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Diseño del lazo de corriente

4. Diseño del controlador

4.3. Diseño del lazo de corriente

Description

Focus

Targets

Analysis and Resources

Calculation

Data Profile

KPI 16

Overall notes

When sales data is not available for calculation, marketers can use the square footage of the stores, as an approximation of their sales levels.

Additional resources

Î http://jan.ucc.nau.edu/~rml/adv311/process/research/

lesson/sld009.htm References

1. Kevin, J. C., Krieg, P. C. and McGarry Wolf, M. (2006), Market new products successfully: Using simulated test market technology. Maryland: Lexington Books, available Functional Areas Sales and Customer Service

Sub-categories Sales KPI Record sK2313

Definition Measures the brand or product availability, as a result of numeric distribution, weighted by its share of all commodity sales.

Variations % ACV distribution Related KPIs % Adjusted trial rate

% Product category performance ratio

Purpose To indicate the customer traffic in stores that sell the brand.

BSC perspective Customer

Objective measured Improve inland distribution of products

Threshold examples

  

Red: <40% Yellow: 40-60% Green: >60%

Target setting notes

Threshold example is for reference only. However, the higher the results, the more exposed has to be the product to the customers visiting the stores.

Subordinate metrics A = $ Sales of stores that stock the brand

B = $ Sales of all stores Calculation formula (A/B)*100

Trend is good when Increasing

Data capture period Month Standard reporting

frequency Monthly

Data collection

method Sales reports

Limitations Accurate reporting requires access to sales data of all stores.

Industries Any Sub-categories Any

Tags offer

at: http://www.amazon.com/Market-New-Products-Successfully-Technology/dp/0739111795

2. Farris, P. W., Bendle, N. T., Pfeifer, P. E. and Reibstein, D. J. (2010), Marketing metrics: The definitive guide to measuring marketing performance, Second Edition, available at: http://www.amazon.com/Marketing-Metrics-Definitive-Measuring-Performance/dp/0137058292 3. Baye, M. R. (2001), Proposed merger between Heinz and Beech-Nut Scrutinized, available at: http://faculty.

lebow.drexel.edu/HammoudehS/Managerial/Heinz_case.

pdf

In Practice Recommendations Scorecard Outlook

Dashboard Outlook

An intricate key performance indicator in itself, the % All commodity volume (ACV) distribution is gaining popularity, especially, with distribution channels worldwide. The important fact with this indicator is, that it measures the number of stores selling one product, while also weighing the stores based on their size, in the KPI calculation formula. An informed distribution in the volume of one product, based on the size of the stores that make it available to the end consumer, is especially important for the accurate distribution of products based on the stocking and display requirements of individual retail units.

The most important benefit of % All commodity volume distribution is that it provides valuable insight into consumer traffic and demand for a certain brand, as per the retail store that sells it. This allows for an analysis of the sales levels generated by different stores, while also taking into account the size and capacity of the stores considered. A downside of the % All commodity volume

Perspective Customer

Strategic Objective Improve inland distribution of products

KPI Results

% All commodity volume (ACV) distribution % All commodity volume (ACV) distribution

distribution is that it does not appraise the merchandising and marketing efforts that each store puts forward in order to sell products that pertain to a particular brand.

Some recommendations on increasing brand visibility include:

 Research analysis of consumer traffic and consumer segmentation data

 Integrating all commodity volume distribution data into market analysis models and key branding techniques

 Focusing on the retailers that produce the best results and developing strategies to maintain profitable collaborations

 Benchmarking on best practices for leveling out all commodity volume distribution

 Regular communication session with retailers on best merchandising and marketing strategies.

M1

results Trend Target %Target

complete Results

% All commodity volume

(ACV) distribution sK2313 M 45% 40%

70% 57%

# Earned man-hours

Description

Focus

Targets

Analysis and Resources

Calculation

Data Profile

KPI 17

Overall notes

Involvement of organizations, especially the construction companies, in measuring earned man hours reflects the maturity of project management. Dividing the earned man-hours by the actual man-hours provides a productivity index that is frequently used in construction projects.

Functional Areas Portfolio and Project Management Sub-categories Project Management

KPI Record sK347

Definition Measures the total man-hours

corresponding to the completed work in place.

Variations # Man-hours with completed work in place

Related KPIs % Time sheets incorrectly filled

# Man-hours per occurrence spent locating problems

% Time predictability at construction due to project manager change orders

Purpose To assess job productivity and projects progress.

BSC perspective Internal Processes

Objective measured Increase productivity levels

Threshold examples

  

Red: <80 Yellow: 80-100 Green: >100

Target setting notes

A low level of earned man hours indicates that the project has experienced lower than expected productivity, as actual man-hours were greater than the progress earned man-hours.

Subordinate metrics A = # Planned man-hours B = % Progress of work completed

Calculation formula A*B Trend is good when Increasing

Data capture period Spot Standard reporting

frequency Monthly

Data collection

method Time sheets of employees Limitations Accurate reporting for this KPI is

dependent on a well maintained Enterprise Project Management system, capable to record progress at any point.

Industries Any Sub-categories Any

Tags man-hours, constructions

Additional resources

Î http://www.iasdm.org/journals/index.php/ijaec/

article/view/49/56

In Practice Recommendations Scorecard Outlook

Dashboard Outlook

Man-hours stand at the basis of labor productivity.

Whether it is # Labor hours, # Hours per unit, # Effective working time or # Earned man-hours, labor productivity KPIs provide quantifiable insight into the actual effort an employee puts in, respective of the monthly income this same employee earns within the company. Measuring labor productivity is common practice in the construction and manufacturing industries, while also being a popular topic with portfolio and project management assignments.

# Earned man-hours provides indication of productivity Perspective Internal Processes

Strategic Objective Increase productivity levels

KPI Results

# Earned man-hours # Earned man-hours

against progress, and some advice into optimizing this productivity parameter can be formulated as follows:

 Determine work order size and organize scheduling activities;

 Measure and monitor progress against deadlines;

 Set milestones that help with meeting deadlines;

 Take into account considerations of budget;

 Nurture collaborative environments that boost productivity levels.

M1 M2 M3 M4 M5

M6 M1 M2 M3 M4 M5 M6

85 90 90

95 100

110

100 110 90 95

85 90 KeyPerformance

Indicator

SmartKPIs.com reference number

Standard reporting frequency

Previous period results

Current

results Trend Target %Target

complete Results

# Earned man-hours sK347 M 100 110

110 100%

References

1. Serag, E. (2006), Change orders and productivity loss quantification using verifiable site data, available at: http://etd.

fcla.edu/CF/CFE0001221/Serag_Engy_200608_PhD.pdf

2. Rajendran, H. K. (2008), Process quality and capacity planning, available at: http://soar.wichita.edu/xmlui/bitstream/

handle/10057/2040/t08033.pdf

3. City of Bethel (2012), Liquefied and compressed natural gas (LCNG) as a bridge to reducing energy costs in rural Alaska, available at: http://www.akenergyauthority.org/Content/Programs/EETF/Documents/Round_1/004.pdf

% Cannibalization rate of new product offering

Description

Focus

Targets

Analysis and Resources

Calculation

Data Profile

KPI 18

Overall notes

A side effect of product line extensions is that in addition to stealing share from competitors, new offerings also take away market shares from the company’s current offering.

Functional Areas Sales and Customer Service Sub-categories Sales

KPI Record sK156

Definition Measures the decrease in sales of existing products due to launches of new products.

Variations % Ratio of the cannibalized sales volume Related KPIs % Current-year percentage sales due to

new products released in the past six years

$ Profits from new products or business operations

Purpose To indicate the break-even rate of cannibalization (the maximum sales volume of the new offering that could come from the company’s existing offering without incurring a loss).

BSC perspective Customer

Objective measured Expand customer reach

Threshold examples

  

Red: >50% Yellow: 20-50% Green: <20%

Target setting notes

Cannibalization is a consequence of product line extensions, which typically aim to increase the company’s revenues, or to steal market share from competition.

Subordinate metrics A = $ Sales of the new product that cannibalized existing products

B = $ Sales of the new product Calculation formula (A/B)*100

Trend is good when Decreasing

Data capture period Quarter Standard reporting

frequency Quarterly

Data collection

method Sales reports

Limitations Accurate reporting of the KPI is affected by the difficulty to measure the sales of the new product that cannibalized the existing products. It is necessary to know for sure that the decrease in sales of the existing products is due to the new product and not due to competition.

Industries Any Sub-categories Any

Tags sales, new products

Additional resources

Î http://mme.wharton.upenn.edu/help/marketing_math_

help.pdf

In Practice Recommendations Scorecard Outlook

Dashboard Outlook

New product launches ultimately impact the sales of existing products, by pushing forward the sales for the newly released products. The % Product cannibalization rate reflects on the magnitude of new released products on the existing product portfolio. Product cannibalization occurs when newly launched products target the same market segments as the existing ones. Some recommendations on effectively managing product cannibalization rates include:

Perspective Internal Processes Strategic Objective Expand customer reach

KPI Results

% Cannibalization rate of new product offering % Cannibalization rate of new product offering

 Addressing new market segments for market base expansion;

 Targeting related but different markets with new product offerings;

 Using product cannibalization strategies on competitors rather than one self;

 Forecasting the effects of a newly launched products on the existing product portfolio;

 Marketing strategies that alleviate the effects new product launches have on existing company products.

Q1 Q2 Q3 Q4

26%

28%

31%

29%

31% 29%

26% 28%

KeyPerformance Indicator

SmartKPIs.com reference number

Standard reporting frequency

Previous period results

Current

results Trend Target %Target

complete Results

% Cannibalization rate of

new product offering sK156 Q 31% 29%

10% 29%

References

1. Srinivasan, S. (2014), Quantification of attribute driven product cannibalization induced by new product introduction, available at: http://www.worldcat.org/title/quantification-of-attribute-driven-product-cannibalization-induced-by-new-product-introduction/oclc/62090537

2. Desai, P. S. (2001), Quality segmentation in spatial markets: When does cannibalization affect product line design?, available at: http://pubsonline.informs.org/doi/abs/10.1287/mksc.20.3.265.9767

3. Pancras, J., Srisam, S. and Kumar, V. (2012), Empirical investigation of retail expansion and cannibalization in a dynamic environment, available at: http://dl.acm.org/citation.cfm?id=2398305

Q1 Q2 Q3 Q4

% Employee utilization rate

Description

Focus

Targets

Analysis and Resources

Calculation

Data Profile

KPI 19

Overall notes

Data from time sheets and ERP applications can be used to report utilization at any level of the organization - individual, project, group and company. There are approaches that consider utilization rate equal to the chargeable ratio. But the difference between them, is Functional Areas N/A

Sub-categories N/A KPI Record sK320

Definition Measures the time employees are actually used in project-related work, relative to their availability.

Variations % Rate of utilization Related KPIs # Labor multiplier

Purpose To indicate the efficiency in planning employees’ activities and involvement in different projects.

BSC perspective Internal Processes

Objective measured Increase labour productivity

Threshold examples

  

Red: <80% Yellow: 80-90% Green: >90%

Target setting notes

Thresholds given have just an exemplification purpose.

Targets should be set in relation to the utilization potential, which should be calculated by extracting training hours and other personal time from the total employment hours.

Subordinate metrics A = # Time working on projects (in days / hours)

B = # Time available for work-ing on projects (Note: this is not equal to total labor time, as employees can have some time allocated for research, training or other similar activities)

Calculation formula (A/B)*100 Trend is good when Increasing

Data capture period Month Standard reporting

frequency Monthly

Data collection

method Employee weekly activity reports Limitations Accurate reporting requires good

integration of employee time sheets and correlation to projects and other activities.

Industries Professional Services

Sub-categories Engineering, Recruitment / Employment Activities, Legal Practice, Business Consulting, Accounting Services Tags productivity , employees

that the latter refers to total labor time, whereas the first one extracts from the employment time, the hours needed for research, training or other similar activities that are inherent in a professional services firm.

In Practice Recommendations Scorecard Outlook

Dashboard Outlook

By taking the average number of hours employees actually work in month, and dividing this figure by the standard number of hours employees have to work in a month, companies ultimately get a result that reflects on their

# Employee utilization rate. Employee utilization rates impact human resources decisions one way or the other.

Over-utilization of staff, can lead to a conscious decision to hire more people, while under-utilization of staff may result in the reevaluation of the working potential one company has and makes use of. The # Employee utilization Perspective Internal Processes

Strategic Objective Increase labor productivity

KPI Results

# Employee utilization rate # Employee utilization rate

profitable within the company, by comparing the cost of each employee to the actual billable hours worked within the reporting period mentioned. Some recommendations on optimizing # Employee utilization rates include:

 Planning for performance and adequate workload distribution;

 Monitoring productivity levels and evaluating individual performance;

 Enabling individual performance management software;

 Create a working environment that boosts productivity.

M1

results Trend Target %Target

complete Results

# Employee utilization

rate sK320 M 80% 85%

100% 89%

Additional resources

Î http://www.performancemagazine.org/the-challenges-in-building-an-employee-performance-centered-ecosystem/

References

1. Beekman Associates (2005), Agency utilization rate what is it and how does it impact agency compensation?, available at:

http://beekmanassociates.com/pdfs/AgencyUtilizationRates.pdf

2. Lambert, A. D. (2006), Individual differences: Factors affecting employee utilization of flexible work arrangements, available at: http://www.sciencedirect.com/science/article/pii/S000187910800016X

3. Carver, D. A. (2005), What’s wrong with management. Lincoln: iUniverse, available at: http://www.amazon.com/Whats-Wrong-Management-Daniel-Carver/dp/0595363806

$ Telecom subscriber acquisition cost

This indicator is widely used in telecommunication industry sectors, especially in the mobile phone networks. Mobile telecommunication companies frequently pay incentives (commissions) to retailers that bring in customers for their networks. In the case of Personal Communication Systems, the subscriber acquisition cost includes the acquisition costs for the handsets offered to subscribers and the commissions Functional Areas N/A

Sub-categories N/A KPI Record sK270

Definition Measures the average cost of gaining a new subscriber to the service. The costs to acquire new subscribers refer to the marketing and advertising expenses, as well as to other specific costs, such as the subsidized provision of equipment (e.g.

mobile phones), payment of commissions and the employment of sales staff.

Variations $ Subscriber acquisition cost

$ Average cost per subscriber Related KPIs # Mobile phone web users

Purpose To assess the process of new customer acquisition, from a cost and profitability perspective.

BSC perspective Customer

Objective measured Expand customer reach

Threshold examples

  

Red: >150 Yellow: 100-150 Green: <100

Target setting notes

Targets should be set taking into consideration the industry specifics and the available budget.

Subordinate metrics A = $ Spend for gaining new subscribers

B = # Gross subscriber additions Calculation formula A/B

Trend is good when Decreasing

Data capture period Month Standard reporting

frequency Monthly

Data collection

method Customer data base, sales records, financial statements Limitations Accurate reporting for this KPI is

dependent on a well maintained system for tracking new customer acquisition and expenditure directed towards increasing the base of subscribers. Due to the various sources of data, automation in the integrated performance reporting system is not recommended.

Industries Telecommunications / Call Center Sub-categories Telecommunications

Tags cost, telecommunications

paid to retailers, from which are deducted the revenues received from the sale of handsets, for each new customer.

In Practice Recommendations Scorecard Outlook

Dashboard Outlook

Included in the $ Telecom subscriber acquisition cost are the direct and indirect costs associated with acquiring new telecom subscribers: marketing costs, advertising costs, discounts, the costs associated with using various distribution channels to gain new customers. Having that competition is rather intense in the telecommunications industry worldwide, subscriber acquisition costs have to be carefully managed so that new subscribers choose one provider over the other, without turning into unprofitable

Perspective Customer

Strategic Objective Expand customer reach

KPI Results

$ Telecom subscriber acquisition cost $ Telecom subscriber acquisition cost

customers. Some recommendations on optimizing $ Telecom subscriber acquisition costs include:

 Devising multiple subscriber packages that target different customer groups within the market;

 Personalizing product offering for increased customer loyalty;

 Facilitating unique customer experiences;

 Build a solid technological infrastructure to support industry advancement.

M1 M2 M3 M4 M5

M6 M1 M2 M3 M4 M5 M6

120 145

167

208 170

139

139 170

208 145 167

120 KeyPerformance

Indicator

SmartKPIs.com reference number

Standard reporting frequency

Previous period results

Current

results Trend Target %Target

complete Results

$ Telecom subscriber

acquisition cost sK270 M 170 139

50 35%

References

1. Kumar, V. (2008), Customer lifetime value: The path to profitability, available at: http://www.amazon.com/gp/search?index=b ooks&linkCode=qs&keywords=9781601981561

2. Mozer, M. C., Wolniewicz, R., Grimes, D. B., Johnson, E. and Kaushansky, H. (2000), Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry, available at: http://dl.acm.org/citation.cfm?id=2326585 3. Urgent Issues Group (2010), Subscriber acquisition costs in the telecommunications industry, available at: http://www.aasb.

gov.au/admin/file/content105/c9/INT1042_12-04.pdf

APPENDIX A – RELATED REPORTS

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