AC442 Unit 7 Data Quality Worksheet Example

Reviewed by Chester Goodwin, MBA Data Management and Analysis Purdue University Global Free custom sample in 24 to 48h

A club card-charge extract of 17,036 rows is tested, cleaned and reconciled in this AC442 Unit 7 data quality worksheet for a composite winery. Purdue Global AC 442, Data Management and Analysis, asks BS in Accounting students to correct a flawed extract and record every change made to it. Nine tests run in a stated order: 186 duplicates removed, 1,318 declined attempts kept but excluded, text amounts and dates converted, state names normalized, and charges to canceled members, orphan IDs and tax mismatches flagged for the people who own them. The 15,532 approved charges that survive total $2,648,710 and tie to club revenue, shipping income and sales tax in the ledger.

CourseAC442 Data Management and Analysis
UnitUnit 7
Paper typeData quality worksheet
LengthAbout 560 words, 5 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramBS in Accounting
UpdatedOctober 2026

Free sample paper for AC442 Unit 7

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Nine Tests on 17,036 Card Charges: A Unit 7 Data Quality Worksheet That Ties to the Ledger

[Student Name]

Purdue University Global

AC442: Data Management and Analysis

Unit 7 Data Quality Worksheet

[Instructor Name]

[Date]

Cobble Hill Estate Winery, its club data and every figure are composite; the articles and guide cited are real.

What this part is doingNaming the extract, the four kinds of action and the tie-out in the lead shows the worksheet's discipline.
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The Extract

Fiscal 2025 club charges, one row per charge attempt: attempt_id, member_id, release, attempt_date, amount, status, ship_state, tax.

Tests, in the Order Run

1. Exact duplicates. Rule: every column identical. Found: 186 rows, $26,412.40, from one release batch exported twice. Action: removed. Told: club manager. Duplicates come out first so every later count is made on unique rows.

2. Declined attempts. Rule: status equals DECLINED. Found: 1,318 rows. Action: kept in the file, excluded from every total. Told: no one; this is expected. They are evidence that the retry rule works.

3. Amounts stored as text. Rule: value contains a dollar sign, comma or parentheses. Found: 2,904 rows, including 12 refunds in parentheses. Action: converted to numbers, the 12 refunds made negative. Told: logged here.

4. Dates in two formats. Rule: attempt_date not in year-month-day form. Found: 2,140 rows written month/day/year. Action: converted. Type conversion runs before any test that compares amounts or dates.

5. State names. Rule: ship_state longer than two characters. Found: 311 rows such as "Calif." and "Oregon." Action: normalized to postal codes.

6. Charges after cancellation. Rule: attempt_date after the member's cancellation date. Found: 23 approved charges, $3,904.35. Action: flagged, values unchanged. Told: club manager, who decides on refunds.

7. Orphan member IDs. Rule: member_id not in the member table. Found: 9 rows, $1,226.80. Action: flagged. Told: club manager.

8. Tax rate against ship state. Rule: tax divided by amount outside the state's rate by more than one cent. Found: 14 rows. Action: flagged. Told: bookkeeper.

9. Price range. Rule: approved amount outside the lowest and highest tier prices including shipping. Found: nothing. Action: none, recorded.

The worksheet separates finding from action because correcting a value, excluding a row from totals and flagging it for someone with authority are three different decisions, and only true duplicates are ever deleted.

What this part is doingThe highlighted sentence states the distinction the unit grades, which is why every row records both what was found and what was done.
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A test that found nothing still gets its row, so a reviewer can see it was run. The order matters as much as the rules: had the duplicates stayed in, test 6 would have flagged 24 charges to canceled members rather than 23, since one of them sat in the batch exported twice.

Before and After

Before: 17,036 rows. Removed: 186 duplicates. Excluded from totals: 1,318 declined attempts. Approved charges remaining: 15,532, of which 32 are flagged for others to resolve.

Tie-Out

Approved charges total $2,648,710.00:

1. Club revenue: $2,318,760.

2. Shipping income: $187,340.

3. Sales tax collected: $142,610.

All three agree with the general ledger. The 23 charges to canceled members remain in the totals until the club manager decides on refunds, because the cash was in fact collected.

Data quality has dimensions beyond accuracy, including completeness, consistency and timeliness, and consumers of data judge it by whether it is fit for their use (Wang & Strong, 1996). Redman (1998) argued that bad data quietly costs a typical business money and confidence in its own reports, because few companies ever measure it. Logging each change with counts lets an auditor rely on the cleaned file (American Institute of Certified Public Accountants, 2017).

What this part is doingEnding on the tie-out and the reason for the log shows the cleaning produced a figure an accountant can verify.
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References

American Institute of Certified Public Accountants. (2017). Guide to audit data analytics. AICPA.

Redman, T. C. (1998). The impact of poor data quality on the typical enterprise. Communications of the ACM, 41(2), 79-82. https://doi.org/10.1145/269012.269025

Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33. https://doi.org/10.1080/07421222.1996.11518099

AC442 Unit 7 instructions, in plain terms

The seventh AC442 unit asks you to clean a flawed data extract and document every change. Record each test as a row: the test, the rule used, the count and value of rows affected, the action taken and who was told. Run tests in a reasoned order, removing exact duplicates first so later counts are made on unique rows, and converting data types before any test that compares values. Distinguish four actions: removing a row, excluding it from totals, converting a value and flagging it for someone with authority. Delete only true duplicates, and explain why other problem rows stay. Route issues that belong to someone else to that person, leaving values unchanged. Record tests that found nothing. Close with a before-and-after count and a tie-out of the cleaned totals to the ledger. Cite data quality research and the audit analytics guide in APA 7.

Inside the AC442 Unit 7 example

The sample describes the extract's columns, then lists nine tests in run order. Test 1 removes 186 duplicates worth $26,412.40 from a batch exported twice. Test 2 keeps 1,318 declined attempts out of every total. Tests 3 to 5 convert 2,904 text amounts, including 12 refunds, 2,140 dates and 311 state names. Tests 6 to 8 flag 23 charges to canceled members, 9 orphan IDs and 14 tax mismatches for the club manager and bookkeeper. Test 9 records a price-range test that found nothing. The highlighted sentence explains the distinction between finding and action. A note shows that running duplicates first changed test 6's count. The before-and-after block reaches 15,532 approved charges, and the tie-out matches $2,648,710 to three ledger accounts, citing Wang and Strong, Redman and the AICPA guide.

Where the points sit in the AC442 Unit 7 rubric

AC442 data quality worksheets earn credit for a complete, ordered log and for the line between correcting, excluding and flagging. Each test should have a rule specific enough to rerun and a count and value of rows affected. The order of tests must be justified, since duplicates and type problems distort later tests. Graders look closely at deletions: only true duplicates should be removed, and rows that record real events, such as declined charges, must stay. Issues that belong to another person should be routed with values unchanged. Tests that found nothing still belong in the log. The before-and-after count and the tie-out to ledger accounts prove the cleaning produced reliable totals. A clear table and APA 7 citations to data quality research complete what Purdue Global grades here.

Common AC442 Unit 7 mistakes, and how to avoid them

Unit 7 worksheets often delete every row that looks wrong, destroying evidence such as declined charges. Others change values without logging counts, so the cleaned file cannot be audited. Tests run in an arbitrary order and count duplicates twice. Refunds in parentheses are converted to positive numbers. Canceled members' charges are refunded by the student, a decision that belongs to the club manager. Tests that found nothing are omitted, so nobody knows they were run. The cleaned totals are never tied to the ledger. If your extract comes from payroll, purchasing or a patient billing system, our writers can build the test log and the tie-out on your file's actual faults.

Get an AC442 Unit 7 example written to your instructions

Forward the flawed extract your Unit 7 assignment supplies, untouched, with the rubric and any worksheet layout your instructor prescribes. Every fault is logged with rows, dollars and action, the survivors are tied to whatever control totals your data allows, and the worksheet is back within 24-48h. No fee is charged for a first custom sample. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More AC442 papers and BS in Accounting samples

AC442 Unit 7 questions, answered

Why keep the declined card attempts?

Because they record events that happened: the club tried to charge a member and the bank refused. Removing them would erase the evidence that the retry rule works and hide a rising decline rate the business needs to see. The worksheet keeps them in the file, excludes them from revenue totals, and explains that choice in a row of its own.

When is changing a value acceptable?

When the change is mechanical and reversible, such as converting text amounts to numbers or normalizing state names to two-letter codes, and when it is logged with a count. Altering a value that carries business meaning, such as a member's status or an amount charged, belongs to the person who owns that record, so the worksheet flags it instead.

What if my extract has faults the sample does not?

Every AC442 file is seeded differently, so the worksheet is rebuilt on the faults your data actually contains. The structure carries over: tests in a justified order, finding separated from action, counts and dollars on every row, and a tie-out at the end. Faults unique to your file get rows of their own with the same columns.

Where can I find a free AC442 Unit 7 sample paper?

This page holds a complete AC442 Unit 7 data quality worksheet for a composite winery's club charges, with nine logged tests, actions and owners, a before-and-after count, a ledger tie-out and APA 7 references.

What do the 15,532 charges in AC442 Unit 7 tie to?

Their total, $2,648,710, equals club revenue of $2,318,760, shipping income of $187,340 and sales tax of $142,610 in the general ledger.