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Arada [10]
4 years ago
15

You're creating a presentation for your company's executive team outlining the importance of data quality. What's one key factor

in determining data quality that you might include? A. Time B. Territory distribution C. Number of duplicate records D. Number of employees E. Revenue
Business
2 answers:
Oxana [17]4 years ago
4 0

Answer:

C. Number of duplicate records

Explanation:

Based on the scenario being described within the question it can be said that one key factor would be the number of duplicate records. This is because this factor represents data quality the most, since duplicate records indicate bad quality and bad organization of the data that is being stored which can lead to mistakes and unnecessary difficulties.

Dennis_Churaev [7]4 years ago
4 0

Answer:

C

Explanation:

Data quality management is a procedure used in maintaining the quality of data used in generating meaningful information.It involves extensive planning and collection of relevant information

One of the tools of determining the quality of data is the number of duplicate records of such data.

This serves as a means of corroborating the authenticity of the data and improve the reliability.

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Department a had sales of $100,000.00, Department B had sales of $500,000.00, and total...
weeeeeb [17]
It would be 10,333.33
6 0
3 years ago
American​ Exploration, Inc., a natural gas​ producer, is trying to decide whether to revise its target capital structure. Curren
Marat540 [252]

Answer:

a) 9.00 %

b) 7.80 %

c) yes the weight of the debt increases here is more risk in the investment as the debt payment are mandatory and failing to do so result in bankruptcy while the stock can wait to receive dividends if the income statement are good enough

d) 9.00  %

e) The increase in debt may lñead to an increase in return of the stockholders if they consider the stock riskier than before and will raise their return until the WACC equalize at the initial point beforethe trade-off occurs

Explanation:

a)

WACC = K_e(\frac{E}{E+D}) + K_d(1-t)(\frac{D}{E+D})

Ke 0.12

Equity weight 0.5

Kd(1-t) = after tax cost of debt = 0.06

Debt Weight = 0.5

WACC = 0.12(0.5) + 0.06(0.5)

WACC 9.00000%

c)

WACC = K_e(\frac{E}{E+D}) + K_d(1-t)(\frac{D}{E+D})

Ke 0.12

Equity weight 0.3

Kd(1-t) = after tax cost of debt = 0.06

Debt Weight 0.7

WACC = 0.12(0.3) + 0.06(0.7)

WACC 7.80000%

d)

WACC = K_e(\frac{E}{E+D}) + K_d(1-t)(\frac{D}{E+D})

<em>Ke 0.16</em>

Equity weight 0.3

Kd(1-t) = after tax cost of debt = 0.06

Debt Weight 0.7

WACC = 0.16(0.3) + 0.06(0.7)

WACC 9.00000%

3 0
3 years ago
Omega Company makes and sells jungle gyms and tree houses for children. For jungle gyms, the price is $150 and the variable expe
Whitepunk [10]

Answer:

b 5:3

Explanation:

Jungle gym sales unit : tree sales unit

10,000 : 6,000

10,000 / 6000

= 5/3

=5:3

6 0
3 years ago
Read 2 more answers
Find the present value of $19,000 in 11 months at 5.1% interest
dem82 [27]

Answer:

$19,886.396

Explanation:

Given :

Interest rate = 5.1% = 5.1

Principal = $19000

Period = 11 months = (11/12)year

The present value of 19000 in 11 months at 5.1% interest Can be obtained using the relation:

PV = P(1 + r)^n

PV = 19000(1 + 0.051)^(11/12)

PV = 19000(1.051)^(11/12)

PV = 19000 * 1.0466524

PV = 19886.396

Hence, the present value is $19,886.396

5 0
3 years ago
Dunstreet's department store would like to develop an inventory ordering policy of a 95 percent probability of not stocking out.
ArbitrLikvidat [17]

Answer:

219 sheets

Explanation:

D = 5000 per year,

d = daily demand = 5000/365 = 13.70 sheets

T = time between orders (review) = 14 days

L = Lead time = 10 days

σd= Standard deviation of daily demand = 5 per day

I = Current Inventory = 150 sheets Service Level

P = 95% (Probability of not stocking out) q=d(L+D)z σ T+L-1

σ T+L-1= square root (T+L)=5 square root 14+10= 24.495

From Standard normal distribution, z = 1.64 for 95% Service Level (or 5% Stock out)

q=13.70*(14+10)+1.64(24.495)-150

= 218.97 →219 sheets

5 0
3 years ago
Read 2 more answers
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