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Sales Operations Reporting & Data Quality Project
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SectionCompleted Project Evidence
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Project typeApplied self-learning project using fully synthetic CRM and sales-operations data
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CV-ready bullet 1Analysed 240 synthetic CRM opportunity records and reconciled 128 CRM export rows using INDEX/MATCH, SUMIFS, COUNTIFS, formula-backed pivot-style summaries and data-cleaning functions.
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CV-ready bullet 2Identified 8 duplicate records and produced KPI reports, target-versus-actual variance analyses, pipeline-aging views and an operational dashboard.
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CV-ready bullet 3Completed 38 quality checks covering data completeness, calculation accuracy, stage consistency and classification logic.
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Business objectiveSupport pipeline visibility, performance reporting, CRM data quality, forecasting and operational follow-up.
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Primary datasetCRM Master contains exactly 240 clean synthetic opportunity records.
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Reconciliation scopeCRM Raw Export contains exactly 128 rows: 120 unique Opportunity IDs plus 8 excess duplicate records.
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Intentional raw-data issuesMissing Account IDs, missing owners, invalid stages, whitespace, amount variances and duplicate rows are intentional inputs for the cleaning and reconciliation work.
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Important distinctionIntentional raw-data exceptions are not workbook errors. The final CRM Master is complete; QA Audit must show 38/38 PASS and the formula-error scan must return zero.
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CRM & data managementAccount enrichment, stage validation, duplicate identification, field matching, amount reconciliation, completeness controls and data-quality reporting.
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Sales reportingOpen and weighted pipeline, closed-won revenue, win rate, target attainment, forecast coverage, representative performance and lead-source analysis.
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Operational reportingTarget-versus-actual variance, pipeline aging, stale-opportunity prioritisation and dashboard follow-up indicators.
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Excel methodsINDEX/MATCH, SUMIFS, COUNTIFS, IF/IFERROR, TRIM, VALUE, SUBSTITUTE, Excel Tables, date logic, conditional formatting, cross-tabs and charts.
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Synthetic-data noticeAll names, accounts, opportunities, amounts and results are fictional and created only for self-learning and portfolio evidence.
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Recommended review orderSTART_HERE → CRM Raw Export → CRM Reconciliation → CRM Master → Data Quality → KPI / Variance / Aging / Rep reports → Operational Dashboard → QA Audit
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Workbook statusCompleted, formula-driven and audited
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Reporting date2026-08-09
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Separate future projectNot included in this workbook.
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