Living in an era of big data, we alone generate all kinds of data every day. For businesses, it is even more so. Almost every large and medium-sized enterprise has its own OA system or ERP system, which accumulates a large amount of data. How to deal with these data? How to use these data to generate greater value? These problems cannot be solved by traditional data processing methods, so BI came into being. The question we are going to discuss today is, why should companies implement BI?
From the meaning concept conveyed by FanRuan's product FineBI - "freely release the potential of data", the solution is fast and simple data analysis. From the perspective of enterprise application solutions, it can be analyzed from the following perspectives.
Changes in the data analysis system
The first way for enterprises to carry out informatization is to use independent systems such as OA and ERP. After running for a period of time, more and more data will be accumulated. This data includes orders, inventory, customer information, supply chain information, and more. In the past, the commonly used tools for processing data were reporting systems such as EXCEL, Crystal Reports, and FineReport, and our analysis of data was only limited to statistics of existing data and descriptive analysis. The final data report can only reflect one-sided problems, and cannot make predictions about the future.
After entering the DT era (data era), we not only have to face larger data, but also have higher requirements for these data. For enterprises, problems such as huge amount of data, relatively independent departmental data (data silos), and too much unstructured data have plagued the data mining and analysis personnel of enterprises to a large extent. Therefore, the emergence of business intelligence solutions can effectively solve these problems, and can analyze enterprise data to a certain extent, help decision-makers make timely judgments, and effectively predict future trends.
Why use BI
With the advent of the era of big data, enterprises have an increasing demand for data processing. Traditional data processing methods are far from meeting the requirements of enterprises. Therefore, for enterprises, business intelligence solutions are their urgent needs.
So, for ordinary enterprises, after using the BI business intelligence system, what role can it play? A simple summary can be expressed in 36 words:
Integrate information silos and analyze problems holistically;
Improve decision-making quality and in-depth analysis of problems;
Data mining forecast, long-term analysis of problems.
Not only that, business intelligence can play a big role in the enterprise, not only in the business of the enterprise, but also in its own personnel management and development direction.
Understand the operation status : Through the analysis of data, business intelligence can allow enterprises to guide the current performance of the enterprise and changes in product sales; and can predict the future trend; timely detection of existing problems.
Performance measurement : By analyzing the data of employees' performance completion, attendance and other data, it is possible to effectively and fairly evaluate the performance completion of employees, and give reasonable rewards and punishments to employees.
Improve Relationships : Business intelligence can also be integrated with customer relationship management to effectively provide customers, employees, suppliers, shareholders and the public with useful information about the company and its business conditions, thereby increasing the visibility of the company and strengthening the overall information. consistency. Using business intelligence, companies can quickly detect problems and recommend solutions before they turn into crises. Business intelligence can also help strengthen customer loyalty, and an engaged and well-informed customer is more likely to buy your product or service.
Create profit opportunities : Enterprises that have a variety of business information can also sell the information for profit.