Back to home
Product · SAP Integration

The missing layer
in SAP analytics.

A business question goes in; a governed, analytics-ready warehouse comes out — with no consultant, no ABAP team and no data engineer in the loop. SCIKIQ's LLM-native pipeline scopes the right SAP tables, extracts them with business logic intact and builds the warehouse, collapsing three scarce specialists and three separate tools into one automated loop.

~10xfaster than the human path
3 → 1specialists into one loop
Zeroconsultants or ABAP
Book a live demo All modules
01The problem

Three scarce humans stand between SAP and every decision

A single business question runs through three specialists in sequence — months before one dashboard exists. And they are exactly the roles the market can no longer staff at pace.

The consultant

Decides which tables, fields and CDS views answer the business question — weeks of workshops and tribal knowledge.

The ABAP coder

Hand-writes extraction logic, table by table, keeping SAP business logic intact all the way through.

The data engineer

Designs and builds the target warehouse: schema, DDL, transforms, delta merge and history.

Impossible to staff

Slow, expensive and bookable only at inflating rates — a multi-month project before a single dashboard exists.

02Why now

The clock is running, and the talent isn't there

Every SAP estate must move its data on a hard clock — and as the 2027 deadline nears, the specialists who do it are booked out and charging more. The buyer's pain is a supply problem, and automation solves it directly.

The 2027 deadline

SAP ends mainstream maintenance for ECC 6.0 on 31 Dec 2027, with paid support only to 2030. Every estate must move its data — on a hard clock.

The skills gap

92% cite missing S/4HANA skills as the blocker, and experienced teams are booked out. The people to do this the old way simply are not there.

Rate inflation

As the deadline nears, consultant day-rates are inflating 10–50%. Waiting makes the human path both slower and more expensive.

The value-capture gap

ERP programmes run into the hundreds of millions, yet only about one in five capture half the projected value (McKinsey). The bottleneck is the data.

35,000SAP ECC estates worldwide (Gartner)
~17,000Still un-migrated at the 2027 deadline
92%Cite missing S/4HANA skills as the blocker
Dec 2027ECC mainstream support ends — no extension

The prize: what a unified SAP data foundation unlocks

When enterprises consolidate their data and put it to work, the outcomes are step-change, not incremental — illustrative results from large data-and-ERP transformations.

100+ → 1Data sources consolidated into one (McKinsey)
27%Lower inventory (McKinsey)
6–10%Higher forecast accuracy (McKinsey)
4×Faster reaction speed (McKinsey)
03The solution

SCIKIQ closes the loop

One platform. A business question goes in; a governed warehouse comes out. Three human roles and three separate tools collapse into a single automated, LLM-native loop — and the layer nobody else automates is the first one.

01

LLM Consultant

Reads the business question and selects the SAP tables, fields and views — the judgement step no competitor automates.

02

Automated ABAP

Extracts the data with SAP business logic intact — live at SCIKIQ today, no ABAP hand-coding.

03

LLM Warehouse Builder

Generates the schema, DDL, transforms, delta merge and history on your target warehouse.

04

BI · Why Engine · Governance

The warehouse is instantly useful — dashboards, KPIs, lineage and controls, from day one.

Under the hood

The inputs are your business question plus SAP's own metadata — the data dictionary, CDS views and real usage statistics (ST03N).

Retrieve & rank

RAG over the SAP catalogue maps the question to candidate tables, fields and joins, then ranks them by relevance and actual usage.

Extract with logic

The ABAP automation pulls the selected objects via ODP, CDS and tables — keeping SAP business logic intact.

Model & build

An LLM proposes a Kimball dimensional model, then generates the DDL, transforms and delta-merge on the target.

Trust is built in. Nothing lands unaudited: a human signs off the scoped source-map, every field carries full lineage back to SAP, and each mapping ships with a confidence score. SCIKIQ starts as an expert assistant and earns its autonomy.

04The difference

A no-code bridge that pays for itself

SCIKIQ Connect ships with a rich library of extraction and transformation routines that move SAP data from the application, database or API layer straight into a governed cloud data lake — overlaid with cataloguing, quality and lineage from the SCIKIQ Control module.

No ABAP, no code

Business and data teams build extractions in a visual designer — no ABAP hires, no bespoke connectors to maintain.

Non-invasive by design

Minimal-to-zero impact on the SAP source, with automated data reconciliation you can trust.

Governed & AI-ready

Every dataset lands catalogued, quality-checked and lineage-tracked — the governed foundation gen AI and agentic AI actually need.

Value in days

Collapse the data-to-action timeframe from months and years to days, and free your team for real analysis.

SCIKIQ SAP Data Migration advantages: non-invasive with minimal to zero impact on source, automated data reconciliation, extract from S4, BW or ECC with zero complexity, hybrid and multi-cloud, fast secure self-serve, visual no-code interface, 50-80 percent reduction in TCO, and fully fault tolerant with restart from the last checkpoint.
Why SCIKIQ A rich library of functions moves SAP data from the application, database or API layer to your cloud lake — non-invasive, no-code and 50–80% cheaper.
0ABAP developers to hire
~0Impact on the SAP source
50–80%Reduction in total cost of ownership
DaysFrom connection to first insight
05Extract anything

If it is in SAP, SCIKIQ can pull it

Reach SAP at whatever level fits the job — raw database writes, application functions, OData services or whole business processes — all through one no-code engine, full or delta.

Database level

An extraction framework reads data as it is written to the SAP database, transforms it and writes to Snowflake, Vertica and more.

Application level

Remote Function Call libraries connect natively to function modules, views, tables, queries, BAPIs and TCODEs.

OData services

Browse OData services via the SAP Catalog, retrieve entity metadata and design an extraction job in minutes.

Process migration

Pick a business process and let SCIKIQ pull data from every related table for consumption and dashboarding.

SCIKIQ SAP data integration extraction methods: Database Level, Application Level, API OData and Process migration for AP, AR and GL.
Methods One engine, four levels of access into SAP.

Full coverage, every object type

Full and delta extraction across every major SAP platform — down to the specific tables, extractors, views and functions your reports depend on.

S/4HANA · BW · ECC

S/4HANA, BW on HANA and BW/4HANA, and ECC on HANA — each with full and delta modes.

Tables

Transparent and clustered tables such as BSEG — full loads or delta by timestamp or incremental column.

Extractors & CDS

Standard and custom extractors and ABAP CDS views like I_SALESORDERITEMCUBE, full or delta.

TCODEs & BAPIs

Call TCODEs (VA03) and BAPIs (BAPI_MATERIAL_GET_DETAIL) directly, with guided parameters.

06Move data your way

Historic, delta, real-time — your call

Full backfill, daily change capture, live streams or a whole business process. Each is a no-code, schedulable, fault-tolerant job. Explore each approach below.

Historic load

Backfill the full history from SAP into an MPP target — Vertica, Snowflake, BigQuery and more.

Analyse before you ingest

Profile the data, metadata and DQ rules up front, so nothing lands in the lake unchecked.

Infra as code

Assign infrastructure declaratively; PODs spin up on demand to run the migration in parallel.

Pick your tables

Select the tables and objects to migrate and create the job — no scripting required.

Run & resume

Fault-tolerant jobs restart from the last checkpoint if anything fails mid-load.

SCIKIQ historic load screen: selecting an ORDERS table with column profiling, data-quality rules, metadata and a daily delta job toggle, copying to a new table in batches.
Historic load Profile, map and load — with schema inference, audit fields and DQ rules built into the migration screen.
07Ready-to-run processes

Business KPIs, not raw tables

This is what sets process migration apart: our functional experts have already mapped the key attributes and KPIs for core finance processes. A process owner picks AP, AR, GL or P2P — and gets analysis-ready metrics, without ever touching a table name.

Accounts Payable, out of the box

Every metric a payables team asks for — parked and blocked invoices, aging, days payable and processing cost — captured the moment you pick the process.

  • Parked invoices
  • Blocked invoices
  • Invoice lead time
  • Payable aging
  • Approval workflow time
  • Days payable
  • Suppliers with debit balances
  • Total invoices (period / year)
  • Expense head-wise invoices
  • Cost to process an invoice
  • % PO-related invoices
  • Reversals & errors
  • Credit memo analysis
  • Cash discount captured vs lost
08Enterprise-grade

Built to run in the enterprise

Infrastructure on demand, full fault tolerance and elastic scale — with the flexibility to fit however your data needs to flow.

Infrastructure on demand

PODs spin up automatically per job or schedule — no manual provisioning, no idle cost.

Fault tolerant

State is tracked at every level; failed tasks restart or resume from the current checkpoint.

Elastic scale

Micro-services scale horizontally and vertically — scale one service or the whole platform.

Observable

Elastic and APM integrated for robust logging and application-performance monitoring.

Six transfer topologies, one platform

Acquire once and publish many, consolidate into a warehouse, cascade to data products, virtualise without moving data, or run bi- and uni-directional flows — plus a lightweight API Hub with a drag-and-drop flow designer to connect anything, anywhere.

Six SCIKIQ data transfer topologies: Broadcast (acquire once, publish many), Integration and Consolidation (data warehouse or data lake), Cascading (data marts and data products), Virtualization (query the underlying database without migrating), Bi-directional (read and write via web hooks and APIs) and Uni-directional (real-time analytics and reverse post-migration).
Topologies Broadcast, consolidate, cascade, virtualise or run bi- and uni-directional flows — whatever the use case needs.
09The value, made concrete

One estate, two paths

The same SAP estate, delivered the old way and the SCIKIQ way. Roughly 10x faster, at a fraction of the cost — and the scarcity risk disappears.

The human path

3–6 months · ~$60k–250k+

  • Consultant scopes the tables — weeks of workshops
  • ABAP developer hand-builds extraction — weeks
  • Data engineer builds the warehouse — weeks
  • Hostage to hiring scarce, rate-inflating specialists
The SCIKIQ path

Days to a few weeks · a fraction of the cost

  • Ask the question in plain language
  • The LLM scopes the tables — in minutes, with lineage
  • Automated ABAP extracts — no coding
  • No scarce hires — governed, analytics-ready output

Proven at scale

And it scales linearly: a real benchmark over SAP OData — the same 40.9-million-record extract on 1×4GB PODs at increasing parallelism. PODs spin up on demand, so you only pay while the job runs.

40.9MRecords extracted via SAP OData
2h 01mon 1 POD
1h 08mon 3 PODs (year-wise)
27 minon 10 PODs (3-month batches)

Ready to set your SAP data free?

Bring your toughest SAP extraction — we will show you it running, no pitch, no form maze.

Talk to us

Frequently asked questions

Can SCIKIQ extract SAP data without ABAP or custom code?

Yes. SCIKIQ provides no-code, non-invasive SAP extraction — no ABAP coding, specialist consultants or data-engineering pipelines required.

Why does SAP data integration matter now?

SAP ECC mainstream maintenance ends in 2027, and the specialists needed to extract SAP data are scarce and expensive. SCIKIQ removes that dependency so you can capture SAP value sooner.