SACM21: SAP Analytics Cloud Modeling in Data Transformation — Lesson 1: Data Acquisition, Connections, Imports, and Preparation

Learning Objectives

• Explain how Data Acquisition, Connections, Imports, and Preparation supports trusted SAP Analytics Cloud models.
• Complete the workflow and produce a reviewable SAC acquisition and preparation workbook.
• Evaluate the condition where an import job converts an identifier into a numeric field and removes leading zeros and select a supported response.

Detailed Topics

• data connections: business purpose, responsible roles, and SAP objects that establish the operating scope.
• data acquisition: configuration choices, master-data dependencies, and determination logic shaping the result.
• import jobs: transaction flow, status behavior, integration effects, and reviewable operational evidence.
• data preparation: control points, exception paths, testing needs, and release criteria protecting the outcome.

Instructor Demonstration

The instructor traces data connections, data acquisition, import jobs, data preparation through the scenario, explaining navigation, decisions, dependencies, system responses, and the evidence retained in SAC acquisition and preparation workbook. The walkthrough also investigates the condition where an import job converts an identifier into a numeric field and removes leading zeros.

Hands-On Exercise

Complete a controlled activity covering data connections, data acquisition, import jobs, data preparation and preserve the result in SAC acquisition and preparation workbook.

1. Confirm the business objective, organizational scope, roles, source data, and expected SAP result.
2. Execute the workflow in sequence while capturing settings, transactions, messages, and observations.
3. Introduce the stated exception and isolate the earliest divergence from the expected behavior.
4. Correct or contain the issue, retest the affected path, and record the accountable owner.

Scenario Analysis

• Which SAP object, rule, record, or process step most strongly influences Data Acquisition, Connections, Imports, and Preparation?
• What evidence separates configuration, data, authorization, integration, and timing causes in this scenario?
• How should the SAC acquisition and preparation workbook be approved, retained, monitored, and updated after handover?

Troubleshooting Guidance

Start at the earliest point where expected behavior differs from the observed result. Review process sequence, relevant data, configuration, authorization, integration, and timing as separate hypotheses. Treat “an import job converts an identifier into a numeric field and removes leading zeros” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.

Validation Checklist

• Required roles, structures, data, settings, and dependencies for Data Acquisition, Connections, Imports, and Preparation are present.
• The SAC acquisition and preparation workbook links each conclusion to objective and reviewable SAP evidence.
• Normal processing, the stated exception, integration behavior, and access boundaries were tested.
• Corrections, retest criteria, ownership, monitoring, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply Data Acquisition, Connections, Imports, and Preparation, explain the resulting SAP behavior, and defend the outcome through SAC acquisition and preparation workbook.