Lesson 4 Discussion Forum

Communication and Team Decision Making

Part 1: Sharpening the Team Mind: Communication and Collective Intelligence

A.    What are some of the possible biases and points of error that may arise in team communication systems? In addition to those cited in the opening of Chapter 6, what are some other examples of how team communication problems can lead to disaster?

B.      Revisit communication failure examples in Exhibit 6-1. Identify the possible causes of communication or decision-making failure in each example, and, drawing on the information presented in the chapter, discuss  measures that might have prevented problems from arising within each team’s communication system.

Part 2: Team Decision-Making: Pitfalls and Solutions

A.    What are the key symptoms of groupthink? What problems and shortcomings can arise in the decision-making process as a result of groupthink? 

B.    Do you think that individuals or groups are better decision-makers? Justify your choice. In what situations would individuals be more effective decision-makers than groups, and in what situations would groups be better than individuals?

Read the above topic and discuss it in 300 words using APA format.

  

There is no such thing as a bug-free IT project. Because bugs are a fact of IT project life, IT project managers must articulate a process for identifying, tracking, and handling the bugs that will inevitably occur. In addition, because technical and business requirements change frequently, IT project managers must also plan to log and track requests for new features and functionality.

Read the following linked documents:

• “Visual Studio – Manage Bugs“: This article describes the process      of tracking bugs in Visual Studio, a popular .NET development suite      created by Microsoft®.
• “What Is a Bug and Issue      Tracking Tool?“: This article describes the process of tracking bugs      in Jira, a popular bug tracking and project management tool created by      Atlassian.

Create a 3-page Microsoft® Word document of a bug tracking process for the project you created in the individual assignments in Assignment Weeks 2 and 3. Be sure to differentiate between bugs and feature requests. For this assignment, you will only be tracking bugs.

Your tracking process must include:

• Description of software you propose      using for bug tracking (in-house developed or third-party)
• Description of issues that will be considered      bugs (vs. feature requests)
• Description of who will use the system      to track bugs
• Description of who will monitor the      system, follow up with the requestor as necessary, and implement the bug      fixes

Description of bug-related information (such as a unique tracking number, description, assignee, etc.) necessary to identify, fix, and  

 Search “scholar.google.com” for a company or school that has defined the role of end-users in the creation of a contingency plan. Discuss why it is (or is not) important to include end users in the process of creating the contingency plan? What are the possible pitfalls of end user inclusion?

 

Disaster Recovery:

1) what are the most common downtime metrics used to express recovery criticality?

2) what is maximum tolerable downtime (mtd)?

3) what is recovery time objective (RTO)

4) what is recovery point objective rpo and how does it differ from recovery time objective

5)what are the primary means for collecting data for the bia

6) what is facilitated data gathering?

7)what are some items usually included in routine it operations budgets that can be considered part of CP requirements

8) beyond those items that are funded in the normal course of IT operations, what are the additional budgeting areas of CP needs?

Write a 3-4 page APA formatted paper comparing your organization’s disaster recovery and business continuity plans with the best practices outlined in our course text. Content should include, but not be limited to: selecting the DR team, assessing risks and impacts, prioritizing systems and functions for recovery, data storage and recovery sites, developing plans and procedures, procedures for special circumstances, and testing the disaster recovery plan. Your paper should include an abstract and a conclusion and a reference page with 3-5 references.

  

GO

PRINT Question 1 

Popular Genres

————–

We will start with the IMDB database.

For each genre, show the total number of shows that are listed in that genre. Format genre as

15 characters wide. Order in descending order of popularity.

Correct results will have 28 rows and will look like this:

Genre Count

————— ———–

Drama 1183422

Comedy 1049517

Short 670864

Documentary 499078

Talk-Show 452645

Romance 398779

Family 339665

News 338804

Animation 255212

Reality-TV 232633

…

Western  25128

War 20984

Film-Noir 852

‘ + CHAR(10)

GO

USE IMDB

—

— [Insert your code here]

—

GO

PRINT Question 2 M*A*S*H

——-

For each season of M*A*S*H, show the total number of episodes and total number of votes.

Display results ordered by season. Write your query to match the primaryTitle in title_basics

instead of hard-coding a tconst value.

Hint: title_episode.parentTconst is the series, title_episode.tconst is the episode.

Episodes have ratings in title_ratings, where the number of votes for the episode is also contained.

Correct results will look like this:

Season Number Number of Episodes Total Votes by Season

————- —————— ———————

1 24 8470

2 24 6724

3 24 6383

4 24 5859

5 24 5546

6 24 5092

7 25 5362

8 25 5340

9 20 4177

10 21 4049

11 16  5849

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT, Question 3 

Again Popular Genres

——————–

Repeat the query from Question 1, but this time express the popularity as a percentage of the total number 

of shows. Format the percentage to two decimal places and add a % sign to the end.

Hint: Start by adding the Total column to the SELECT clause. You”ll need to use a windowed function.

If you use … OVER () that will window over the entire contents of the table. Once you have that working,

the percent is 100 * the expression that gives you Count / the expression that gives you Total. Use STR

to convert that to 6 characters with two digits after the decimal point, then add a % to the end.

Hint 2: Percent is a reserved keyword in SQL, so you”ll need to quote it if you want to use it as a column name.

Correct results will have 28 rows and look like this:

Genre Count Total Percent

————— ———– ———– ——-

Drama 1183422 7297619 16.22%

Comedy 1049517 7297619 14.38%

Short 670864 7297619 9.19%

Documentary 499078 7297619 6.84%

Talk-Show 452645 7297619 6.20%

Romance 398779 7297619 5.46%

Family 339665 7297619 4.65%

News 338804 7297619 4.64%

Animation 255212 7297619 3.50%

Reality-TV 232633 7297619 3.19%

…

Western 25128 7297619 0.34%

War 20984 7297619 0.29%

Film-Noir 852 7297619 0.01%

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT Question 4

Metaphone with the most Variants

——————————–

We”re going to switch over to the NAMES database for the next few queries.

Produce a report that shows the most popular metaphones for baby names. Include two rows

for each metaphone, one for F babies and one for M babies. For each metaphone, show the

total number of names that match that metaphone, and the total number of babies that were

given those names. Order in descending order by total number of babies, and display the

top 10 results.

Format Metaphone as 10 characters wide.

For practice, do not use the all_data view. Write the correct JOIN instead.

Correct results will look like this:

Gender Metaphone Total Names Total Babies

—— ———- ———– —————————————

M JN 3565 5910583

M JMS 403 4859289

F MR 3499 4835115

M RBRT 410 4755683

M MXL 1520 4641296

M WLM 604 3746134

M TFT 606 3547986

F TN 10004 3276887

F JN 9945 3216270

M RXRT 435 2516670

‘ + CHAR(10)

GO

USE NAMES

—

— [Insert your code here]

—

GO

PRINT Question 5 

What about John?

—————-

For the most popular combination of Metaphone with Gender (JN and M), show a list of the most popular names

that match the metaphone.

Name Total Babies

———- —————————————

John 4712974

Juan 331865

Johnny 305889

Jon 164821

Gene 124121

Johnnie 93336

Jonah 54315

Jean 22359

Jan 21534

Johnie 17265

Gino 11250

Gianni 8071

Joan 5594

…

Giani 227

Jony 216

Jauan 190

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT Question 6 

Year-by-Year Popularity for JN

——————————

This time, show a breakdown of the popularity of JN names for M babies.

Your results should contain 100 rows that look like this:

Metaphone Year Total Babies

———- ————————————— —————————————

JN 1915 50983

JN 1916 53675

JN 1917 55877

JN 1918 61148

JN 1919 58457

JN 1920  62319

JN 1921 63521

JN 1922 62980

JN 1923 63395

JN 1924 65348

…

JN 2012 21925

JN 2013 21402

JN 2014 21125

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT Question 7 

Corey in the House

——————

For all years where the total number of both M and F babies named “Corey” was 100 or more,

show the name (formatted as 10 characters wide) along with the year and the total number

of babies with that name. Display results in chronological order.

Correct results will have 62 rows formatted as:

Name Year Total Babies

———- ————————————— —————————————

Corey 1952 117

Corey 1954  161

Corey 1955 271

Corey 1956 313

Corey 1957 285

Corey 1958 336

Corey 1959  351

Corey 1960 347

Corey 1961 450

Corey 1962 485

Corey 1963 484

Corey  1964 501

Corey 1965 544

Corey 1966 513

Corey 1967 512

Corey 1968  1668

Corey 1969 5069

…

Corey 2012 895

Corey 2013 889

Corey 2014 818

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT Question 8 

Popular Genres on TV

——————–

JOIN the SHOW table to the SCHEDULE table.

For each genre, calculate the total minutes spent airing shows in that genre.

Let”s switch to the TV database for the last three problems. Then, calculate the total

percent of time dedicated to that genre. Show the genre formatted to 20 characters wide,

the total number of minutes, and the percentage of minutes. Only include rows where

the total number of minutes was 1000 or more. Display in descending order by total minutes.

In the case of ties, order alphabetically by genre.

Hint: Review the hints and your answer to Question 3. Your calculation of the percentage

will be similar here.

Hint 2: Use DATEDIFF(mi, StartTime, EndTime) to get the total number of minutes that a show

was on. Total minutes will be the sum of those values for all the shows in a particular genre.

Correct results will have 88 rows that look like this:

Genre Total Minutes Percent

——————– ————- ——-

Special 1257851 14.33%

Sports non-event 959388 10.93%

Reality 680033 7.75%

Children 412604 4.70%

Sitcom 393738  4.49%

Drama 377146 4.30%

Shopping 375642 4.28%

Sports event 362470 4.13%

Comedy 282608 3.22%

Crime drama 247615 2.82%

…

Baseball 1200 0.01%

Collectibles 1200 0.01%

Rodeo 1200 0.01%

Medical 1100 0.01%

‘ + CHAR(10)

GO

USE TV

—

— [Insert your code here]

—

GO

PRINT Question 9 

0.4% of TV is SpongeBob SquarePants

———————————–

Do the same thing as in the previous query, except group by SeriesNum instead of Genre. This time, only show

series where the total minutes is 10,000 or more. Display the Title formatted to be 20 characters wide instead

of the genre.

Add another column for the total number of episodes aired.

Correct results will have 98 rows and look like this:

Title Total Minutes Total Episodes Percent

——————– ————- ————– ——-

MLB Extra Innings 258240 658 10.06%

Paid Programming 218507 7292 8.51%

NBA League Pass 103200 215 4.02%

MLS Direct Kick 100620 221 3.92%

College Football 73575 421 2.86%

MLB Baseball 69510 390 2.71%

Programa Pagado 54940 1792 2.14%

SIGN OFF 43025  119 1.68%

SportsCenter 36580 596 1.42%

Public Affairs Event 24362 93 0.95%

To Be Announced 23770 161 0.93%

2017 U.S. Open Tenni 23520 98 0.92%

Law & Order 22727 379 0.88%

Forensic Files 22140 738 0.86%

…

SpongeBob SquarePant 10295 353 0.40%

Politics and Public 10186 60 0.40%

SEC Now 10080 174 0.39%

Keeping Up With the 10080 172 0.39%

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO

PRINT Question 10 

Everything is Repeats

———————

For the entire schedule, calculate the total number of distinct shows aired and the

total number of shows aired. The difference in these two numbers is the total number of

repeats. Show all three values as a single row, along with the percentage of shows that

are repeats.

Note: If you look in the messages pane, you might see a warning like the following:

Warning: Null value is eliminated by an aggregate or other SET operation.

Eliminate this warning by only including rows where FK_ShowID isn”t NULL.

(The results say that 75% of TV is repeats, but it”s even worse than that, because we”re 

counting the first airing of a show in this 2 week period as an original broadcast, even 

though many of them are repeats from previous weeks).

Correct results should look like this:

Distinct Shows Total Shows Repeats Percent of Repeats

————– ———– ———– ——————

35183 138286 103103 74.56%

‘ + CHAR(10)

GO

—

— [Insert your code here]

—

GO