Challenges faced by enterprises in the era of Internet big data

No one will deny that the data under the epidemic situation is helpful to national prevention and control. Thanks to the development of big data, cloud computing, artificial intelligence and 5G technology, data can be better enjoyed and analyzed, and applications such as health codes and epidemic prevention travel cards launched by the government and enterprises enable people to circulate and check close contacts.

No enterprise is not clear about the value of data in this era for enterprise management. Through the precipitation, cleaning, mining and analysis of data, the operational efficiency of enterprises is improved, the cost is optimized and the operation is improved.

That's what happened. Driven by intelligent terminals, Internet of Things and 5G, the global data volume has increased exponentially: 20 10 years, the global data volume has just exceeded 1ZB, and it is expected to exceed 40ZB this year. Relevant data show that by 2025, the global data volume will reach 163ZB.

Under the torrent of data, the world is also moving from the IT information era to the DT data era. The industrial transformation triggered by big data has begun. IDC's "Global Semi-annual Big Data Expenditure Guide, 20 18H2" predicts that in 20 12. 1%, the overall revenue of the global big data and business analysis solutions market will reach1896.6 billion US dollars.

At the same time, during the forecast period of 20 19-2023, the related income of global big data market will reach 13. 1% CAGR (compound annual growth rate), and the total income is expected to reach $3126.7 billion in 2023.

Specific to China's big data market, the annual CAGR (compound annual growth rate) during the forecast period of 20 19-2023 is 23.5%, which is higher than the global average. By 2023, China's big data market will grow to $22.49 billion.

Although the big data market has bright prospects, companies that can really grasp the data and give full play to its value are often a few industry leaders with advantages in technology, capital and talents.

Most long-tail enterprises are at a disadvantage in the industry competition. In the transformation of the big data industry, although knowing that data is so important to management. However, limited by operating costs, talents and technology, it is difficult to find suitable tools to seize the business opportunities contained in these data.

Confusion of enterprise management under digital economy

As we all know, both the concept of "new infrastructure" at the national level and the pace of digital transformation of enterprises and organizations affected by the epidemic represent the arrival of the digital economy era.

The data is the most intuitive: by 20021year, the global digital economy will reach 45 trillion US dollars, accounting for more than 50% of the global digital economy. China is one of the leaders in the global digital economy. By 20021year, the scale of digital economy in China will reach 8.5 trillion US dollars, of which the proportion of digital economy will exceed 55%. Up to now, the growth rate of China's digital economy has ranked first in the world for three consecutive years.

However, as a promoter of the digital economy, enterprises are still unable to adopt effective solutions and properly use them for business management when facing complex Internet big data. Specifically, the challenges faced by enterprises in using Internet big data to help enterprise management are mainly in the following aspects:

One is the lack of professional market research tools or teams. Compared with IT technology used by enterprises now, big data can be said to be a new technology. For enterprises that have not deployed this technology, because there is no professional market research tool or research team, on the one hand, they will face product development and design problems because of poor data quality.

This is because enterprises can't make quantitative statistical analysis of their own market, such as whether the market scale has increased, what is the recent trend of friendly businesses, whether there are new entrants, and whether there are potential opportunities in a certain market segment. At the same time, it is difficult for enterprises to form explosions when developing, planning and promoting products because they don't know what explosive products and innovative products are on the market, and they don't know the characteristics of competing products from friends and businesses and the demand of potential markets.

On the other hand, it leads to poor store operation efficiency: similarly, due to the lack of professional monitoring and analysis tools, enterprises can't clearly grasp the online channel layout of friends, and can't realize batch monitoring of self-operated/distributed stores, automatic recording of store changes and promotion recovery of explosive products. Moreover, it is difficult for stores to improve their operations because they cannot get users' complaints and suggestions in time.

The second is the capital and cycle problems faced by deploying big data technology. Using big data to improve enterprise management is the general trend, so enterprises have either deployed big data or are considering deploying it. When deploying big data technology by yourself, it is inevitable to consider many aspects, including the purchase cost of new hardware or cloud services, as well as the recruitment cost, development cycle, operation and maintenance of developers. For small and medium-sized enterprises, this is undoubtedly a big expense.

The third is the security of data. The development of big data technology is not perfect from its birth to the present, so its own security is relatively weak. At the same time, there are many components in the big data platform. Take Hadoop as an example, it contains at least twenty or thirty components, which means that a hacker can control the whole platform of the whole group by invading a component.

Inevitably, when developing big data solutions, enterprises need to communicate with the company's original IT systems and data of various departments, and these portals also increase the security risks of big data platforms.

It is not difficult to see that in the era of digital economy, enterprises are mainly faced with the deployment, application and operation and maintenance of big data platforms in the process of improving their operation and management with the help of Internet big data.

○ This article is taken from DOIT Media's "Unleashing Data Dividends, Beautiful Clouds, Smart Numbers, Internet Big Data and Enterprise Nuggets Digital Economy". The picture is supplemented by Yinshan.