Consider the following Scenario:

OmegaCorp is a diversified, multi-profile company. Essentially, it is a conglomerate company consisting of three diverse strategic units acting as independent businesses under separate brands in different industry sectors: Unit Azur, Unit Blau and Unit Zeus. OmegaCorp is governed from the central head office, which oversights the three subsidiary business units and their financial performance indicators, though without any operational interventions. Each strategic business unit has its own managing director with full discretion and responsibility over its competitive strategy, investment priorities, budget allocation and ensuing yearly profits.

Unit Azur is in the food manufacturing business. The unit produces and distributes a variety of goods including, but not limited to, vegetables, groceries, meat and dairy products. Each of these product lines requires unique production processes, storage arrangements, transportation approaches and underlying equipment and is organizationally implemented by a separate specialized product department. However, these products are delivered largely to the same circle of customers, including both major retailers and local food shops. All product lines are also served by a number of common unit-wide functions, e.g. HR, finance, accounting, logistics, legal, marketing and sales support.

Unit Blau competes in the restaurant business. Specifically, the unit controls a chain of small fast-food restaurants occupying the low-cost market niche. In total, the chain includes more than 80 restaurants located in different geographies and more restaurants are planned to be opened in the foreseeable future. All restaurants offer same interiors, menus, prices, meals and services to their customers and imply standardized policies, working procedures and supporting equipment. However, each restaurant is run separately by a chief manager responsible for its overall financial well-being and all necessary business processes, e.g. recruiting, training, procurement, cooking, servicing, cleaning and complaints management. With the exception of Unit Blau's lean central office, where chain-wide branding, marketing and other strategic decisions are made, the restaurants operate independently from each other and even have their own profit and loss statements.

Finally, Unit Zeus runs a chain of resort hotels. These hotels gravitate towards the high-end price segment and offer premium-quality services to their customers. Unit Zeus's competitive strategy implies improving its brand recognition and achieving consistent customer experience. For this purpose, the unit's leadership plans to standardize all customer-facing and, to a lesser extent, back-office processes across all hotels of the chain as well as all its suppliers and service providers. Moreover, Unit Zeus also intends to become "closer" to its customers and build lifelong customer relationships. This strategy requires collecting more information about customers, their individual preferences and transaction histories, aggregating this information globally and leveraging it for providing customized services, launching loyalty programs, developing special offers and promoting personalized discounts.

QUESTION 1

If you were to use the EA3 Cube Framework to begin planning an enterprise architecture for OmegaCorp:

What would the levels be?

What would the segments be? What do they represent?

Give two specific descriptive examples of relevant artifacts that would likely be gathered for each of the levels of the EA3 Cube Framework. Be specific to the line of business and level. (For ease of presentation, please provide this information in an appropriate table format.)

QUESTION 2

What specific types of data are integrated across the whole company and each of its business units?

QUESTION 3

What is the highest-level structure of the IT landscape in the company and in each of its business units?

Problem 4 (7 points) Trace metals in drinking water affect the flavor and an unusually high concentration can pose a health hazard. 7 pairs of data were taken measuring zinc concentration in bottom water and surface water Zinc concentration in bottom water .27 57 .53 .71 72 .65 .58 Zine concentration in surface water .47 .72 .61 .52 .41 .61 Does the data suggest that the true average concentration in the bottom water exceeds that of surface water? (a) Set up the hypotheses. (b) Compute the test statistic. Check whether to reject the null hypothesis by comparing the test statistic by the tabular one. (c) Calculate the p-value and use it to test the hypothesis. (d) Construct a 95% confidence interval for the difference means in zinc concentration in bottom water and surface water. (e) Use the results in part (d) to test the hypothesis using the significant level 0.05,Two technicians measured the surface finish of a metal part, obtaining the data presented in the table below. Assume that the measurements are normally distributed. The to test statistic was calculated for these measurements resulting in a value of to = 0.11. Using ox = 0.05 and assuming equal variances, the following test hypothesis was tested for the mean surface finish measurements made by the two technicians: Ho: M1 - /2 = 0, H1: /1 - /2 = 0 Based on the above information, which of the following statement(s) are correct? Technician 1 Technician 2 1.45 1.54 1.37 1.41 1.21 1.56 1.54 1.37 1.48 1.20 1.29 1.31 1.34 1.27 1.35A new process is applied to a part which should reduce its surface roughness. 5 parts are chosen, and each part's roughness is measured before and after the process is applied, resulting in the data below. Is the new process effective? Perform the appropriate hypothesis test using a significance level of 0.05. State H0, H1, a, yourtest statistic, the tests critical value, and conclusion (both statistically and in practical terms). Part Surface Roughness Before After DeltaBef,e_Aer 1 32.3 24.3 8.0 2 31.5 28.6 2.9 3 30.6 2 5.2 5.4 4 33.4 29.4 4.0 5 32.8 30.1 2.7 Xbar: 32.12 27.52 4.6 S: 1.0986 2.6033 2.1829 A new process is applied to a part which should reduce its surface roughness. 5 parts are chosen, and each part's roughness is measured before and after the process is applied, resulting in the data below. Is the new process effective? Perform the appropriate hypothesis test using a significance level of 0.05. State H5, H1, or, your test statistic, the test's critical value, and conclusion (both statistically and in practical terms). Part Surface Roughness Before After DeltaBefDre_After 1 32.3 24.3 8.0 2 31.5 28.6 2.9 3 30.5 25.2 5.4 4 33.4 29.4 4.0 5 32.8 30.1 2.7 Xbar: 32.12 27.52 4.6 S: 1.0986 2.6033 2.1829