The most interesting features in the plan for internet-consulting firm

1. Calculations are doing for period of the year on the basis of real data from 24 last months experience. Besides, there were done many pessimistic corrections. 
2. Therefore all input data are fuzzy. It is absolutely incorrect to use concrete data for business planning processing. 
3. Input, intermediate and output final data are united into complex table-hierarchic STRUCTURE with concrete, fuzzy and incomplete values, distributed into many documents. It is absolutely impossible to keep such scheme in mind and do on its basis fuzzy calculations or moreover do periodically different corrections in real time mode. Even intuition cannot help here!
4. To decrease wastes for initial data input and its subsequent processing let's consider that PROBABILITIES for all events (business plan points) are equal 1, and all events are INDEPENDENT. Such simplifying in common can decrease result reliability, because very important information is cutting out from calculations. But, according to practice mentioned above, simplifying can decrease reliability not in absolutely any case. Data using in accordance with real experience, including logical dependencies, can avoid reliability decreasing. You simply ought to be very careful. Besides it, fuzzy initial data using makes absolutely impossible to receive concrete final result. A small fuzzy error as a result of necessary simplifying cannot change greatly fuzzy final data and its indefiniteness. Moreover, such error can be less greatly than error from incorrectly evaluated data, which values You decided to ignore. Fuzzy error in prognosis will present always, according to prognosis nature, because future is not determined. Therefore prognosis data must be corrected periodically in real time mode. 
5. Besides usual final data calculation (monthly distributed result and monthly distributed increasing result), it is very important to analyze business plan STABILITY. For this purpose there was created special GRADIENT function – something about "pessimistic direction", - and additional calculations were processed. In other words, You are going to see final result for data calculations, including nonlinear (fuzzy) gradient function as real tendency to income decreasing in progress. Results, including gradient function are demonstrating that indefiniteness will increase, minimum and average sums and profits values will decrease in comparison with results without gradient function, and this is quite awaiting fact. But! Final result here is unexpected and paradoxical. Biggest sums and profits values, calculated with gradient function, are always more than biggest sums and profits values, calculated without gradient function. It means that there is always a probability to receive during income decreasing a greater final sum in comparison with initial data without gradient function. So, our business plan for internet-consulting firm is STABLE on principle. Thus, left borders of sums and profits values, calculated with gradient including, give representation of the worst result (pessimistic prognosis), while right borders of these ones give representation of the best result (optimistic prognosis). You must always remember that real final results value can differ in indefinite value from the calculated ones because of possible errors and various circumstances. And of course, it is absolutely impossible to create such result for business plan with concrete data. Usually for concrete data they are having resource to different shifts, for example, using AVERAGE evaluations for various distributions. And in almost any case these average evaluations are leading to absolutely incorrect and improper results. Look here! For example, average temperature for ten thousands persons at a hospital - 36.6 C. In average this result is excellent. While some persons died already and some persons with temperature 40.6 C. Using average evaluations for financial calculations, You can receive such improper result data. 
6. Additional and very interesting possibilities are to unite result calculation data without gradient including and calculation data with gradient including into UNITED result data. Result expert conclusion: this business plan CAN BE used for the beginning of activity. 
7. At last, project directing in real time mode: after each month finishing all fuzzy data for this month ought to be transformed into concrete ones while fuzzy data for future events can be corrected if it is necessary; after transformations and corrections business plan must be recalculated. It is very easy, because all calculation formulas are generating automatically without user input, even in the case when project structure was changed greatly. In common, You are going with Your project from past into future, step by step improving results and avoiding indefiniteness. And You business plan is transforming into financial report.
8. For special attention: calculation results for single months can give You here representation of final increasing result in common - that is great difference in comparison with business plan for agriculture trade unity. 
9. For initial business plan income, wastes and common data (income minus wastes) are calculation separately. Project directing in real time mode – only common data (income minus wastes) are calculating. Besides mentioned above, for common data income and wastes are including at the same documents. 
10. Business plan structure for internet-consulting firm consists of five hierarchic levels:
I. Main archive "com_engl.arh" – for the whole business plan, and also for other plans. There are additional archives – documents from second or fourth hierarchic levels, - and also text document and OLE-documents - from fifth hierarchic level;
II. Additional archives – for single business plan variant. There are input and output data in OLE-documents - from fifth hierarchic level, and also catalog - from third hierarchic level;
III. Catalogs - for single business plan variant. There is common structure for the whole business plan calculation and analysis, calculations, analysis, packets and groups - from fourth hierarchic level;  
IV. Packets, groups, analysis and additional archives – for single business plan point (for single month, increasing result, including gradient data, without gradient data and united data in various combinations), using tables, cards and OLE-documents - from fifth hierarchic level. 
V. Tables and cards – for financial data, using these data Artificial Intelligence System can create formulas, do calculations and detect mistakes without user help.
At this hierarchic level also are:
•	Calculations;
•	Text documents (RTF-format);
•	OLE-documents, including diagrams and graphs.
Used structure is the most effective. It can give quick access to any part of business plan – to any document from many hundreds in many directories (almost 100(!) MB of disk memory). Besides it, it is necessary to mention that this structure can be created not only by single specialist at a single workspace, but by a big team of developers at many net computers as well. Each developer in this case can work out his part of business plan independently from other developers, realizing by this way real possibility of data distribution. 
11. Directory structure for internet-consulting firm based upon five hierarchic levels also and at the same time is not "flat" (in comparison with example for publishing company).