet various needs such as ERP/MES/office for growth enterprises.

The "14th Five-Year Plan" National Informationization Plan clearly states that the real economy has entered a new normal of digital and intelligent transformation and upgrading, and enterprises need to fully release digital productivity. Looking to the future, if small and medium-sized enterprises want to reverse the disadvantage of being in the "ecological niche" of innovation, how to build a strong data infrastructure and maximize data value is the most critical. Huawei Storage takes multiple approaches from products, solutions and ecology, and will inevitably achieve big returns through small investments and work with many growth companies to achieve win-win results in the wave of the digital economy.

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