Galaktikasoft

Rating analysis methods for Objective rating analysis

Rating analysis methods are based on a weighted scoring.

Weighted scoring is a method for ranking and evaluating objects of analysis based on several weighted (balancing) criteria. The evaluation criterion is an indicator, a measure, a measured characteristic.

The following methods of analysis are implemented:

For the evaluation criterion (further Indicator) the user defines:

Property Description
Normative The normative value of the indicator
Weight Indicator weight
Direction of improvement Direction of indicator improvement: better more (more) or better less (less)

 

Weighted scoring

Self-weighted scoring based on the values of all evaluation criteria according to the methodology described below.

Analysis Method

The user defines:

By default, all criteria are given the same weight, which corresponds to equal importance.

The program calculates:

The value of a synthetic criterion does not make economic sense, but it makes it possible to characterize each object of analysis with a single number.

You can dynamically change the criteria and their weights, getting a flexible evaluation model, shaping it in accordance with your goals, priorities, and tasks.

In this way, you create a scoring system for assessing the objects of analysis, effectively calculating the total value of each of them.

Rating features:

Based on the value of the synthetic criterion, it is possible to carry out an ABC classification according to the classical scheme.

Hamburg score

Weighted score based on the score ratings of all evaluation criteria.

The Hamburg score is an evaluation of something without discounts and concessions with the utmost exactingness. Phraseological turn, concerning the true system of values, free from momentary circumstances and selfish interests.

The evaluation rating is formed according to the algorithm:

IF [Direction of improvement] = more

THEN ([Indicator value] - MIN()) / ( MAX()-MIN() )

ELSE ( MAX() - [Indicator value]) / ( MAX()-MIN() )

Where:

MIN() - the minimum value of the indicator in the set, including the normative

MAX() - the maximum value of the indicator in the set, including the normative

This is followed by the calculation of the Synthetic Criterion Value according to the Estimated Rating Values ​​according to the analysis methods described above.

Examples of calculation

Criteria Properties

||A | b | c | D | e | ||---|---:|---:|---:|---:| ||Parameter\Indicator | Reseller Sales Amount | Reseller Order Quantity | Reseller Freight Cost | Reseller Tax Amount | |1|Normal | $50,000,000.00 | 60,000 | $600,000.00 | $2,000,000.00 | |2|Weight | 70% | 20% | 4%| 6% | |3|Direction of improvement | more | more | less | less |

Criteria values

||A | b | c | D | e | ||---:|---:|---:|---:|---:| ||Object of evaluation\Indicator | Reseller Sales Amount | Reseller Order Quantity | Reseller Freight Cost | Reseller Tax Amount | |1|Bikes |$66,302,381.56|75,015|$1,657,560.05|$5,304,190.40 | |2|Components |$11,799,076.66|49,027|$294,977.15 |$943,926.12 | |3|Clothing |$1,777,840.84 |64,497|$44,446.19 |$142,227.25 | |4|Accessories|$571,297.93 |25,839|$14,282.52 |$45,703.83 |

Rating calculation

||A | b | c | D | e | F | G | h | I | J | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|- --:|---:| ||Object of evaluation|Reseller Sales Amount | WRSA | Reseller Order Quantity | WROQ | Reseller Freight Cost | W RFC |Reseller Tax Amount | W RTA | Value

 

[B]*[C]+[D]*[E]+[F]*[G]+[H]*[I]

| |1|Bikes |$66,302,381.56|0.7|75,015|0.2|$1,657,560.05|0.04|$5,304,190.40 |0.06|46,811,224| |2|Components |$11,799,076.66|0.7|49,027|0.2|$294,977.15 |0.04|$943,926.12 |0.06|8,337,594 | |3|Clothing |$1,777,840.84 |0.7|64,497|0.2|$44,446.19 |0.04|$142,227.25 |0.06|1,267,699 | |4|Accessories |$571,297.93 |0.7|25,839|0.2|$14,282.52 |0.04|$45,703.83 |0.06|408,390 |

where W - Weight - Weight coefficient

User Calculations

User calculations for calculating the value of the synthetic criterion

- - -Weighted scoring- - -

- - - the sum of the values of all evaluation criteria multiplied by their weighting coefficients

- - - Hamburg score- - -

- - - the sum of the evaluation ratings of all evaluation criteria multiplied by their weighting coefficients

- - - evaluation rating for "better more" indicators- - -

- - - evaluation rating for "better less" indicators- - -