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Text | Ring says
ChatGPT exploded, what exactly did it bring?
Some people say that it allows the general public to intuitively feel the ability and value of "intelligence" for the first time in an intuitive way for the C-end.
As long as you boldly "ask", an intelligent application can "give a response", fast and good.
Therefore, after "chatting", how ChatGPT products can enter the B-side commercial scene has become the general expectation of the industry-who doesn't love things that can improve efficiency and quality while reducing costs.
However, if you pay attention to digital innovation for a long time, especially in the field of data analysis, you must be familiar with the value presentation of this intelligent application and product.
Business intelligence, or Business Intelligence, or BI for short, has actually been doing such a thing.
Simply put forward your own needs, and a properly designed BI product can provide all kinds of data analysis results you want, helping with management, operations, sales, and so on.
BI has been developed for decades and has in-depth applications in various industries.
People's expectations for ChatGPT products have already been fulfilled by BI in the data industry.
And this kind of intelligence, in a specific period, has unique value for the digital transformation of a specific industry.
City commercial banks are typical.
Since the first city commercial bank was established in 1995, after nearly 30 years of development, city commercial banks have blossomed everywhere and become an important role in the financial industry.
Under the complex economic situation and the demand for economic construction, the current city commercial banks are facing the general pressure of internal and external changes.
Digital transformation has become a common choice of city commercial banks - from the underlying hardware system to application layer innovation, many innovation explorations of financial enterprises have occurred in city commercial banks.
Among them, BI, which can directly face data and directly promote business efficiency, has become a common choice for city commercial banks.
Data applications are "difficult" inside and outside, and city commercial banks seek breakthroughs from BI
It is said that Internet finance has stimulated the banking industry to strengthen data mining and other actions, but it is undeniable that the banking industry has embraced data very early.
Beginning with IBM's settlement system, financial technology in the banking industry has been advancing.
Among them, improving business efficiency through the effective use of data is an important content.
This is especially true for city commercial banks that are more active in scientific research and innovation.
For example, Bank of Changsha has integrated data applications into daily operations, management, marketing, and risk control a few years ago, seeking value and benefits from data everywhere.
At present, Changsha Bank has established five core platforms in general: intelligent marketing platform, user behavior analysis platform, artificial intelligence model management platform, intelligent outbound call platform and real-time data computing platform, which promotes efficient management and operation of digital operations.
However, this approach gradually faces an internal "bottleneck" problem:
When the business is developing rapidly, the demand for daily data extraction and analysis is increasing, and if this demand is submitted to the data analysis department for implementation, it will face the "blocking" of task execution-people who know data analysis do not understand business, but people who understand business do not know how to analyze data, and a lot of time and cost are spent on demand communication. "Chuhe" and "Hanjie" are distinct.
However, the most important data acquisition and analysis links do not take too much time and cost, they are always in endless scheduling and waiting.
When Bank of Changsha became more and more dependent on data, and even the latter became a necessity, this bottleneck seriously affected the value that Bank of Changsha should have obtained through data applications.
This has become a kind of internal friction that no one wants to see, and it exists objectively in many city commercial banks.
However, the external market does not give city commercial banks the opportunity to spend a lot of time communicating repeatedly.
Although city merchants are developing rapidly, for example, Changsha Bank, which was established in 1997, has exceeded 800 billion yuan in assets, and city commercial banks with trillions of dollars are just around the corner. However, there is still a gap in dimension between city commercial banks and several large state-owned banks.
In terms of technology, resources, and talents, large state-owned banks have more advantages, and they can go deeper in data application.
However, the two banks compete in the same market and will not favor you just because you are weak.
In the incremental dimension, a user may be targeted by multiple banks at the same time, and whoever can first discover the most accurate financial needs and provide the most appropriate products and services will win the choice.
In terms of inventory, Bank of Changsha's 16.1352 million retail customers and 912,100 wealth customers are likely to be customers of other banks at the same time. They have been deeply analyzed by other banks using data, and some targeted products and strategies are on the way.
At this time, city commercial banks like Bank of Changsha must solve the problem of internal demand communication and accelerate the pace of data application in order to achieve a breakthrough in the era of digital economy.
In the end, what Bank of Changsha did was to cooperate with Smartbi, an external think tank, to build a big data intelligent analysis platform, that is, to implement BI in the whole bank, so that business personnel can reduce their dependence on the technical department and conduct data analysis independently, so as to Improve work efficiency and promote digital operation of the whole bank.
Chuhe and Han are eliminated, business is technology, and technology is business.
In 2021, after the upgrade of the platform, personnel in the business department have self-developed about 600 reports and more than 100 kanbans through the platform.
In 2022, the platform will maintain a single-season traffic growth trend of more than 10% every quarter.
Before the platform went online, it took at least 60 days for Bank of Changsha to produce a related report from project approval to launch. Now the business personnel handle it by themselves, and it can be completed within a few days including the reporting requirements.
Management scientists say that agility is an organization's key weapon against external complexity.
It is this kind of agility that the BI project brought to Changsha Bank by solving internal conflicts in communication and attacking the market efficiently.
Under fierce market competition, BI "ease of use" is the biggest desire of Chengcheng Commercial Bank
Specifically, Smartbi helped Bank of Changsha establish a big data intelligent analysis platform, which can be applied to five major sectors: detailed query, instrument self-service, SQL exploration, perspective analysis, and data broadcast.
Based on Smartbi's accumulated capabilities, this platform has multiple advantages, such as diversified data support, supporting different data sources to obtain data; supporting multi-analysis functions, helping business personnel understand the correlation behind it, "knowing what is and knowing why "; Efficient report design, provides a wealth of templates, and so on.
However, according to Luo Lan, general manager of the Big Data Department of Changsha Bank, the "ease of use" of the platform is the most valued ability.
The simple and beautiful user interface and operation process allow salesmen to use it almost "without training".
This is in line with the requirements of getting started quickly and landing quickly in the fierce market competition environment, and to a certain extent, it also makes up for the gap that the digital foundation is not as good as that of large state-owned banks.
Behind this is the result of Smartbi simply developing the popular "low code" into "no code".
In 2021, Smartbi opened up the connection with the data laboratory in the function upgrade, and built a data service system for self-service consumption. The front, middle and back office departments can customize traditional reports, kanbans, and labels according to business needs, and carry out flexible management. Data self-consumption.
In this way, the pressure on IT staff is reduced to the greatest extent, and the "internal friction" of demand communication is close to zero, and the bank can focus more on business thinking, business development and management innovation.
Going back to the beginning, the internal reason why ChatGPT products are so popular is that they have become intelligent to a certain extent, and they can no longer raise any technical requirements for demanders, and they can get rich results as long as they give instructions and input.
The essential reason for the popularity of ChatGPT is "no code", which is ease of use.
The BI practice of the city commercial bank has been on such a road in the form of a big data intelligent analysis platform.
From the perspective of the general trend, "low code" aimed at reducing the work needs of IT personnel and improving the efficiency of business personnel will eventually develop into such "no code".
The city commercial bank made a sample with BI first.
Of course, how this "ease of use" came about is related to Smartbi's long-term deep cultivation in the financial field.
Involving multiple departments within the enterprise, BI, as a To B service, also has the value of "smoothing the information gap" similar to the consulting industry.
Customers, especially those with relatively weak market positions, also hope to obtain "benchmarking experience" through service providers such as Smartbi.
Smartbi was chosen by Bank of Changsha. The breakthrough in ease of use is inseparable from the long-term cooperation with Minsheng Bank and other customers, and has accumulated rich experience in practice.
In other words, in the cooperation with Smartbi, Bank of Changsha has also absorbed the advanced practical experience of the whole industry in BI and even digital transformation.
Under the "ease of use", there are three major requirements for city commercial banks to do a good job in BI
"Ease of use" is a label from a product perspective.
Judging from the practice of Changsha Bank, if city commercial banks want to play BI well, there are still three aspects that must be coordinated well.
One is its own data accumulation.
BI is a typical field of "a clever woman can't cook without rice". There is no rich data as a solid bottom layer, and various business data analysis is worthless, and "ease of use" has no root.
The cooperation between Bank of Changsha and Smartbi is based on Bank of Changsha's past accumulation of a large amount of market data and active data governance.
These efforts are not necessarily for BI, but they can support BI to output various results to the greatest extent.
The second is the presentation of the landing results of the platform itself.
The implementation of digital transformation has always been a long-standing problem. No matter how good the platform and application are, no matter how easy to use, if the front-line employees do not agree with its value, it is easy to let it go.
For those front-line employees of Changsha Bank, no matter how cool the "digitalization" is, it is not as practical as the performance.
The early application of the big data intelligent analysis platform in Changsha Bank has proved its ability to directly help employees improve their performance.
Successful cases, together with the platform itself, are systematically sorted out and publicized.
This also shows that many times digital transformation projects fail because they cannot bring actual value to employees and are only considered "extra burdens". No downward responsibility.
The third is organizational structure adaptation.
The essence of BI projects is the process of integrating industry, technology, and data that financial institutions are pursuing. Generally speaking, this integration must be accompanied by organizational transformation and optimization.
On the basis of the usual training, Bank of Changsha also made some adjustments and adaptations to the organizational structure.
Among them, there are not only the separation and combination of management and departments, the adjustment of functions, but also the functional guarantee at the grassroots level.
In many head office departments, Bank of Changsha has set up special posts for data analysis, using the big data BI platform to give full play to the value of digital assets and empower the frontline battlefield.
Unlike many industries that talk about the concept of digitalization and top-level design, city commercial banks have already implemented digital transformation.
epilogue
BI has been deeply applied in many industries, but it faces unique challenges in the development of the banking industry.
BI, which naturally needs to be close to data, will naturally face more stringent data security and compliance requirements in banks than other industries, and the data itself will be more complex.
This also tests the ability of BI project construction. After all, ease of use often conflicts with the above requirements.
In cooperation with Bank of Changsha, Smartbi realizes the multi-level online authorization function through interface-based and process-based authority control, which simplifies the data authorization process and improves the efficiency of data authority application.
Coupled with encryption, desensitization and other methods, the requirements of security, compliance and ease of use have been met at the same time.
For BI, working hard in the banking industry is gnawing the hardest bone.
For city commercial banks, BI with in-depth practical capabilities is a necessary starting point for seeking market breakthroughs in the digital economy era under a series of regulatory requirements.
Bless BI, bless city commercial banks.
*The pictures in this article are all from the Internet
*This content is original by 【铃铃说】, without authorization, anyone may not use it in any way, including reprinting, excerpting, duplicating or mirroring.
#铃铃说Focusing on digitalization of enterprises and upgrading of industrial intelligence, this is an in-depth interpretation of NO.340 focusing on new technologies, new models, and new ecology related to entrepreneurship, industry, and business to reduce costs and increase efficiency
【over】
had rang the bell
1Top 10 authors of the year for venture capital and technology websites such as Titanium Media, Pintu, and Everyone is a product manager;
2 Tiger Roar Award judges;
3 Authors: Authors of best-selling books such as [Mobile Internet + Business Opportunities under the New Normal];
4 Special commentator for nearly ten newspapers and magazines such as "China Business News", "Business Circle", "Business Circle Review", "Sales and Market";
5 Nearly 80 columnists including Titanium Media, 36kr, Tiger Sniff, Jiemian, The Paper;
6. The creator of the concept of "brain artist" (brain craftsman), which has evolved into "We Media" and has become an industry;
7 Honorary Mentor of Tencent All-Media School, Communication Consultant of Several Technology Intelligence Companies.