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A resource library for supply chain analytics teams.

Tools, references, and frameworks built by practitioners. Free to use. Shaped by years of hands-on enterprise supply chain work.

For supply chain and operations leaders: how the practice works

Explore by business problem

Metric definitions and reference builds — working dashboards over simulated data — organized by the question they answer.

Browse by system

Reference builds frozen on 2026-09-07.

All 14 reference builds

Start from the system you run

The same library, entered by source system — written for whoever has to query it. All of it free and ungated.

Every reference: tables · a quirks guide · an extraction guide — plus t-codes, programs or data entities where the system has them

One index — tables, KPIs, t-codes and guides. Try , , , or .

From the F4211 entry in the JD Edwards reference — the Julian date decode and implied-decimal scaling, exactly as the reference generates it.

3 parameters not filled: <catalog>, <schema_data>, <KCOO>

-- F4211 sales order lines, quirks handled
SELECT
  d.SDDOCO AS order_number,
  d.SDLITM AS item_number,
  CASE WHEN d.SDTRDJ IS NULL OR d.SDTRDJ = 0 THEN NULL
       ELSE DATE_ADD(MAKE_DATE(1900 + CAST(d.SDTRDJ AS INT) DIV 1000, 1, 1),
                     CAST(d.SDTRDJ AS INT) % 1000 - 1)
  END AS order_date,  -- CYYDDD Julian → DATE
  d.SDUORG AS qty_ordered,
  d.SDUPRC / POWER(10, 4) AS unit_price,  -- 4 implied decimals
  d.SDAEXP / POWER(10, 2) AS extended_price
FROM <catalog>.<schema_data>.f4211 d
WHERE d.SDKCOO = '<KCOO>'

References re-verified weekly; latest 2026-10-06.

Browse the full library

Shaped by real work

Analytics investments stick when the people building them understand the supply chain, not just the tools.

Nothing here started as content. Every reference in the library was written from years of hands-on work inside enterprise supply chains — the kind where exactly that gap was the problem, and closing it meant learning both the business and the data.

The practice takes consulting selectively and stays engaged through implementation, which is why the references read like working notes rather than vendor collateral.

Scope
demand planning, inventory, procurement, fulfillment, production
Platform
Databricks — Unity Catalog, Delta Lake, AI/BI dashboards
Method
Medallion layers into Kimball star schemas (the shape BI tools and Genie read correctly)
Engagement
A short intro call first; a scoped proposal only if it fits

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