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Learn to build a basic business case by using data analysis techniques and interpreting

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Data Analysis and Business Case 

Learn to build a basic business case by using data analysis techniques and interpreting and presenting their results. Techniques include weighted values, NPV calculation and comparison, sensitivity analysis, and balanced scorecard analysis.

Background

DBVac is considering adding an additional product to their lineup. The company’s Research and Development (R&D) team has come up with three different concepts for new vacuum cleaners and assigned them the codenames Fin, Snorkel, and Facemask. Each of the three proposed products has a number of different characteristics (described below) that distinguish them from one another. However, the company can only bring one of these three products to market in the near future.

As such, DBVac would like you to evaluate the three products using a few different analyses, then write a business case recommending which of the three new products to bring to market, detailing the reasons behind your

 

recommendation, and providing expectations the company should have for the new product (e.g., how much they should expect to profit from its release).

Further, they would appreciate your help in providing a data-centric recommendation as to which of the company’s four available product managers would be best equipped to lead the project.

In assessing DBVac’s situation, please carefully read the content in this background section as your response is very dependent on the content herein. You’ll need to come back to this background section to find the data needed to perform the analyses required in the assignment.

Candidate Products

DBVac is considering developing and bringing to market one of three possible products, code-named Fin, Snorkel, and Facemask. Fin would be a very low-cost model, Snorkel would be a mid-range model with some innovative features, and Facemask would be a top-of-the-line model built on a drone platform.

To understand what the initial (pre-launch) development cost would be for these potential new products, the company thinks it would be worthwhile to consider the pre-launch development cost for its four most recent new product development projects: the FarmBunny, RapidBunny, BunnyKing, and the disastrous CozyCony. The company has analyzed facets of each of the three potential new models (Fin, Snorkel, Facemask) to get a sense for how similar each of the three is to the four previous new product development projects. This was done under the assumption that, if the development process for the new product is exactly like, for instance, the FarmBunny development process, then the initial cost of development should be the same.

The initial cost of development for these previous new product development projects were as follows:

FarmBunny: $2.7 million

RapidBunny: $4.2 million

BunnyKing: $4.6 million

CozyCony: $13.7 million

Fin

Fin would be DBVac’s lowest cost entry into the vacuum cleaner market, providing no advanced features but still being a vacuum cleaner, technically speaking. R&D would consist of aggressive down-costing measures to ensure the affordability of product manufacturing.

In considering Fin’s initial R&D cost, DBVac has provided the following

estimates of the project’s similarity to past new product development projects.

30% probability of being similar to the FarmBunny initial R&D cost.

38% probability of being similar to the RapidBunny initial R&D cost.

 

5% probability of being similar to the BunnyKing initial R&D cost.

27% probability of being similar to the CozyCony initial R&D cost.

No additional revenue or cost is expected to be accrued during the initial year (i.e., the R&D year) beyond the initial R&D cost. After this initial R&D year, sales net of unit cost are expected to total $2.5 million in the first year, then increase by 19% each year thereafter.

The company expects to incur a cost of $800,000 to train service and support personnel in handling the product during the first year after introduction, then

$250,000 per year each year thereafter. Additionally, because this is a high- volume product, DBVac expects to spend $1.2 million the third year after the initial R&D year to expand their current service and repair facilities to accommodate service claims.

Because the product is significantly down-costed, the company expects a high failure rate. As such, the company foresees warranty and repair costs that total 27% of Fin revenue annually starting the first year after development.

On the other hand, because the product is made primarily of recycled materials, DBVac expects to be able to recoup 4% of the total annual warranty cost each year by selling the recyclable materials to recycling companies overseas.

Snorkel

Snorkel is foreseen as a vacuum cleaner that would fit in the middle of the

DBVac lineup in terms of price, settling in somewhere between the company’s current MadHare and JackRabbit models. Using many of the same technologies already available in other models, such as the patented turbo button found on both the MadHare and JackRabbit, Snorkel would also include two new key technologies: (a) reverse-thrust, which would allow the user to jettison collected debris through the hose directly into a waste receptacle (e.g., a garbage can), and

(b) the carpet de-tangler, which would sense when a long carpet strand is getting lodged within the vacuum’s roller, warn the user using a series of beeps, then eject the strand.

In considering Snorkel’s initial R&D cost, DBVac provides the following

estimates of the project’s similarity to past new product development projects.

9% probability of being similar to the FarmBunny initial R&D Cost.

48% probability of being similar to the RapidBunny initial R&D cost.

29% probability of being similar to the BunnyKing initial R&D cost.

14% probability of being similar to the CozyCony initial R&D cost.

No additional revenue or cost is expected to be accrued during the initial year (i.e., the R&D year) beyond the initial R&D cost. After this initial R&D year, sales net of unit cost are expected to total $3.0 million in the first year, then increase by 12% each year thereafter.

 

Further, based on the level of innovation involved in the development of the product, the company is 40% confident that it will qualify for an $800,000 research innovation grant from the federal government, which would be paid out the second year after development.

The company expects to incur a cost of $950,000 to train service and support personnel in handling the product during the first year after introduction, then

$450,000 per year for each year thereafter. Further, to service what is expected to be an unusual technology, the company will need to spend $750,000 to improve its current service and repair facilities the first year after the R&D year.

Additionally, DBVac expects to need to spend $400,000 the fourth year after the initial R&D year to expand their service and repair facilities.

Given the unique nature of the product, the company expects warranty and repair costs that total 20% of unit sales revenue annually starting the first year after development.

Facemask

Facemask would be the company’s most technically advanced product — it would be the company’s “flagship”, the kind of awe-inspiring product that would be valuable not only in terms of its own sales, but in its ability to bring new customers to consider the entire DBVac family of vacuum cleaners. In addition to the always-on, dirt-anticipating TruSentience® capabilities already found in the company’s BunnyKing model, Facemask would work in three dimensions. Incorporating military-grade drone technology, Facemask would be able to fly through the household, cleaning window coverings and crown moldings as needed and could even capture dust and dirt mid-air before it has a chance to land on things.

In considering Facemask’s initial R&D cost, DBVac provides the following estimates of the project’s similarity to past new product development projects.

2% probability of being similar to the FarmBunny initial R&D Cost.

39% probability of being similar to the RapidBunny initial R&D cost.

45% probability of being similar to the BunnyKing initial R&D cost.

14% probability of being similar to the CozyCony initial R&D cost.

No additional revenue or cost is expected to be accrued during the initial year (i.e., the R&D year) beyond the initial R&D cost. After this initial R&D year, sales net of unit cost are expected to total $1.9 million in the first year, then increase by 20% each year thereafter.

Further, based on the level of innovation involved in the development of the product, the company is 100% confident that it will qualify for an $800,000 research innovation grant from the federal government, which would be paid out the second year after development.

 

The company expects to incur a cost of $500,000 to train service, support, and repair personnel in handling the product during the first year after introduction, then $240,000 per year for each year thereafter. Finally, the company expects warranty and repair costs that total 16% of sales revenue annually starting the first year after development.

 

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