Business intelligence--the last kilometer of enterprise informatization

Enterprise Informatization (Enterprises informatization) is essentially the digitization of business processes, such as production process, material movement, transaction processing, cash flow, customer interaction, etc., through various information system network processing to generate new information resources, to provide people at all levels of insight, Observing all kinds of information in the dynamic business to make the decision which is advantageous to the combination optimization of production factors, make the enterprise resources reasonable disposition, so that the enterprise can adapt to the rapidly changing market economy competition environment, and obtain the maximum economic benefits.
The general process of enterprise Informatization is basic application (collaborative OA, simple accounting, corporate website, simple payroll accounting and simple employee assessment, etc.)--Key applications (accounting, basic cost and money management, enterprise core business system and human resource management, etc.)--extended integration and Optimized upgrade application (whole supply chain application , CRM, PLM, e-commerce and other integrated ERP applications)--strategic applications (business intelligence)
Thus, business intelligence is the last kilometer of enterprise informatization. This kilometer is also the most difficult process before reaching the finish line, that is to say, business intelligence is difficult to enter the enterprise successfully. Why do you say that? There are two reasons.
1, software vendors do not promote
throughout the current domestic mainstream software manufacturers, they are very active to their old customers to promote their own other information technology products, but there is little effort to promote bi business intelligence, because they do not invest in BI research and development. So why are they reluctant to invest in BI? One is because the development of BI than ERP and other products to the technical requirements more stringent so that if there is no large investment is difficult to produce good products, the second is the domestic bi market is only in the reclamation state, most enterprises on the demand for BI is not clear or strong, software vendors and their investment in a lot of time and energy to develop independently, It is better to work with foreign professional bi manufacturers, and since it is not their own products, the promotion of enthusiasm is greatly reduced, sales setbacks and even stop trying after the phenomenon is also common.
2, the enterprise information purposes are not clear, bi needs to be excavated
now although most enterprises have joined the tide of informatization, but if you ask them why to carry out information, the answer is probably all for easier office management, and some even just blindly follow the trend of the times. For example, production planning of a large amount of work, is not allowed, on the production management software, want to all over the country's marketing agencies to collect information in a timely manner, so on the previous distribution system.
This is actually information easy to step into a misunderstanding, a lot of people on the information is too shallow or expect too much, most of the managers still stay in the thinking of relying on experience decision-making, the role of information is only to support the basic operation of enterprises.
While BI compared to other information-based products, it requires the boss own information awareness, but this for the current Chinese business decision-makers, there are some requirements too high. And many managers think that the enterprise has the information system to meet the daily management enough, no longer need business intelligence system.
3, the cost of high price, the enterprise because the short-term benefits of the abandonment of the
deployment of a business intelligence system is often very expensive, many business owners even with the awareness of information, but also because of the risk of deploying BI and then comforted that the original information management system is enough, No need to spend a lot of money to implement a set of BI.

So is business intelligence necessary for businesses, especially small and medium-sized enterprises? The
answer is yes, need. The reasons are as follows:
1, avoid the risk of decision-making, increase the income of the enterprise
statistics show that China's enterprises are currently less than 7% effective utilization of data, many decisions are made without sufficient information support. IDC Research data shows that 37% of business decisions still rely primarily on "intuition" or instinct. But intuitive decision-making is unreliable in most cases. According to Microsoft, more than 74% of business decisions fall behind schedule or fail, losing $ more than 74 billion a year.
Now most business intelligence BI tools have error warning features, such as soft Finebi, which can help you quickly identify critical data errors and correct them in a timely manner. In addition, its unique intelligent factor analysis function can help enterprises to reduce decision errors, because an indicator or aggregated data is often affected by a number of factors, such as sales will be affected by product quality, sales area, time, sales personnel, agents, sales strategy, the price of similar competitive products and other factors, And when the end-customer analyzes it, it needs to have an understanding of the overall impact factors. The previous BI tools were to add these analytic dimensions to the final presentation layer in advance to let leaders or business people choose, the problem is two: high communication costs, need to let the technical staff clear business needs, modify the impact factors complex, add delete factors need to notify the technician. Finebi's intelligent factor analysis directly targets the final analyst, providing all the influencing factors and intelligently judging the key factors through the optimized algorithm.

2, improve Office efficiency, save office hours
Think about how many people in your company spend a lot of time learning code and fixing bugs? Perhaps you are suffering from a business information island? Perhaps the successful implementation of the project, but the late demand changes can not be timely maintenance? Or, frankly, your time is all about tossing Excel, isn't it?
According to the survey, each employee spends an average of about one week each year dealing with computer and application problems. IDC's research data show that the complexity of it in 2003 caused US companies to lose nearly $750 billion.
If your business has been building information for many years, then ERP,OA,CRM these systems must accumulate a lot of data, but they are relatively independent, if you want to do a unified analysis of data, the workload must be very large.
This time you need a business intelligence products, to help you build a data warehouse, ETL analysis, for you to encapsulate a good enterprise unified set of indicators, Data Intelligence Association, so that you can easily carry out multidimensional analysis of data, drilling, display and so on.
Still take finebi example, it unique data preparation module and Index Analysis factor model, on the basis of fixed data can greatly reduce the need to change the data preparation and communication time, really achieve a short implementation cycle, late also need not put too much manpower and time to maintain the system, to solve the changes in demand.
and Finebi Business intelligence platform processing data performance is very good, for hundreds of billions of data, the summary calculation is completed within 10s. For the display of the schedule, all within 1s can be completed. ”

3, explore potential business opportunities, promote enterprise development
Compared with the information management system is to provide some summary report for a department or project, the business Intelligence system can provide decision information or forecast data or discover the law and knowledge hidden in the business activity for all levels of management management personnel in the enterprise.
A lot of information in the enterprise may contain many potential laws, such as the customer's buying habits, the best cross-sell portfolio, and so on, this information through simple statistics or summary is not found, you must use some mathematical algorithm to analyze the data to find these laws, thus establishing a business model, Provide to the management decision-making simulation analysis, uncover valuable business opportunities, and promote the rapid development of enterprises.

In summary, business intelligence as the last kilometer of enterprise informatization, although the cost of sweat may be more than the previous combination of all, but when you insist on running out of this kilometer, your big data can be converted to big value, but also only across the bottleneck, enterprises can continue in the information age in the increasingly fierce market competition to maintain a place and sustainable development.

"For more information on business intelligence, business intelligence solutions and business intelligence software downloads, visit Finebi Business Intelligence official website www.finebi.com"

Business intelligence--the last kilometer of enterprise informatization