Question 1

How can predictive analytics improve performance measurement?

1 point

By assisting in weighing different performance measures based on their relative importance.

All answers are correct

By enhancing the setting of performance targets.

By increasing the organization's understanding of the key performance drivers that should be measured.

2.

Question 2

Which of the following is a key attribute of a causal business model?

1 point

A) It includes employee, customer, operational, and innovation measures.

B) It is linked to the organization's strategy.

C) It articulates the hypothesized drivers of financial performance.

Both A and C

Both B and C

A, B, and C are all correct

3.

Question 3

Which of the following choices are important when designing statistical tests of a hypothesized causal business model? (check all that apply)

1 point

The unit of analysis (e.g., customers, employees, projects, product lines, locations, divisions, etc.).

The expected time lag between changes in nonfinancial performance and resulting changes in financial performance (e.g., daily, monthly, yearly, etc.).

The desired economic outcomes (e.g., profits, revenue growth, contract renewal, retention, etc.).

The department responsible for conducting the analyses (e.g., finance, marketing, etc.).

4.

Question 4

Assume that measure A is expected to lead to improvements in measure B. If no statistically significant relationship is found between the two performance measures, what could explain the insignificant relationship?

1 point

A) Organizational barriers are preventing improvements in measure A from translating into improvements in measure B.

B) Contrary to the company's hypothesis, improvements in the performance dimension captured by measure A do not lead to improvements in measure B.

C) Even though the performance dimension captured by measure A is actually a driver of measure B, the method used to calculate measure A is bad (e.g., it uses too few scale points, the questions are misleading, or it asks about performance dimensions that do not drive customers' purchase behavior).

D) Either b or c could explain the insignificant relationship.

E) Either a, b, or c could explain the insignificant relationship.

ASAP PLEASE