IntroductionProfessional business management will be necessary to modify the various processes, as appropriate, commensurate with the changing environment, saphapboribot. Like business management in the 21st century has introduced various innovations and technologies to the incoming communication is used to add capabilities to more competition. This is a quality business management shall send a good growth rate in the domestic economy. However, the business management to rely on data that is valid (Validity) and confidence (Reliability), so data management with precision to create a more competitive edge.An precision data management can be handled on the basis of the technology information system, information system, a choice that best suits their business critical information. A good information system should have the ability to display and report, in accordance with the demand for jobs in the business. An information system may have been designed by a program specialist or program from a variety of applications to allow for maximum benefit in applications. A good program should be developed to meet the needs of users from the report that the demand for software and innovation in the country's main industry by advance group of companies. The Office offers limited soet promotes national software industry (ongkromhachon) (July 28, 2556 (2013)) shows that the program was designed does not meet the requirements of business operation is not successful. As a result, reports that the problems and constraints in the implementation of innovation/sofwae to develop beneficial or industrial applications. When divided by category research results already in the software (Software) for this problem showed that the major problem of the software will be an issue of the finished software acquired often do not meet or comply with the business model in the industry that most entrepreneurs are seen as an expense that must be lost in higher prices, but the use of or the result of the return of the investment is not worth it.In addition to the selection of programs to manage application data. The process of filling in large quantities is one of the issues that need to be addressed. If you can import existing data without having to manually type the information as a matter of great planning. Policy, or create a business strategy to contribute to the process that is important is forecasting (Forecasting), both in terms of operation management, production, marketing, finance and accounting, human resources and administration. Forecasting business information on all sides, it will help to make the business more efficient.The prediction is that the predictions to events in advance is to predict the possibility of a situation in the future. Powerful forecasting rely on factors such as their knowledge, research experience, availability, and data integrity. The machine is used in the calculation, etc. The prophecy has been interested since the year 1960, etc. Techniques have been developed to attempt to speedy due to focus on the information in the future. Especially in business circles at present that sophisticated competition. Forecasting data in the future, it is also a way to reduce the risk of investment. An important component to be used in the prediction is data (Data), especially the information that occurred in the past, because those are the guidelines of the patterns and trends of various saphaokan in the future, therefore, to give priority to information to bring proof that it is something that should not be ignored (a small earthen cistern phasu 2549 (2006) succeeds, victory)Forecasting is usually made up of various forecasting. The model was developed from a given hypothesis, therefore, choose whether to choose what kind of proof, it is appropriate to look at what data is important. Generally considered the prediction can be used to predict which data is more likely to be considered appropriate or simply from forecasting precision. For the uncertainty of forecasting is based on four main reasons (Fair, 1980) was a staggering 1) prediction 2) estimating the coefficients in the prediction models of forecasting value 3) external and 4) define an error prediction models (Model Misspecification of) However, the reasons behind the 3 causes affect the precision of prediction. Measurement accuracy (Accuracy) in a prophecy is very important. Seen from a precise prediction of the great decisions in the various operations of the organisation also helps in planning matters or projects. Within the Organization more effectively, such as the sales forecasting accuracy will bring decided production or budget planning appropriately the risks that may be caused by a crash less. One interesting approach in measuring accuracy is a way to Change Directional Accuracy (DCA), which are the guidelines that determine the precision of the prediction of the trend (Trend) changes in presentation and accuracy in cent (Frechtling, 2002) However, these guidelines do not become widespread due to the somewhat cumbersome calculations.ในการจัดการเรียนการสอนในรายวิชาการพยากรณ์ทางธุรกิจ และการพยากรณ์การขายในหลักสูตรบริหารธุรกิจ ของคณะวิทยาการจัดการ มหาวิทยาลัยศิลปากร มักพบปัญหาการทำความเข้าใจในการวัดความแม่นยำของวิธีการ DCA จากการพยากรณ์ของนักศึกษาอีกทั้ง ในกรณีที่ข้อมูลที่ใช้ในการพยากรณ์มีปริมาณมาก จะทำให้วิธีการ DCA นั้นมีความยุ่งยากเพิ่มมากขึ้น แม้หลักการของวิธีการดังกล่าวจะมีความสมเหตุสมผลและง่ายต่อการแปลผล แต่เนื่องจากการคำนวณที่ซับซ้อนหลายขั้นตอน ซึ่งส่งผลให้การนำไปประยุกต์ใช้ในแวดวงต่างๆ นอกจากนี้ ปัจจุบันความสำคัญของเทคโนโลยีสารสนเทศสามารถนำมาบูรณาการในด้านการจัดการเรียนการสอน การบริการวิชาการ และการวิจัย เพื่อให้เกิดความรู้ใหม่ร่วมกันและสามารถเผยแพร่สู่สาธารณชนAs a result thereof. Researchers must design a program to calculate macro.
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