Business statistics concepts and applications

Business Statistics

Numbers are unable to converse with human beings. Should we look with purpose; numbers can tell us a lot. In the area of mathematics an entirely new branch of study called statistics has been developed for this purpose. (Statistics) Knowledge of statistics permits one to collect data intelligently, then study this data and interpret it in a manner suitable to proper decision making the use of statistical concepts and statistical thinking go al long way to solve problems in wide contexts, give substance to decisions we make and reduce the guesswork in our analysis. (Statistical Thinking for Managerial Decisions)

Business Statistics may be looked upon as a branch of science that enables us to make the right decisions, when things are not sure. Business Statistics has its uses in many areas. Financial analysis, econometrics, auditing, production and operations including the improvement of services, and marketing research. (Business statistics) Business Statistics is capable of embracing the challenges of the present age of information technology in many ways. By developing modern computer simulation algorithms, it is possible to create estimation models, in both economics and business and can be done more accurately than possible otherwise. In addition study into large data sets are also made possible. High frequency financial data and data from energy marjets are examples of this. This provides this disipline strenghts in financial econometrics, micro-econometric modeling, business forecasting, computationally intensive estimation methodology, Bayesian econometrics and international trade. (Welcome to the Discipline of Econometrics and Business Statistics)

Acquiring skills in Business Statistics enables one to make analysis of data and take decisions using a gamut of statistical analysis packages or programming environments. Business Statistics wields a high level of influence in high-level, strategic analysis of real-world areas of difficulty across the boundaries of disciplines. We see a lot of collective actifity in fields such as risk in financial markets, the modelling of the choice of consumers and behaviour of corporates, and in the creation of indices to measure political risk. Such activities have only enhanced the importance of Business Stattistics. (Welcome to the Discipline of Econometrics and Business Statistics)

The relevance of Business Statistics takes a leap upwards, when we look at the interdependence of economies and the large the opening up of global market challenges. The level and sources for any Organization has now become even greater. The levels of risk have also become greater as the area in which a business operates has been opened up to global competition. The meeting of these new demands on management skills is a new chapter in the area of Business Statistics. It provides a set of tools for Organizations to create some sort of order in the modern world, as it provides a way to make decisions using numerical data, when faced with uncertainty. (Using Data)

Data is raw knowledge and has to go through a sequence to become knowledge and so it moves first to information and then to facts and in the end from facts to knowledge. Relevance of data in the solving of a problem converts the data to information. When this information is supported by data it becomes a fact. The successful use of a fact is applied successfully in a decision process it becomes knowledge. The acquiring of large amounts of facts integrated into knowledge makes the Organization ready to face the challenges of the modern competitive environment. To business professionals a statistical toolkit is essential. These skill sets will enable them to solve problems by intelligently collecting, studying and interpreting data. (Statistical Thinking for Managerial Decisions)

America with its free enterprise environment is competitive and that require Business managers to be really skilled. They must make quality a part of the design of their products and in the production of their products. It is necessary that they create a process to make continual improvement at every stage of production and service an integral part of the Organization. For this strategy they need to make use of statistically designed experiments and produces processes that not only give a high yield, but also products that do seldom fail. This will also enable the creation of long lasting products that can withstand changes in environment and internal component variation. Statistical studies can also remove hurdles to high quality and good productivity through all stages of production. Time and money are also saved increasing the competitiveness of the Organization. (Statistical Thinking for Managerial Decision)

Systematic forecasting is common to most American Organizations. This means they set medium term goals may be up to five years. This requires that they make detailed and precise judgments, so that their medium term goals are met. This has made the methodology require sophisticated business statistical applications. (Statistical Thinking for Managerial Decisions) Long-term planning in business normally makes it necessary to make estimations regarding the future and extrapolations of the past, is used for this. The trends can be identified, but these may be accurate for a short time and in it lay the danger of forecasting by extrapolation of the past, since data cannot be expected to forecast something that has not happened. It is here that the importance of strategic planning has relevance. Strategic planning adds more control into a situation where the outcome is more likely to be taken on the probable occurrence of an event or set of events in the near or distant future. This only implies that forecasting should not be the only prop for Organizations as if it is so it will leave them open to the effects of change. (Forecasting and Trends)

An important area in the field of long-term planning is that of investment. Organizations need to tackle the problems arising out of committing funds to purchase of land, building, and machinery and so on and so forth, looking forward to being capable to earn more income than what was invested by way of funds. To take care of this decision-making too Organizations need Business Statistical models capable of handling the amount of fund outflows and inflows, how long these investments are required, the amount of risk involved and the cost of securing these funds. We can list the main stages of capital budgeting as forecasting investment needs, identifying projects to meet needs, assessing the options, opting for the best alternatives, expending the funds and monitoring the projects. (Investment Appraisal)

Therefore we see that in today's world good decisions are taken on the basis of data by almost all Organizations. In any business environment a wide variety of data is available for assessment using analytical insight. Business managers and professionals are have to now make decisions using data and justify it and so require statistical mode-based support systems for decision making. (Statistical thinking for Managerial Decisions) This requires the use of permutation and combinations in their analysis of data and in the statistical models that support. Permutation and combinations provide the scope of looking at different scenarios in a business environment. The chance that a particular event will occur or occur with a certain degree of certainty is assisted using permutation and combinations. This makes the decision making easier and also more certain.