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Introduction

This Data Flow Specification (DFS) defines the end-to-end data flow required to meet the following requirements:

Sub areaModelJira
Financial Ledger Reportingsemantic tag - gl account

tax

Headcount
AR/ APOperationalAcctgDocItem
Fixed Assetsfixed assets (need all depreciation areas)

Lease FX
Movements between periodsmovements between balances (look at stock, treasury and Group Reporting for inspiration)

cash flow - maybe covered by GR rather
Statistical Key FiguresSKF
Group Reportingcash flow




In a perfect world, we would create a KPI once and share it, to ensure consistency.

If a KPI is only calculated in the Analytical Model, it will not be shared. Reasons for defining at this level are:

  • Performance on aggregated data is better
  • Some KPI's must be calculated pre aggregation eg price x quantity

Can remove the measures for alternate currency /quantity as we will not use these as per KDD047 Universal parallel LedgersBut then how does this fit in with currency roles?

Reporting is done in tons so store rather than calc. Where if we dont persist again

Probably the same for value at bud rate. It has been decided that this will not be persisted but rather calculated.

Commentary will be added per model. This is not ideal as there is no leverage. 

GL Account Semantic Tags (Model)

Overview:

GL transactions grouped by GL Accounts as defined by a particular Account Hierarchy

Based on Business Content

Recreates the S/4 model in a more logical fashion that in S/4 (removes the hard coding in the CDS views)

Differs in some way to the Functional Area Semantic Tag model

Purpose:

Simplified reporting using semantic tags

This flow will be shared with other POD's

Notes:



Source System Extractors

SystemCodeExtractor NamePurposeDeltaTypeFrequencyJira RefExtended fieldsTexts

S/4 x

ACDOCA

I_GLACCOUNTLINEITEMRAWDATA

View does not implement the logic for extension ledgers (just basis ledgers)YTDcontinuous
there will be



Head count





S/4 xBSEGI_OPERATIONALACCTGDOCITEM






Inbound Layer

No inbound field adjustments are applied. Standard technical fields (load date/time, source system) are retained as delivered.

Persist data as found in the source system CDS view. This should be including any extensions.

Any data sourced from both S/4 environments, will be created using delta capture and re-persisted in Harmonisation layer. Assumption is that this data can be in cold storage if available.

In the Business Content, some calculated fields are populated with Null values to make the model compatible with SAP S/4HANA release 2020. These fields will now be added in the 1TL object and mapped, removing the NULL calculation.

TypeCodeTech NameLogicPotential ChangesPartitioning
TL1TL_ACDOCA

1TL_S4HR_I_GLAccountLineItemRawData

Retain all 402 fields even though SAP Business Content has 60 fields less. As the BCT is based on SAP 2023, I assume that these are new fields

extensions 

Source Ledger = 0L, CO, LG, LT, TX (will always be specified)

Fiscal Year = I guess can be specified

CDS View I_SemTagGLACcount from SAP S/4HANA provides the mapping between the G/L accounts and semantic tags. It is the key component of this model.

This CDS view does not have any key fields. The replication of data without key fields from CDS Views is not supported by the Replication Flow at moment. Instead the local table SAP_FI_IL_I_SemTagGLAccount is used in this model to support both SAP S/4HANA Cloud and SAP S/4HANA source systems. The inbound layer view SAP_FI_IL_SemTagGLAccount is based on this table.

Customer should perform the following activities after importing the content package:

  • Create a remote table from CDS View I_SemTagGLAccount of the connected SAP S/4HANA system and replicate the data.

  • Create a dataflow to populate the local table SAP_FI_IL_I_SemTagGLAccount from the remote table. (For SAP S/4HANA Cloud sources a conversion from Date to String Datatype is needed in the dataflow.)

or

  • Replace the local table SAP_FI_IL_I_SemTagGLAccount with the remote table in the inbound layer view SAP_FI_IL_ SemTagGLAccount.

The Inbound layer view G/L Account with Semantic Target (IL) (SAP_FI_IL_ SemTagGLAccount) is based on the local table SAP_FI_IL_I_SemTagGLAccount and has some simple data type conversions like date conversion.

Harmonisation Layer

Both transaction data or master data that is not tier 1 will require a union between environments and re-persisted. This is to improve performance.

TypeCodeTech NameLogicPotential Changes
TL2TL_ACDOCA

2TL_HARM_I_GLAccountLineItemRawData

Persist after union for performance

remove additional amount/quantity fields

Perform any calculations likes tonnes conversion and potentially conversion to budget group currency

Set as Delta Capture

Requires delete and recreate and you lose all the conversions

VR2VR_GLAccItm2VR_HARM_GLAccountLineItem

Changing name to replicate the corresponding CDS in S/4

Dates: cast to DATE

Need to add headcount somewhere, maybe here?

Could I combine with the next level?

VF2VF_GLAccItmV12VF_HARM_GLAccountLineItem V1

I_LedgerSourceLedger joined to I_LedgerCompanyCodeCrcyRoles to provide all the ledgers available to a company code

This has the effect of exploding the rows to ensure that all ledgers are created for every source ledger

Calculations: derive when statistical assignments for WBS, Sales Doc, Order, Cost Centre

pic shows as relational, sap is fact

2VR_ActPlnItm

 Union with the plan data 



Propagation Layer

TypeCodeTech NamePropertiesLogicPotential Changes
VF3VF_AcPlSemTagActlPlnJournalEntryItemSemTag

Fact

Remove redundant measures

Join ActPlan N:N SemTagGLAccount (filter for validity dates and excld FunctArea)

Can we reduce initial projection?
VF3VF_PFSemTagProfitLossSemanticTagFact

Create parameters for FinStatemtVersion and Category

Reduce dimensions (need to align to our needs)

Add associations




SemTag Leading Ledger

see BCT help doc


VR3VR_LeadLed2VR_HARM_GLAccountLineItemLeadingLedger


join on Leading Ledger




JEI/Operation view





Balance with movements





Headcount



Reporting Layer

TypeCodeTech NameLogicPotential Changes
MA4MA_PL_SemTagProfitLossSemanticTagKPIs

Measures: 19 restricted by Semantic tags and simple calculations

Variables: FinStatemtVersion, Category, Date









Balance with movements





Assets





Restructering





HSE



4MA_R2RGLR_SemanticTags

Supports:

  • ERP-682 Tax
  • ERP-1321 Corporate insurance

Includes technical details for:

  • Post-aggregation calculations
  • Restricted measures
  • Time-based analysis and drill-through

Calculated Measures (Post Aggregation Calculations / exception aggregation etc)

Report Field DescriptionSAP Table-Field Name / processComments / Calculation / Formula / Restriction dimensions and valuesAggregation of dataExample SAP field data
Notification CountProcess: constant 1 per notification row in unplanned projectionCounts maintenance notifications used in the unplanned side of the downtime fact. Supports: (a) Loss Driver # notifications per asset (ERP-1012) where required in dashboards, (b) general notification volume analysis. Implemented as 1 per row sourced from I_PMNotifMaintenanceData (notification grain).SUM1
Technical Availability % (optional)SAC Calculated Measure: (AvailableTime - TotalUnplannedDowntime) / AvailableTime * 100High-level availability KPI. AvailableTime must be defined by business rule (e.g., 24h days in period, with or without planned windows). Not sourced from CDS.CALCULATED



Restricted Measures

tbd

Currency Conversions

tbd

Variables

FieldRequired/OptionalScopeDefaultComment
Periods (Weeks / Months / Quarters)OptionalInterval (Date or Fiscal Period)Default = last xxxxxApplied using CreationDate or CreationDateTime


Data access controls


4MA_R2RGLR_Account Balance & Movements

Supports:

  • ERP-1564  Balances
  •  cash flow

4MA_R2RGLR_Depreciation

Supports:

  • ERP-293 - Depreciation Areas

Includes technical details for:

  • Post-aggregation calculations in SAC (e.g., hours conversions, ratios, availability formulas)
  • Restricted measures by breakdown / downtime flags and status
  • Time-based analysis (malfunction start/end, creation dates) and drill-through to Maintenance Notification

Dimensions & Measures are defined in the Functional Specification under “Dimensions & Measures: Requirements View”; the analytical model exposes those fields at notification grain without pre-aggregation.

Calculated Measures (Post Aggregation Calculations / exception aggregation etc)

Report Field DescriptionSAP Table-Field Name / processComments / Calculation / Formula / Restriction dimensions and valuesAggregation of dataExample SAP field data
Notification CountProcess: constant 1 per recordBase measure for notification-level counting.SUM1










Outbound Layer

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